CN111265189A - Medical monitoring early warning method and system - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 35
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- 230000004962 physiological condition Effects 0.000 abstract description 9
- 238000010586 diagram Methods 0.000 description 5
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- 230000036760 body temperature Effects 0.000 description 3
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- 230000036387 respiratory rate Effects 0.000 description 1
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
The invention relates to the field of medical treatment, and particularly discloses a medical monitoring and early warning method and system. The method comprises the following steps: acquiring a parameter score value corresponding to a measured value of a target physiological parameter; determining a total score value according to each parameter score value and the corresponding weight coefficient; and when the total score value is not less than a preset score value threshold, selecting at least one target medical intervention plan from the plurality of medical intervention plans according to the total score value, and starting the target medical intervention plan. Under the method, the abnormal physiological condition of the patient can be found in time, and timely and effective medical intervention measures are provided for the patient.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a medical monitoring and early warning method and system.
Background
With the rise of the concept of the Internet of Things (Internet of Things), a large number of new technologies, new products, new applications and new modes are continuously emerging, the information technology is promoted to be changed from mobile interconnection to universal interconnection, the whole-society intelligent change caused by the Internet of Things and artificial intelligence is combined, security protection is achieved, city management is achieved, smart families are achieved, smart medical care is achieved, accurate medical care is achieved, and the like, and the digital transformation and upgrading of various industries are promoted.
In the medical field, the medical internet of things comprises a body feeling network, wherein the body feeling network captures and transmits human body physiological parameter indexes (such as human body blood pressure, pulse, blood sugar, electrocardio, body temperature, respiration and the like) through a medical sensor and mobile communication equipment, monitors the physiological parameters and uploads the parameters to a server for medical staff or relatives and friends to look up, and therefore diseases are effectively monitored and prevented. At present, under the existing medical system in China, the problem of medical difficulty is frequently caused by the shortage and serious uneven distribution of medical resources. A doctor often needs to face a large number of patients and cannot timely take care of the physiological change condition of each patient, so that more timely and effective medical intervention measures cannot be taken for the patients. Therefore, how to timely find the abnormal physiological condition of the patient and provide timely and effective intervention measures becomes a problem which needs to be solved urgently at present.
Disclosure of Invention
The invention provides a medical monitoring and early warning method and system, aiming at solving the technical problems that the abnormal physiological condition of a patient cannot be found in time and timely and effective intervention measures cannot be provided in the related technology.
The first aspect of the embodiment of the invention discloses a medical monitoring and early warning method, which comprises the following steps:
acquiring a parameter score value corresponding to a measured value of a target physiological parameter;
determining a total score value according to each parameter score value and the corresponding weight coefficient;
and when the total score value is not less than a preset score value threshold, selecting at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value, and starting the target medical intervention plan.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining a parameter score value corresponding to a measured value of a target physiological parameter includes:
determining a target physiological parameter from a plurality of physiological parameters to be measured;
and acquiring the measured values of the target physiological parameters, and calculating the parameter scoring value corresponding to the measured value of each target physiological parameter.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the calculating a parameter score value corresponding to each measured value of the target physiological parameter includes:
setting corresponding upper and lower boundary values for each target physiological parameter;
and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured values.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining a total score value according to each of the parameter score values and its corresponding weight coefficient includes:
multiplying each parameter score value by a corresponding weight coefficient to obtain a product result;
and accumulating each multiplication result to obtain a total score value.
The second aspect of the embodiment of the invention discloses a medical monitoring and early warning system, which comprises:
the acquisition unit is used for acquiring a parameter score value corresponding to a measured value of the target physiological parameter;
the determining unit is used for determining a total score value according to each parameter score value and the corresponding weight coefficient;
the judging unit is used for judging whether the total score value is not less than a preset score value threshold value or not;
the selecting unit is used for selecting at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value when the total score value is not less than a preset score value threshold;
and the starting unit is used for starting the target medical intervention plan.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the obtaining unit includes:
the determining subunit is used for determining a target physiological parameter from a plurality of physiological parameters to be measured;
an acquisition subunit, configured to acquire a measured value of the target physiological parameter;
and the calculating subunit is used for calculating the parameter scoring value corresponding to the measured value of each target physiological parameter.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the manner of calculating the parameter score value corresponding to each measured value of the target physiological parameter by the computing subunit is specifically:
setting corresponding upper and lower boundary values for each target physiological parameter;
and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured values.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the determining unit includes:
the multiplication subunit is used for multiplying each parameter scoring value by the corresponding weight coefficient to obtain a multiplication result;
and the accumulation subunit is used for accumulating each product result to obtain a total credit value.
A third aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the medical monitoring and early warning method disclosed in the first aspect of the embodiments of the present invention.
A fourth aspect of the embodiments of the present invention discloses an electronic device, including:
a processor;
a memory having computer readable instructions stored thereon which, when executed by the processor, implement the method as previously described.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
the medical monitoring and early warning method provided by the invention comprises the following steps of obtaining a parameter score value corresponding to a measured value of a target physiological parameter; determining a total score value according to each parameter score value and the corresponding weight coefficient; and when the total score value is not less than a preset score value threshold, selecting at least one target medical intervention plan from the plurality of medical intervention plans according to the total score value, and starting the target medical intervention plan.
Under the method, the physiological condition of the patient can be judged in real time according to the total score of the target physiological parameters, and a corresponding medical intervention plan is taken when the physiological condition of the patient is judged to be abnormal, so that the problems that the abnormal physiological condition of the patient cannot be found in time and timely and effective intervention measures cannot be provided in the prior art are solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a method of medical monitoring and forewarning according to an exemplary embodiment;
FIG. 2 is a flow diagram illustrating another method of medical monitoring and forewarning according to an exemplary embodiment;
FIG. 3 is a block diagram illustrating a medical monitoring and forewarning system according to an exemplary embodiment;
fig. 4 is a block diagram illustrating another medical monitoring and forewarning system according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Fig. 1 is a flow chart illustrating a method of medical monitoring and forewarning according to an exemplary embodiment. As shown in fig. 1, the method includes the following steps.
In the embodiment of the invention, the medical monitoring and early warning system can acquire the target physiological parameters by monitoring the respiration, blood pressure, pulse, consciousness, body temperature, urine volume and the like of a user patient in real time; the target physiological parameters may include, but are not limited to, heart rate, systolic blood pressure, respiratory rate, body temperature, consciousness, and the like.
In the embodiment of the invention, each target physiological parameter can be preset with a parameter scoring value corresponding to at least one measured value range according to the existing research on the physiological parameter or the expert experience and the numerical range in which the parameter is usually located. For example, the target physiological parameter may be a heart rate, and the parameter scores corresponding to the measured values at (0-40) times/minute are preset to be 2, (41-50) times/minute correspond to parameter scores of 1, (51-100) times/minute correspond to parameter scores of 0, (101-110) times/minute correspond to parameter scores of 1, and (111-130) times/minute correspond to parameter scores of 2.
In the embodiment of the present invention, each target physiological parameter may correspond to a preset weight coefficient, and a parameter score value corresponding to a measurement value of each target physiological parameter may also correspond to the weight coefficient.
As an optional implementation manner, the determining, by the medical monitoring and early warning system, the total score value according to each parameter score value and the corresponding weight coefficient thereof may include:
multiplying each parameter score value and the corresponding weight coefficient to obtain a product result;
and accumulating the product results to obtain a total score value.
In the embodiment of the present invention, particularly, if the weighting coefficient corresponding to each target physiological parameter is 1, the summation of the multiplication results may be regarded as the sum of the parameter score values corresponding to the measured values of the target physiological parameters.
And 103, when the total score value is not less than the preset score value threshold, the medical monitoring and early warning system selects at least one target medical intervention plan from the plurality of medical intervention plans according to the total score value, and starts the target medical intervention plan.
In the embodiment of the invention, each medical intervention plan can be bound with a score range in advance, and at least one target medical intervention plan can be selected from a plurality of medical intervention plans according to the score range of the total score value. For example, the score range corresponding to the medical intervention plan a is (0-2), the main content is that the patient does not need to be hospitalized, a doctor or an ICU staff is reminded to evaluate the illness state of the patient, and a medical treatment scheme is adjusted; the score range corresponding to the medical intervention plan B is (2-4), the main content is that hospitalization is not needed, and the physiological parameter data of the user are provided for the doctor, so that the doctor can identify the severity of the disease of the patient according to the physiological parameter data of the user; the value range corresponding to the medical intervention plan C is (4-8), the risk of change of the state of an illness of a patient with a higher value is increased, the patient has a potential critical risk, the risk of living in a specialized ward and even an ICU is increased, the main content of the plan is to shorten the interval frequency of sending patient physiological parameter data to a hospital, and reserve the specialized ward to the hospital; the medical intervention plan D corresponds to a score range of 9 to more than 9, the death risk of the patient is obviously increased, the patient needs to stay in an ICU ward to receive treatment, the main content of the plan is to send the physiological parameter data of the patient to a hospital, and a doctor is reserved for performing surgical treatment. When the total score value is 4, the medical intervention protocol B may be selected.
Therefore, by implementing the medical monitoring and early warning method described in fig. 1, the physiological condition of the patient can be judged in real time according to the total score of the target physiological parameters, and a corresponding medical intervention plan is taken when the physiological condition of the patient is judged to be abnormal, so that the problems that the abnormal physiological condition of the patient cannot be found in time and timely and effective intervention measures cannot be provided in the prior art are solved.
Referring to fig. 2, fig. 2 is a schematic flow chart of another medical monitoring and early warning method disclosed in the embodiment of the present invention. As shown in fig. 2, the medical monitoring and early warning method may include the following steps:
As an optional implementation manner, the calculating, by the medical monitoring and early warning system, a parameter score value corresponding to the measured value of each target physiological parameter may specifically include:
setting corresponding upper and lower boundary values for each target physiological parameter;
and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured value of the target physiological parameter.
In the embodiment of the present invention, the upper and lower boundary values of the physiological parameter may be set according to the existing research on the index of the physiological parameter or the expert experience, and according to the value range in which the parameter is usually located, which is not limited in the embodiment of the present invention.
In the embodiment of the present invention, the medical monitoring and early warning method may further include steps 203 to 204, and for the description of the steps 203 to 204, please refer to the detailed description of steps 102 to 103 in the first embodiment, which is not described again in the embodiment of the present invention.
It can be seen that, by implementing the medical monitoring and early warning method described in fig. 2, the physiological status of the patient can be immediately judged according to the total score of the target physiological parameters, and a corresponding medical intervention plan is taken when the physiological status of the patient is judged to be abnormal, so that the problems that the abnormal physiological status of the patient cannot be found in time and timely and effective intervention measures cannot be provided in the prior art are solved.
Fig. 3 is a block diagram illustrating a medical monitoring and forewarning system according to an exemplary embodiment. As shown in fig. 3, the system includes:
the obtaining unit 301 is configured to obtain a parameter score value corresponding to the measured value of the target physiological parameter, and provide the parameter score value to the determining unit 302.
The determining unit 302 is configured to determine a total score value according to each parameter score value and the corresponding weight coefficient, and provide the total score value to the determining unit 303.
The determining unit 303 is configured to determine whether the total score value is not less than a preset score value threshold.
A selecting unit 304, configured to, when the determining unit 303 determines that the total score value is not less than a preset score value threshold, select at least one target medical intervention plan from the plurality of medical intervention plans according to the total score value, and trigger the starting unit 305 to start.
An initiating unit 305 for initiating a target medical intervention protocol.
It can be seen that, by implementing the system described in fig. 3, the physiological status of the patient can be determined in real time according to the total score of the target physiological parameters, and a corresponding medical intervention plan is taken when the physiological status of the patient is determined to be abnormal, thereby solving the problems that the abnormal physiological status of the patient cannot be found in time and timely and effective intervention measures cannot be provided in the prior art.
Referring to fig. 4, fig. 4 is a block diagram of another medical monitoring and early warning system according to an exemplary embodiment, wherein the system shown in fig. 4 is further optimized from the system shown in fig. 3. Compared with the medical monitoring and early warning system shown in fig. 3, in the medical monitoring and early warning system shown in fig. 4, the acquiring unit 301 may include:
the determining subunit 3011 is configured to determine a target physiological parameter from a plurality of physiological parameters to be measured, and provide the target physiological parameter to the obtaining subunit 3012.
An acquisition subunit 3012, configured to acquire a measured value of the target physiological parameter and provide it to the calculation subunit 3013.
And the calculating subunit 3013 is configured to calculate a parameter score value corresponding to the measured value of each target physiological parameter.
As an optional implementation manner, the specific way for the calculating subunit 3013 to calculate the parameter score value corresponding to the measured value of each target physiological parameter may be:
setting corresponding upper and lower boundary values for each target physiological parameter; and calculating the parameter grading value corresponding to each measured value by using the fuzzy membership function according to the upper and lower boundary values and the measured values.
As an alternative implementation, the determining unit 302 may include:
the multiplication subunit 3021 is configured to multiply each parameter credit value and its corresponding weight coefficient to obtain a multiplication result, and provide the multiplication result to the accumulation subunit 3022.
And an accumulation subunit 3022, configured to accumulate each multiplication result to obtain a total credit value.
It can be seen that, by implementing the system described in fig. 4, the physiological status of the patient can be determined in real time according to the total score of the target physiological parameters, and a corresponding medical intervention plan is taken when the physiological status of the patient is determined to be abnormal, thereby solving the problems that the abnormal physiological status of the patient cannot be found in time and timely and effective intervention measures cannot be provided in the prior art.
The present invention also provides an electronic device, including:
a processor;
a memory having computer readable instructions stored thereon which, when executed by the processor, implement the medical monitoring and pre-warning method as set forth above.
In an exemplary embodiment, the present invention further provides a computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the medical care early warning method as set forth above.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (8)
1. A medical monitoring and early warning method is characterized by comprising the following steps:
acquiring a parameter score value corresponding to a measured value of a target physiological parameter;
determining a total score value according to each parameter score value and the corresponding weight coefficient;
and when the total score value is not less than a preset score value threshold, selecting at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value, and starting the target medical intervention plan.
2. The method of claim 1, wherein obtaining the parameter score value corresponding to the measured value of the target physiological parameter comprises:
determining a target physiological parameter from a plurality of physiological parameters to be measured;
and acquiring the measured values of the target physiological parameters, and calculating the parameter scoring value corresponding to the measured value of each target physiological parameter.
3. The method of claim 2, wherein calculating the parameter score value for each measured value of the target physiological parameter comprises:
setting corresponding upper and lower boundary values for each target physiological parameter;
and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured values.
4. The method of claim 1, wherein determining a total score value based on each of the parameter score values and its corresponding weighting factor comprises:
multiplying each parameter score value by a corresponding weight coefficient to obtain a product result;
and accumulating each multiplication result to obtain a total score value.
5. A medical monitoring and early warning system, comprising:
the acquisition unit is used for acquiring a parameter score value corresponding to a measured value of the target physiological parameter;
the determining unit is used for determining a total score value according to each parameter score value and the corresponding weight coefficient;
the judging unit is used for judging whether the total score value is not less than a preset score value threshold value or not;
the selecting unit is used for selecting at least one target medical intervention plan from a plurality of medical intervention plans according to the total score value when the total score value is not less than a preset score value threshold;
and the starting unit is used for starting the target medical intervention plan.
6. The system of claim 5, wherein the obtaining unit comprises:
the determining subunit is used for determining a target physiological parameter from a plurality of physiological parameters to be measured;
an acquisition subunit, configured to acquire a measured value of the target physiological parameter;
and the calculating subunit is used for calculating the parameter scoring value corresponding to the measured value of each target physiological parameter.
7. The system according to claim 6, wherein the computing subunit calculates the parameter score value corresponding to the measured value of each of the target physiological parameters by:
setting corresponding upper and lower boundary values for each target physiological parameter;
and calculating the parameter grading value corresponding to each measured value by using a fuzzy membership function according to the upper and lower boundary values and the measured values.
8. The system of claim 5, wherein the determining unit comprises:
the multiplication subunit is used for multiplying each parameter scoring value by the corresponding weight coefficient to obtain a multiplication result;
and the accumulation subunit is used for accumulating each product result to obtain a total credit value.
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| CN202010073518.3A CN111265189A (en) | 2020-01-22 | 2020-01-22 | Medical monitoring early warning method and system |
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| CN113066589A (en) * | 2021-03-24 | 2021-07-02 | 联仁健康医疗大数据科技股份有限公司 | Collected data analysis method and device, electronic equipment and storage medium |
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| CN111685742A (en) * | 2020-06-16 | 2020-09-22 | 德阳市人民医院 | Evaluation system and method for treating stroke |
| CN113066589A (en) * | 2021-03-24 | 2021-07-02 | 联仁健康医疗大数据科技股份有限公司 | Collected data analysis method and device, electronic equipment and storage medium |
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