CN113744821B

CN113744821B - Information detection method and device and storage medium

Info

Publication number: CN113744821B
Application number: CN202110125740.8A
Authority: CN
Inventors: 徐山豹; 王军; 周谦; 赵俊; 杨帅
Original assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Current assignee: Beijing Jingdong Tuoxian Technology Co Ltd
Priority date: 2021-01-29
Filing date: 2021-01-29
Publication date: 2024-08-16
Anticipated expiration: 2041-01-29
Also published as: CN113744821A; KR20230128082A; WO2022161133A1

Abstract

The invention provides an information detection method, an information detection device and a storage medium; acquiring patient information, disease information and medicine information in a prescription file; then acquiring instruction indication of the medicine information, and if the instruction indication is not matched with the disease information, acquiring supplementary data of the medicine information and supplementary data of the disease information; if the supplementary data of the medicine information and the supplementary data of the disorder information are matched, the use information of the medicine information is acquired, and then by detecting whether the use information is matched with the disorder information and the patient information, since the supplementary data of the medicine information and the supplementary data of the disorder information are in a preset database, the obtained medicine information and other supplementary data not included in the medicine instruction book of the disease information are mined, so that the matching degree of the medicine information and the disease information in the prescription can be comprehensively checked through matching the supplementary data of the disease information and the supplementary data of the medicine information, and errors of checking the prescription are reduced.

Description

Information detection method and device and storage medium

Technical Field

The embodiment of the invention relates to the technical field of prescription drug auditing, in particular to an information detection method and device and a storage medium.

Background

The current medical institution intelligent auditing platform assists pharmacists to audit the outpatient prescriptions and hospitalization orders in the aspects of legitimacy, standardization, adaptability and the like of the prescriptions by interfacing with a hospital information system.

The existing auditing mode is mainly machine auditing, but the machine auditing is to audit the corresponding matching degree of the medicine and the patient symptoms through a standard medicine instruction book. When facing the complex problem in the prescription, the existing auditing mode only audits according to the information directly extracted from the prescription, and only audits the most basic symptom information in the drug instruction and the matching degree of the patient symptoms, so that the auditing capability is insufficient, and the auditing result error is larger.

Disclosure of Invention

According to the information detection method and device and the storage medium, errors of prescription verification can be effectively reduced.

The technical scheme of the invention is realized as follows:

The embodiment of the invention provides an information detection method, which comprises the following steps:

acquiring a prescription file, and acquiring patient information, disease information and medicine information in the prescription file;

Acquiring instruction indications corresponding to the medicine information;

if the instruction indication is not matched with the disease information, carrying out path searching on the corresponding disease information and the medicine information in a preset mapping relation, and further acquiring the supplementary data of the medicine information and the supplementary data of the disease information;

if the supplementary data of the disease information is matched with the supplementary data of the medicine information, acquiring the use information of the medicine information; the usage information characterizes medication limitation information of the medicine information;

And determining an information detection result by detecting whether the usage information is matched with the disease information and the patient information.

In the above-mentioned solution, after the instruction indication corresponding to the drug information is obtained, the method further includes, before determining an information detection result by detecting whether the usage information matches with the condition information and the patient information, the method further includes:

if the instruction indication matches the condition information, the usage information is obtained.

In the above aspect, the method further includes, before the acquiring the prescription file, acquiring the patient information, the disease information, and the drug information in the prescription file:

Acquiring disease basic data and medicine basic data; the disease basic data represents relevant expression applicable to the disease and description information related to a lesion part; the medicine basic data represents symptom information of medicine use and descriptive information related to a medicine application position;

Performing normalized conversion treatment on the disease basic data and the medicine basic data to obtain a disease knowledge graph corresponding to the disease basic data and a medicine knowledge graph corresponding to the medicine basic data;

And constructing a first mapping relation between the disease information and the corresponding disease knowledge graph, and constructing a second mapping relation between the medicine information and the corresponding medicine knowledge graph.

In the above scheme, the disease knowledge graph includes: the supplementary data corresponding to the disease information, and the medicine knowledge graph comprises: supplementary data of the drug information.

In the above scheme, the acquiring the disease basic data and the medicine basic data includes:

acquiring basic data of the medicines in Western medicine specifications and Chinese medicine specifications;

in Western medicine disease data, the disease basic data are obtained.

In the above scheme, the performing normalized conversion processing on the condition basic data and the medicine basic data to obtain a condition knowledge graph corresponding to the condition basic data and a medicine knowledge graph corresponding to the medicine basic data includes:

unifying units of the disease basic data, removing noise data of the disease basic data, and performing data mining and structuring to obtain a disease knowledge graph;

unifying the units of the basic data of the medicine, removing noise data of the basic data of the medicine, and performing data mining and structuring to obtain the medicine knowledge graph.

In the above-mentioned scheme, the noise data of the disease basic data includes: ambiguous data and duplicate data in the condition basis data; noise data of the drug base data includes: ambiguous data and duplicate data in the drug base data.

In the above solution, the preset mapping relationship includes: a first mapping relationship and the second mapping relationship;

If the instruction indication does not match the disorder information, performing path searching in a preset mapping relation corresponding to the disorder information and the medicine information, and further obtaining the supplementary data of the medicine information and the supplementary data of the disorder information, including:

If the instruction indication does not match the disease information, searching and acquiring the supplementary data of the medicine information in the second mapping relation, and searching and acquiring the supplementary data of the disease information in the first mapping relation; wherein,

The supplemental data of the medication information includes at least one of: drug component information of drug information, action organ information of drug information, adaptation symptom information of drug information, super-specification use cycle evaluation information of drug information, notice information of drug information, and drug number information of drug information;

the supplemental data of the condition information includes at least one of: treatment step information of the disorder information, focus position information of the disorder information, symptom information of the disorder information, disorder number information of the disorder information, concurrent disorder information of the disorder information, similar disorder information of the disorder information and concurrent disorder information of the disorder information.

In the above scheme, the medicine information includes first medicine information and second medicine information; the preset mapping relation comprises the following steps: a first mapping relationship and the second mapping relationship;

If the instruction indication does not match the disorder information, performing path searching on the disorder information and the medicine information in a preset mapping relation, so as to obtain the supplementary data of the medicine information and the supplementary data of the disorder information, including:

If the instruction indication does not match the disease information, searching for first supplementary data of the first medicine information and second supplementary data of the second medicine information in the second mapping relation, and searching for supplementary data of the disease information in the first mapping relation; wherein,

The first supplemental data includes at least one of: drug component information of the first drug information, action organ information of the first drug information, adaptive symptom information of the first drug information, super-specification use cycle evaluation information of the first drug information, notice information of the first drug information, and drug number information of the first drug information; the second supplemental data includes: adverse reaction information of the second medicine information;

the supplemental data of the condition information includes at least one of: treatment step information of disorder information, focus position information of disorder information, symptom information of disorder information, cause information of disorder information and disorder number information of disorder information.

In the above aspect, the acquiring the usage information of the drug information if the supplemental data of the condition information matches the supplemental data of the drug information includes:

If the first supplementary data does not match the supplementary data of the disease information, detecting whether the first supplementary data matches the second supplementary data;

If the first supplementary data are matched with the second supplementary data, acquiring the use information of the medicine information; the first supplemental data matches the second supplemental data with adaptive symptom information characterizing the first drug information and with adverse reaction information of the second drug information.

In the above aspect, the determining the information detection result by detecting whether the usage information matches the condition information and the patient information includes:

if the usage information matches the condition information and the patient information, determining that the information detection passes;

If the usage information does not match the condition information and the patient information, determining that the information detection fails.

In the above solution, the usage information includes: the medicine information comprises usage amount information of the medicine information, repeated medicine information of the medicine information, interaction information of the medicine information, incompatibility information of the medicine information, warning information of the medicine information, super-multiple daily amount examination information of the medicine information and medical insurance regulation information of the medicine information.

The embodiment of the invention also provides an information detection device, which comprises:

A file acquisition unit configured to acquire a file in which patient information, disorder information, and drug information are acquired;

an information extraction unit, configured to obtain instruction indications corresponding to the drug information;

The first processing unit is used for searching paths in a preset mapping relation corresponding to the disease information and the medicine information if the instruction indication is not matched with the disease information, so as to acquire the supplementary data of the medicine information and the supplementary data of the disease information;

A second processing unit, configured to acquire usage information of the drug information if the supplementary data of the disorder information matches with the supplementary data of the drug information;

And the detection unit is used for determining an information detection result by detecting whether the use information is matched with the disease information and the patient information.

An information detection device according to an embodiment of the present invention includes a memory and a processor, where the memory stores a computer program executable on the processor, and where the processor implements the steps of the method as described above when the processor executes the program.

The embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as described above.

In the embodiment of the invention, the patient information, the disease information and the medicine information are acquired from the prescription file; if the instruction indication of the medicine information is not matched with the disease information, carrying out path searching on the corresponding disease information and the medicine information in a preset mapping relation, and further acquiring the supplementary data of the medicine information and the supplementary data of the disease information; if the supplementary data of the disease information is matched with the supplementary data of the medicine information, acquiring the use information of the medicine information; the information detection result is determined by detecting whether the usage information is matched with the disease information and the patient information, and because the supplementary data of the medicine information and the supplementary data of the disease information are in a preset database, the supplementary data of the acquired medicine information and the supplementary data not included in other medicine specifications of the disease information are mined, so that the matching degree of the medicine information and the disease information in the prescription can be comprehensively checked by matching the supplementary data of the disease information with the supplementary data of the medicine information, and the error of checking the prescription is reduced.

Drawings

FIG. 1 is a schematic flow chart of an alternative information detection method according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 3 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 4 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 5 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 6 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 7 is a schematic flow chart of an alternative information detection method according to an embodiment of the present disclosure;

FIG. 8 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 9 is a schematic flow chart of an alternative method for detecting information according to an embodiment of the present disclosure;

FIG. 10 is a schematic flow chart of an alternative information detection method according to an embodiment of the present disclosure;

FIG. 11 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 12 is a schematic flow chart of an alternative method for detecting information according to an embodiment of the present disclosure;

FIG. 13 is a schematic diagram showing an optional effect of the information detection method according to the embodiment of the present disclosure;

FIG. 14 is a schematic flow chart of an alternative method for detecting information according to an embodiment of the present disclosure;

fig. 15 is a schematic structural diagram of an information detection device according to an embodiment of the present disclosure;

Fig. 16 is a schematic diagram of a hardware entity of an information detection apparatus according to an embodiment of the present disclosure.

Detailed Description

The technical solution of the present invention will be further elaborated with reference to the accompanying drawings and examples, which should not be construed as limiting the invention, but all other embodiments which can be obtained by one skilled in the art without making inventive efforts are within the scope of protection of the present invention.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.

If a similar description of "first/second" appears in the present document, the following description is added, in which the terms "first/second/third" merely distinguish similar objects and do not represent a specific ordering of the objects, it being understood that the "first/second/third" may, where allowed, interchange a specific order or precedence order such that the embodiments of the invention described herein can be implemented in an order other than that illustrated or described herein.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to be limiting of the invention.

Fig. 1 is a schematic flow chart of an alternative method for detecting information according to an embodiment of the present disclosure, and will be described with reference to the steps shown in fig. 1.

S01, acquiring a prescription file, and acquiring patient information, disease information and medicine information in the prescription file;

In the embodiment of the invention, a doctor prescribes. The information detection device can scan or extract the prescription, so as to obtain the patient information, the disease information and the medicine information in the prescription file. The information detection device can also extract patient information, disorder information and medicine information in the prescription through an intelligent recognition method.

In the embodiment of the invention, a doctor can write the prescription on the prescription form in a handwriting manner, so that a paper prescription file is formed. The doctor can also prescribe the electronic prescription through the intelligent terminal, so that an electronic prescription file is formed. When the information detection device acquires the paper prescription file, the information detection device can acquire the picture of the paper prescription file through the camera, and the information detection device extracts the information on the paper prescription file through the intelligent identification method, so that the patient information, the disease information and the medicine information on the paper prescription file are acquired. When the information detection device acquires the electronic prescription file, the information detection device can directly extract the electronic prescription file through an intelligent identification method, so that the patient information, the disease information and the medicine information on the electronic prescription file are acquired.

With reference to fig. 2, an effect diagram of a prescription file prescribed for a doctor is shown. Wherein the name column, gender column, and age column reflect patient information. Wherein the clinical diagnostic column reflects the condition information. Wherein the medication dispensing column reflects the medication information. The drug information may include at least one of a drug name and usage information. Wherein the medicine name can be the name of Chinese medicinal materials or western medicines.

S02, acquiring instruction indication corresponding to the medicine information.

In the embodiment of the invention, after the information detection device acquires the medicine information in the prescription file, the information detection device can acquire the instruction indication corresponding to the pre-stored medicine information in the preset database. Wherein, the instruction indication is the treatable disease information reflected in the instruction of the medicine information.

Referring to fig. 3, in an embodiment of the present invention, the database may include: data layer, information layer, knowledge layer and intelligent layer.

In an embodiment of the present invention, a data layer includes: western medicine Specification: the knowledge sources of the drug standard instruction book, such as the drug standard indication, the dosage of the usage and the like. Western medicine disease database: sources of knowledge related to the disease, such as disease descriptions, symptoms, aka names, etc. Database of traditional Chinese medicine prescriptions: the knowledge sources of the Chinese medicine prescription, such as indications, compatibility characteristics, dialectical points and the like. Database of traditional Chinese medicine prescription: knowledge sources of traditional Chinese medicine materials such as medicine property, nature and taste, meridian tropism, efficacy, clinic and the like. Evaluation of drug evidence following in the super instruction book: related knowledge of the medicine superinstruction, such as superinstruction indication, superinstruction administration route and the like, historical prescriptions, national medical insurance catalogues, clinical guidelines, superinstruction use evaluation of Chinese patent medicines and the like.

In the embodiment of the invention, the information layer mainly carries out data cleaning, data mining and data informatization on the data of the data layer. Wherein, the data cleaning is used for the focus on medicine/disease disambiguation, unit standardization and medicine/disease duplication removal. Data mining for similar prescription mining, same syntax instruction mining, and data informatization for forming structured data for modeling and machine understanding

In the embodiment of the invention, the knowledge layer is used for constructing a plurality of knowledge maps, the knowledge map construction quality determines the accuracy of the information detection device for understanding the prescription, and the knowledge maps comprise the following knowledge maps but are not limited to the following: drug knowledge graph: including entities such as medicines/indications, relationships such as purpose of medication/applicable crowd, and attribute information such as medicine name/specification/manufacturer. Disease knowledge graph: including the relationship of diseases, medicines/diseases/symptoms, etc., and the relationship of treatment methods/common medicines/common symptoms, etc., the disease name/disease etiology/treatment mode, etc.

With reference to fig. 4, a knowledge graph effect diagram is provided in an embodiment of the present invention. The relationship between the medicine information and the medicine information in the knowledge graph effect graph comprises: combination: i.e. two or more drugs in the specification act simultaneously as the primary treatment for the primary condition or diseases. Combination: that is, two or more drugs are often prescribed simultaneously in a historical prescription to have a major therapeutic effect on the primary condition or disease. Auxiliary: the auxiliary main medicine can strengthen the medicine for treating main diseases or main symptoms. Assisting: one aspect is a medicament for treating minor complications; on the other hand, the medicine can eliminate or slow down the toxicity and adverse reaction of the main medicine. The relationships between disorders and conditions include: and then: refers to the occurrence of one disorder or symptom which causes another disorder or symptom in the development process, wherein the latter is the complication of the former; another complication is that during the course of medical care, the patient has one condition associated with it, and another or several conditions associated with it. Similarly: refers to the symptoms and causes of similar symptoms. Combining: complications refer to the co-occurrence of several conditions, with no causal relationship between the conditions. The medicine includes information: instruction indication, medicine component of medicine, acting organ of medicine, indication symptom of medicine and number of medicine. The condition includes information: the treatment step of the disorder, the focal site of the disorder, the symptoms of the disorder, and the numbering of the disorder.

In the embodiment of the invention, the intelligent layer is used for supplementing the disease information and the medicine information in the prescription file based on a plurality of knowledge maps constructed by the knowledge layer. The information detection device can extract the supplementary data of the medicine information and the supplementary data of the disease information from the knowledge layer and the information layer by combining the medicine information and the disease information with the rule engine through the intelligent layer. Wherein the rule engine comprises: indication rule, usage rule, repeated administration rule, interaction rule and incompatibility rule.

S03, if the instruction is not matched with the disease information, carrying out path searching on the corresponding disease information and the medicine information in a preset mapping relation, and further obtaining the supplementary data of the medicine information and the supplementary data of the disease information.

In the embodiment of the invention, after the information detection device acquires the instruction indication of the medicine information, the information of the treated symptoms and the information of the symptoms indicated in the instruction indication are matched, and if the information of the treated symptoms and the information of the symptoms indicated in the instruction indication are not matched. The information detection device can extract the supplementary data of the medicine information and the supplementary data of the disease information from the knowledge layer and the information layer by combining the medicine information and the disease information through a preset mapping relation in the database.

In an embodiment of the present invention, the supplementary data of the drug information includes at least one of: medicine component information of medicine information, action organ information of medicine information, adaptation symptom information of medicine information, super-description use cycle evaluation information of medicine information, notice information of medicine information and medicine number information of medicine information.

In the embodiment of the present invention, when the drug information characterizes that a plurality of drugs exist in the prescription file, the supplementary data of the drug information further includes: adverse reaction information of drug information.

In an embodiment of the present invention, the supplementary data of the condition information includes at least one of: treatment step information of the disorder information, focus position information of the disorder information, symptom information of the disorder information, disorder number information of the disorder information, concurrent disorder information of the disorder information, similar disorder information of the disorder information and concurrent disorder information of the disorder information.

S04, if the supplementary data of the medical information matches the supplementary data of the medicine information, the usage information of the medicine information is acquired.

In the embodiment of the invention, when the information detection device detects that the supplementary data of the disease information is matched with the supplementary data of the medicine information, the information detection device can acquire the use information corresponding to the medicine information in the prescription file. Wherein the usage information characterizes: medication limitation information of the medicine information. The usage information includes: usage information of medicine information, repeated medicine information of medicine information, interaction information of medicine information and incompatibility information of medicine information, warning information of medicine information, super-daily-use quantity examination information of medicine information and medical insurance regulation information of medicine information.

In the embodiment of the invention, the supplementary data of the disease information and the supplementary data of the medicine information are matched and characterized: the supplemental data of the drug information is used to treat or act on the focal site or symptom of the response of the condition information.

Referring to fig. 5, in an embodiment of the present invention, the information detection device detects the prescription file in fig. 5, and may obtain the drug information as follows: lidocaine hydrochloride injection. The disease information is: periapical inflammatory conditions. First, the information detection device obtains instruction indications of lidocaine hydrochloride injection from a database. Wherein, the instruction indication of the lidocaine hydrochloride injection is characterized by: lidocaine hydrochloride injection is not used for treating periapical inflammatory diseases. The information detection device obtains information that the instruction indication of the lidocaine hydrochloride injection is not matched with the disease information. Then the information detection device acquires supplementary data of periapical inflammatory disease from a preset mapping relation of a database: treatment step information of periapical inflammatory diseases and supplementary data of lidocaine hydrochloride injection are obtained: information on the adaptation symptoms of lidocaine hydrochloride injection. Wherein the information of the treatment steps of the periapical inflammatory disease is characterized in that the periapical inflammatory disease needs to be subjected to local anesthesia during treatment. Characterization of the symptomatic information of lidocaine hydrochloride injection: lidocaine hydrochloride injection is used for local anesthesia. The information detection device is used for matching the treatment step information of the periapical inflammatory disease with the adaptation symptom information of the lidocaine hydrochloride injection to obtain information of matching the treatment step information of the periapical inflammatory disease with the adaptation symptom information of the lidocaine hydrochloride injection. The information is also information that matches the supplemental data of the drug information and the supplemental data of the disorder information. And finally, the information detection device can acquire the use information corresponding to the lidocaine hydrochloride injection in the database.

Referring to fig. 6, in an embodiment of the present invention, the information detection device detects the prescription file in fig. 6, and may obtain the drug information as follows: hydroxybenzene Huang Gaipian; the disease information is diabetes. First, the information detecting apparatus acquires the instruction indication of the oxybenzene Huang Gaipian in the database. Wherein, the instruction indication of the oxybenzene Huang Gaipian is characterized by: the calcium tablet of oxybenzene is not used for treating diabetes. The information detecting means acquires information that the instruction indication of the oxybenzene Huang Gaipian does not match the condition information. Then the information detection device acquires the supplementary data of diabetes in a preset mapping relation: diabetic complications information and supplemental data to the oxybenzene Huang Gaipian: information on the adaptation symptoms of calcium oxybenzene oxide tablets. Wherein the diabetic complications information characterizes retinal diseases included in diabetic complications. Characterization of the adaptation symptom information of the calcium-oxybenzene yellow tablets: the calcium hydroxide tablet is used for treating retina diseases. The information detection device matches the diabetic complication information with the symptom information of the calcium hydroxide tablet, and obtains the information of the diabetic complication information matched with the symptom information of the calcium hydroxide tablet. That is, information is obtained that the supplemental data of the condition information matches the supplemental data of the medication information. Finally, the information detection device can acquire the use information corresponding to the oxybenzene Huang Gaipian in the database.

S05, determining an information detection result by detecting whether the usage information is matched with the disease information and the patient information.

In the embodiment of the invention, the information detection device can match each piece of information in the use information with the disease information and the patient information one by one, so as to determine the information detection result. If the usage information acquired by the information detection device is matched with the disease information and the patient information, the information detection device determines that the information of the prescription file passes the detection. If any one of the above-mentioned use information acquired by the information detection device does not match the condition information and the patient information, the information detection device determines that the information detection of the prescription file is failed.

Referring to fig. 5, in the embodiment of the present invention, the usage amount information of the lidocaine hydrochloride injection obtained by the information detection device is: 10ml. The information detection device acquires patient information of an age column as follows: age 12. The information detection device uses the lidocaine hydrochloride injection as the usage amount information: the 10ml information and patient information are: the information of 12 years old is matched, and as the lidocaine hydrochloride injection must not exceed 5ml when being used for minors, the usage amount information of the lidocaine hydrochloride injection is determined as follows: the 10ml information and patient information are: the information at age 12 does not match, thereby determining that the information of the prescription file fails the test.

In some embodiments, referring to fig. 7, fig. 7 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, and S06 is further included between S02-S05 shown in fig. 1, and each step will be described in connection with the description.

S06, if the instruction manual matches the disease information, the usage information is acquired.

In the embodiment of the invention, after the information detection device acquires the instruction indication, the information detection device matches the symptoms and the information of the symptoms which are indicated to be treated in the instruction indication, and if the symptoms and the information of the symptoms which are indicated to be treated in the instruction indication are matched. The information detecting means acquires the usage information corresponding to the medicine information in the prescription file.

In some embodiments, referring to fig. 8, fig. 8 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, and S07-S09 is further included before S01 shown in fig. 1, and the description will be made with reference to the steps.

S07, acquiring disease basic data and medicine basic data.

In the embodiment of the invention, before the information detection device detects the prescription information, a preset mapping relation is firstly required to be constructed based on a data layer, an information layer, a knowledge layer and an intelligent layer in a database. First, the information detection device acquires condition base data of condition information and medicine base data of medicine information in a data layer. The disease basic data represents relevant expression applicable to the disease and description information related to the lesion site; the drug base data characterizes symptom information of drug use and descriptive information related to the drug administration site.

In the embodiment of the invention, the information detection device can acquire the basic medicine data of the medicine information in the Western medicine instruction book, the Chinese medicine prescription database, the medicine evidence-based evaluation of the super instruction book, the historical prescription, the national medical insurance catalog and the Chinese patent medicine super instruction use evaluation of the data layer. Wherein, the medicine basic data includes: the medicine components of the medicine, the acting organs of the medicine, the adaptation symptoms of the medicine, the number of the medicine, adverse reaction information and the like.

In the embodiment of the invention, the information detection device can acquire the disease basic data of the disease information from the Western medicine disease database and the clinical guideline of the data layer. Wherein the underlying data for the condition comprises: the treatment step of the disorder, the focal site of the disorder, the symptoms of the disorder, and the numbering of the disorder.

S08, carrying out normalized conversion treatment on the disease basic data and the medicine basic data to obtain a disease knowledge graph corresponding to the disease basic data and a medicine knowledge graph corresponding to the medicine basic data.

In the embodiment of the invention, the information detection device respectively unifies corresponding units of the disease basic data and the basic data of the medicine, and converts the unified units into the structural data which can be acquired by a computer, so that a disease knowledge graph corresponding to the disease basic data and a medicine knowledge graph corresponding to the medicine basic data can be acquired.

Wherein, the disease knowledge graph comprises: the medicine knowledge graph comprises the following supplementary data corresponding to the disease information: supplementary data of the drug information.

S09, constructing a first mapping relation between the disease information and the corresponding disease knowledge graph, and constructing a second mapping relation between the medicine information and the corresponding medicine knowledge graph.

In the embodiment of the invention, the information detection device constructs a first mapping relation between each disorder information and the corresponding disorder knowledge graph. I.e. a first mapping between each condition information and the corresponding supplementary data is constructed. The information detection device constructs a second mapping relation between each piece of medicine information and the corresponding medicine knowledge graph. That is, a second mapping relationship between each medicine information and the corresponding supplementary data is constructed.

In some embodiments, referring to fig. 9, fig. 9 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, and S07 shown in fig. 8 may also be implemented through S10-S11, and will be described in connection with the steps.

S10, acquiring basic data of the medicine in the Western medicine instruction book and the Chinese medicine instruction book.

In the embodiment of the invention, before the information detection device detects the prescription information, firstly, the information detection device acquires the disease basic data of the disease information and the medicine basic data of the medicine information in the western medicine instruction book and the Chinese medicine instruction book in the data layer.

Wherein the western medicine instruction may include: the medicine evidence-based evaluation of the super specification, the national medical insurance catalogue and the historical prescription. The medicine instruction book may include: chinese medicine prescription database, chinese medicine prescription database and Chinese patent medicine superinstruction use evaluation for acquiring medicine information

S11, acquiring disease basic data in Western medicine disease data.

In the embodiment of the invention, the information detection device acquires basic data of the disease information from the Western medicine disease data.

In some embodiments, referring to fig. 10, fig. 10 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, and S08 shown in fig. 8 may also be implemented through S12-S13, and will be described in connection with the steps.

And S12, unifying units of the disease basic data, removing noise data of the disease basic data, and performing data mining and structuring treatment to obtain a disease knowledge graph.

In the embodiment of the invention, the information detection device unifies units in the disease basic data. For example, the heat generation temperatures in the disease base data are unified. And then removing noise data in the disease basic data, and performing data mining on the disease basic data. Such as mining complications information in the underlying condition data. And then structuring the disease basic data to obtain information which can be processed by a computer. I.e. knowledge-graph of the condition.

In an embodiment of the present invention, noise data of condition basis data includes: ambiguous data and duplicative data in the condition basis data. The structuring processing of the disease basic data may be that text information of the disease basic data is processed by an algorithm to obtain corresponding character information, and the corresponding character information is stored in a computer database.

And S13, unifying units of the basic data of the medicine, removing noise data of the basic data of the medicine, and performing data mining and structuring to obtain a medicine knowledge graph.

In the embodiment of the invention, the information detection device unifies units in the basic data of the medicine. For example, the dosage in the basic data of the medicine is unified into milliliters. And then removing noise data in the basic data of the medicine, and carrying out data mining on the basic data of the medicine. For example, adverse reaction information in basic data of medicines is mined. And then structuring the basic data of the medicine to obtain information which can be processed by a computer. Namely the medicine knowledge graph.

In the embodiment of the invention, the noise data of the basic data of the medicine comprises: ambiguous data and duplicate data in the drug base data. The structuring process of the basic data of the medicine can be to process the text information of the basic data of the disease through an algorithm to obtain the corresponding character information, and store the corresponding character information in a computer database.

In some embodiments, referring to fig. 11, fig. 11 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, S03 shown in fig. 1 may also be implemented through S14, and the description will be made with reference to the steps.

S14, if the instruction is not matched with the disease information, searching the supplementary data for acquiring the medicine information in the second mapping relation, and searching the supplementary data for acquiring the disease information in the first mapping relation.

In the embodiment of the invention, after the information detection device acquires the instruction indication of the medicine information, the information of the treated symptoms and the information of the symptoms indicated in the instruction indication are matched, and if the information of the treated symptoms and the information of the symptoms indicated in the instruction indication are not matched. The information detecting means may search the first mapping relation for supplementary data corresponding to the condition information. Meanwhile, the information detection device searches the supplementary data corresponding to the medicine information in the second mapping relation.

The supplemental data of the drug information includes at least one of: medicine component information of medicine information, action organ information of medicine information, adaptation symptom information of medicine information, super-description use cycle evaluation information of medicine information, notice information of medicine information and medicine number information of medicine information.

The supplemental data for the condition information includes at least one of: treatment step information of the disorder information, focus position information of the disorder information, symptom information of the disorder information, disorder number information of the disorder information, concurrent disorder information of the disorder information, similar disorder information of the disorder information and concurrent disorder information of the disorder information.

In some embodiments, referring to fig. 12, fig. 12 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, and S03-S04 shown in fig. 1 may also be implemented through S15-S18, and will be described in connection with the steps.

And S15, if the instruction is not matched with the disease information, searching the first supplementary data for acquiring the first medicine information and the second supplementary data for acquiring the second medicine information in the second mapping relation, and searching the supplementary data for acquiring the disease information in the first mapping relation.

In the embodiment of the invention, the information detection device acquires two pieces of medicine information, namely the first medicine information and the second medicine information, from the prescription file. After the information detection device acquires the instruction indication of the first medicine information and the second medicine information, the instruction indication indicates the treated disease and the disease information are matched, and if the instruction indication of the first medicine information and the second medicine information indicates the treated disease and the disease information are not matched. The information detecting means may search for the first supplementary data for acquiring the first medicine information and the second supplementary data for acquiring the second medicine information in the second mapping relationship while searching for the supplementary data for acquiring the condition information in the first mapping relationship.

The first supplemental data includes at least one of: the medicine composition information of the first medicine information, the action organ information of the first medicine information, the adaptive symptom information of the first medicine information, the super-description use cycle evaluation information of the first medicine information, the notice information of the first medicine information and the medicine number information of the first medicine information. The second supplemental data includes: adverse reaction information of the second drug information.

The supplemental data for the condition information includes at least one of: treatment step information of disorder information, focus position information of disorder information, symptom information of disorder information, cause information of disorder information and disorder number information of disorder information.

S16, if the first supplementary data is not matched with the supplementary data of the disease information, detecting whether the first supplementary data is matched with the second supplementary data.

In the embodiment of the invention, if the information detection device detects that the first supplementary data of the first medicine information is not matched with the supplementary data of the disease information. I.e. the first supplementary data of the first medication information is not supplementary data of the symptomatic disorder information. The information detecting means starts to detect whether the first supplementary data and the second supplementary data match.

And S17, if the first supplementary data are matched with the second supplementary data, acquiring the use information of the medicine information.

In the embodiment of the invention, if the adaptive symptom information in the first supplemental data of the first medicine information matches the adverse reaction information in the second supplemental data of the second medicine information. The information detecting means acquires the usage information corresponding to the medicine information in the database.

Wherein the usage information includes: usage information of medicine information, repeated medicine information of medicine information, interaction information of medicine information, incompatibility information of medicine information, warning information of medicine information, super-daily-use inspection information of medicine information and medical insurance regulation information of medicine information.

Referring to fig. 13, in an embodiment of the present invention, the information detection device detects the prescription file in fig. 13, and may obtain the drug information as follows: glucocorticoids and calcium agents; the disease information is acute urticaria. First, the information detection device obtains instruction indications for glucocorticoids and calcium agents in a database. Wherein, the instruction indication of glucocorticoid is characterized by: glucocorticoid is used for treating acute urticaria, and instruction indication characterization of calcium agent: calcium agents are not used to treat acute urticaria. The information detecting means acquires information that the first supplemental data of the calcium agent does not match the condition information. Then the information detection device acquires second supplementary data of the glucocorticoid from a knowledge graph constructed by a smart layer of the database: adverse reaction information of glucocorticoid and first supplementary data of calcium agent are obtained: information on the adaptation symptoms of calcium agents. Wherein the adverse reaction information of the glucocorticoid is characterized in that the glucocorticoid is easy to cause osteoporosis of patients. Characterization of adaptation symptom information of calcium agent: calcium agents are used for the treatment of osteoporosis. The information detection means matches the second supplemental data of the glucocorticoid with the first supplemental data of the calcilytic agent to obtain information that the second supplemental data of the glucocorticoid matches the first supplemental data of the calcilytic agent. And finally, the information detection device can acquire the corresponding use information of the glucocorticoid and the calcilytic agent in the prescription file.

And S18, if the usage information is matched with the disease information and the patient information, determining that the information is detected.

In the embodiment of the invention, the information detection device matches usage information of medicine information, repeated medicine information of medicine information, interaction information of medicine information and compatibility tabu information of medicine information, warning information of medicine information, super-daily usage examination information of medicine information and medical insurance regulation information of medicine information with disease information and patient information one by one, so as to determine an information detection result. If the usage information acquired by the information detection device is matched with the disease information and the patient information, the information detection device determines that the information of the prescription file passes the detection.

In some embodiments, referring to fig. 14, fig. 14 is a schematic flow chart of an alternative information detection method provided in the embodiment of the present invention, and S18 shown in fig. 12 may also be implemented by S19, and the description will be made with reference to the steps.

S19, if the usage information does not match the condition information and the patient information, it is determined that the information detection is not passed.

In the embodiment of the invention, the information detection device matches usage information of medicine information, repeated medicine information of medicine information, interaction information of medicine information and compatibility tabu information of medicine information, warning information of medicine information, super-daily usage examination information of medicine information and medical insurance regulation information of medicine information with disease information and patient information one by one, so as to determine an information detection result. If any one of the above-mentioned use information acquired by the information detection device does not match the condition information and the patient information, the information detection device determines that the information detection of the prescription file is failed.

In some embodiments, referring to fig. 15, fig. 15 is a schematic structural diagram of an information detection device provided in an embodiment of the present invention, and the embodiment of the present invention further provides an information detection device 800, including: a file acquisition unit 803, an information extraction unit 804, a first processing unit 805, a second processing unit 806, and a detection unit 807.

A file acquisition unit 803 for acquiring a file in which patient information, disorder information, and medicine information are acquired;

an information extraction unit 804, configured to obtain instruction indication corresponding to the drug information;

the first processing unit 805 is configured to perform path searching on the corresponding disorder information and the drug information in a preset mapping relationship if the instruction indication does not match the disorder information, so as to obtain the supplementary data of the drug information and the supplementary data of the disorder information;

A second processing unit 806, configured to acquire usage information of the drug information if the supplemental data of the condition information matches the supplemental data of the drug information;

A detection unit 807 for determining an information detection result by detecting whether the usage information matches the condition information and the patient information.

In the embodiment of the present invention, the first processing unit 805 of the information detection device 800 is configured to obtain the usage information if the instruction manual indicates that the medical condition information is matched.

In the embodiment of the present invention, the first processing unit 805 of the information detection device 800 is configured to obtain basic disease data and basic drug data; performing normalized conversion treatment on the disease basic data and the medicine basic data to obtain a disease knowledge graph corresponding to the disease basic data and a medicine knowledge graph corresponding to the medicine basic data; and constructing a first mapping relation between the disease information and the corresponding disease knowledge graph, and constructing a second mapping relation between the medicine information and the corresponding medicine knowledge graph.

The disease knowledge graph comprises the following steps: the medicine knowledge graph comprises the following supplementary data corresponding to the disease information: supplementary data of the drug information.

In the embodiment of the present invention, the first processing unit 805 of the information detection device 800 is configured to obtain basic data of a drug in a western medicine specification and a Chinese medicine specification; in western medicine disease data, condition basis data are obtained.

In the embodiment of the present invention, the first processing unit 805 of the information detection device 800 is configured to unify units of the disease basic data, remove noise data of the disease basic data, and perform data mining and structuring processing to obtain a disease knowledge graph; unifying units of the basic data of the medicine, removing noise data of the basic data of the medicine, and performing data mining and structuring to obtain a medicine knowledge graph.

Ambiguous data and duplicate data in the condition basis data; noise data of the medicine base data includes: ambiguous data and duplicate data in the drug base data.

In the embodiment of the present invention, the first processing unit 805 of the information detection device 800 is configured to search for the supplementary data for obtaining the drug information in the second mapping relationship and search for the supplementary data for obtaining the disorder information in the first mapping relationship if the instruction is not matched with the disorder information; the preset mapping relation comprises the following steps: a first mapping relationship and a second mapping relationship.

In the embodiment of the present invention, the first processing unit 805 of the information detection device 800 is configured to, if the instruction indication does not match with the disease information, search for and obtain first supplementary data of the first drug information and second supplementary data of the second drug information in the second mapping relationship, and search for and obtain supplementary data of the disease information in the first mapping relationship; wherein the drug information includes first drug information and second drug information; the preset mapping relation comprises the following steps: a first mapping relationship and a second mapping relationship.

The first supplemental data includes at least one of: drug component information of the first drug information, action organ information of the first drug information, adaptive symptom information of the first drug information, super-specification use cycle evaluation information of the first drug information, notice information of the first drug information, and drug number information of the first drug information; the second supplemental data includes: adverse reaction information of the second drug information.

In an embodiment of the present invention, the second processing unit 806 of the information detection apparatus 800 is configured to detect whether the first supplementary data and the second supplementary data are matched if the first supplementary data and the supplementary data of the disease information are not matched.

If the first supplementary data are matched with the second supplementary data, acquiring the use information of the medicine information; the first supplemental data matches the second supplemental data with the adapted symptom information characterizing the first drug information matching the adverse reaction information of the second drug information. In the embodiment of the present invention, the detection unit 807 of the information detection apparatus 800 is configured to determine that the information is detected if the usage information matches the condition information and the patient information. If the usage information does not match the condition information and the patient information, determining that the information detection fails.

The usage information includes: usage information of medicine information, repeated medicine information of medicine information, interaction information of medicine information, incompatibility information of medicine information, warning information of medicine information, super-daily-use inspection information of medicine information and medical insurance regulation information of medicine information.

In the embodiment of the invention, the patient information, the disease information and the medicine information are acquired in the prescription file through the file acquisition unit; the first processing unit is used for searching paths of the corresponding disease information and the drug information in a preset mapping relation if the instruction indication of the drug information is not matched with the disease information, so that the supplementary data of the drug information and the supplementary data of the disease information are obtained; the second processing unit is used for acquiring the use information of the medicine information if the supplementary data of the disease information is matched with the supplementary data of the medicine information; the detection unit detects whether the usage information is matched with the disease information and the patient information, and an information detection result is determined, and because the supplementary data of the medicine information and the supplementary data of the disease information are in a preset database, the supplementary data of the acquired medicine information and the supplementary data not included in other medicine specifications of the disease information are mined, so that the matching degree of the medicine information and the disease information in the prescription can be comprehensively checked by matching the supplementary data of the disease information and the supplementary data of the medicine information, and the error of prescription checking is reduced.

It should be noted that, in the embodiment of the present invention, if the above-mentioned information detection method is implemented in the form of a software functional module, and sold or used as a separate product, the information detection method may also be stored in a computer readable storage medium. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied essentially or in a part contributing to the related art in the form of a software product stored in a storage medium, including several instructions for causing an information detection device (which may be a personal computer or the like) to perform all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.

Correspondingly, an embodiment of the invention provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned method.

Correspondingly, the embodiment of the invention provides an information detection device, which comprises a memory 802 and a processor 801, wherein the memory 802 stores a computer program capable of running on the processor 801, and the processor 801 realizes the steps in the method when executing the program.

It should be noted here that: the description of the storage medium and apparatus embodiments above is similar to that of the method embodiments described above, with similar benefits as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus of the present invention, please refer to the description of the method embodiments of the present invention.

It should be noted that fig. 16 is a schematic diagram of a hardware entity of an information detection device according to an embodiment of the present disclosure, and as shown in fig. 16, the hardware entity of the information detection device 800 includes: a processor 801 and a memory 802, wherein;

the processor 801 generally controls the overall operation of the information detection apparatus 800.

The memory 802 is configured to store instructions and applications executable by the processor 801, and may also cache data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or processed by each module in the processor 801 and the information detection apparatus 800, which may be implemented by a FLASH memory (FLASH) or a random access memory (Random Access Memory, RAM).

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.

Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied essentially or in a part contributing to the related art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.

The foregoing is merely an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present invention, and the changes and substitutions are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An information detection method, comprising:

Acquiring instruction indications corresponding to the medicine information;

If the instruction indication is not matched with the disease information, carrying out path searching on a plurality of knowledge maps constructed on the basis of a knowledge layer corresponding to the disease information and the medicine information in a preset mapping relation, and further acquiring the supplementary data of the medicine information and the supplementary data of the disease information; the preset mapping relation comprises the following steps: a first mapping relation between the disease information and the corresponding disease knowledge graph and a second mapping relation between the medicine information and the corresponding medicine knowledge graph; the supplemental data of the medication information includes at least one of: drug component information of drug information, action organ information of drug information, adaptation symptom information of drug information, super-specification use cycle evaluation information of drug information, notice information of drug information, and drug number information of drug information;

if the supplementary data of the disease information is matched with the supplementary data of the medicine information, acquiring the use information of the medicine information; the usage information characterizes medication limitation information of the medicine information; the supplemental data of the condition information matches the supplemental data of the drug information to characterize the supplemental data of the drug information for treatment or action on a corresponding focal site or symptom of the condition information;

2. The information detection method according to claim 1, wherein after the instruction indication corresponding to the drug information is acquired, the method further comprises, before determining an information detection result by detecting whether the usage information matches the condition information and the patient information:

3. The information detection method according to claim 1, wherein the acquiring a prescription file, before acquiring patient information, disorder information, and medicine information in the prescription file, further comprises:

4. The information detection method according to claim 3, wherein the condition knowledge graph comprises: the supplementary data corresponding to the disease information, and the medicine knowledge graph comprises: supplementary data of the drug information.

5. The information detection method according to claim 3, wherein the acquiring of the condition base data and the medicine base data includes:

in Western medicine disease data, the disease basic data are obtained.

6. The information detection method according to claim 3, wherein the performing normalized conversion processing on the condition base data and the medicine base data to obtain a condition knowledge graph corresponding to the condition base data and a medicine knowledge graph corresponding to the medicine base data includes:

7. The information detection method according to claim 6, wherein the noise data of the condition basis data includes: ambiguous data and duplicate data in the condition basis data; noise data of the drug base data includes: ambiguous data and duplicate data in the drug base data.

8. The information detection method according to claim 3, wherein if the instruction indication does not match the disorder information, performing path search in a preset mapping relationship between the disorder information and a plurality of knowledge maps constructed by the medicine based on a knowledge layer, so as to obtain supplementary data of the medicine information and supplementary data of the disorder information, including:

9. The information detection method according to claim 3, wherein the medicine information includes first medicine information and second medicine information; the preset mapping relation comprises the following steps: a first mapping relationship and the second mapping relationship;

if the instruction indication does not match the disorder information, performing path searching on a plurality of knowledge maps constructed by the disorder information and the medicine information based on a knowledge layer in a preset mapping relation, so as to obtain supplementary data of the medicine information and supplementary data of the disorder information, including:

10. The information detection method according to claim 9, wherein the acquiring usage information of the medicine information if the supplementary data of the condition information matches the supplementary data of the medicine information includes:

11. The information detection method according to any one of claims 8 to 10, wherein the determining an information detection result by detecting whether the usage information matches the condition information and the patient information includes:

12. The information detection method according to claim 11, wherein the usage information includes: the medicine information comprises usage amount information of the medicine information, repeated medicine information of the medicine information, interaction information of the medicine information, incompatibility information of the medicine information, warning information of the medicine information, super-multiple daily amount examination information of the medicine information and medical insurance regulation information of the medicine information.

13. An information detection apparatus, comprising:

The first processing unit is used for searching paths in a preset mapping relation according to a plurality of knowledge maps constructed by the knowledge layers corresponding to the disease information and the medicine information if the instruction indication is not matched with the disease information, so as to acquire the supplementary data of the medicine information and the supplementary data of the disease information; the preset mapping relation comprises the following steps: a first mapping relation between the disease information and the corresponding disease knowledge graph and a second mapping relation between the medicine information and the corresponding medicine knowledge graph; the supplemental data of the medication information includes at least one of: drug component information of drug information, action organ information of drug information, adaptation symptom information of drug information, super-specification use cycle evaluation information of drug information, notice information of drug information, and drug number information of drug information;

A second processing unit, configured to acquire usage information of the drug information if the supplementary data of the disorder information matches with the supplementary data of the drug information; the usage information characterizes medication limitation information of the medicine information; the supplemental data of the condition information matches the supplemental data of the drug information to characterize the supplemental data of the drug information for treatment or action on a corresponding focal site or symptom of the condition information;

14. An information detection device comprising a memory and a processor, the memory storing a computer program executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 7 when the program is executed.

15. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.