CN111539866B - Emergency rescue remote medical support service system - Google Patents
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Abstract
The invention discloses an emergency rescue remote medical support service system, which comprises a field information acquisition terminal, a server and a guiding terminal, wherein the server comprises a doctor matching unit and a medical resource statistics unit; the doctor matching unit matches the pain information acquired by the on-site information acquisition terminal with an idle doctor for treating the corresponding symptoms according to doctor data; the doctor data comprises a doctor watch and a doctor's main treatment disease; the medical resource statistics unit is used for counting all medical resources in the disaster area, and the gaps of various resources are counted according to the medical materials required by the wounded in treatment and input by the required medical resource input unit and are sent to the rescue center. According to the invention, the real-time projection of the conditions of the patients in the disaster area is realized through the VR technology, doctor resources outside the disaster area are fully utilized, and the consumption of materials can be counted in real time, so that the shortage resources are sent to a rescue center, and the targeted rapid supplement of the shortage medical resources is realized.
Description
Technical field:
the invention relates to a service system, in particular to a remote medical support service system for emergency rescue.
The background technology is as follows:
when disasters such as earthquake flood occur, thousands of wounded persons are likely to occur, so that medical staff in disaster areas are seriously insufficient, and rescue staff usually have a simple rescue foundation and cannot achieve professional rescue. In addition, medical resources in disaster areas cannot be counted in real time, and in the rescue process, the resources are not consumed in a large amount at any time, so that a lot of resources are in shortage, but the shortage cannot be counted in real time, and the resources cannot be accurately transported to a required position, namely, the medical resources cannot be counted and allocated effectively.
The invention comprises the following steps:
the invention aims to provide an emergency rescue remote medical support service system, which realizes real-time projection of conditions of patients in disaster areas through a VR technology, fully utilizes doctor resources outside the disaster areas, and can count consumption of materials in real time, so that the shortage resources are sent to a rescue center, and targeted rapid supplement of the shortage medical resources is realized.
In order to solve the problems, the technical scheme of the invention is as follows: .
The remote medical support service system for emergency rescue comprises a field information acquisition terminal 1, a server 2 and a guiding terminal 3, wherein the field information acquisition terminal 1 is connected with the guiding terminal 3 in a wired or wireless manner through the server 2; the field information acquisition terminal 1 comprises an image acquisition unit, a voice communication unit, a required medical resource input unit and a positioning unit; the guiding terminal 3 comprises an image receiving unit and a voice call unit;
the image acquisition unit is used for acquiring site conditions, and the voice communication unit is used for communicating the site information acquisition terminal 1 with the guidance terminal 3; the positioning unit is used for positioning wounded persons; the required medical resource input unit is used for inputting medical materials required by the wounded;
the server 2 comprises a doctor matching unit and a medical resource statistics unit; the doctor matching unit matches the pain information acquired by the on-site information acquisition terminal 1 with an idle doctor for treating the corresponding symptoms according to doctor data; the doctor data comprises a doctor watch and a doctor's main treatment disease; the medical resource statistics unit is used for counting all medical resources in the disaster area, and counting gaps of various resources according to medical materials required by the wounded in treatment and input by the required medical resource input unit and sending the gaps to the rescue center;
the guiding terminal 3 is used for receiving the site situation and the voice of the site staff collected by the site information collecting terminal 1 and guiding the staff to conduct medical guidance on the site staff.
Further improved, the guiding terminal 3 is a VR helmet or VR glasses.
Further improved, the guiding terminal 3 further comprises a do not disturb unit, wherein the do not disturb unit is used for setting a do not disturb mode when a doctor is busy, and the doctor matching unit does not match the doctor starting the do not disturb mode; the guidance terminal 3 performs medical guidance on the site staff through the voice call unit.
Further improved, the server 2 further comprises a statistics unit, wherein the statistics unit is used for counting the times and effects of remote help seeking by doctors.
Further improved, the on-site information acquisition terminal 1 also comprises an emergency call unit, wherein the emergency call unit is used for calling an ambulance for endangered patients.
Further improvements include images of the patient's affected area, the environment and location of the patient; the medical supplies include medical instruments, medical consumables, and medicines.
Further improved, the doctor matching unit matches the doctor and the patient in the following manner:
determining doctor level according to doctor actual job title level i When doctor is mainly doctor, level i =1; when doctor is assistant and assistant, level i =2; when doctor is the dominant doctor, leveli=3;
the staff corresponding to the on-site information acquisition terminal (1) acquires patient information and determines the severity ISS of the patient based on the national wound severity scoring table to determine the severity degree servius of the patient injury i Servius when ISS.ltoreq.16 i =1; when 16 < ISS.ltoreq.25, servius i =1; when ISS > 25, servius i ＝3；
1) Firstly, obtaining all matching modes of doctors and patients, and calculating to obtain matching indexes mateSCore of doctor level and patient level in each matching mode;
wherein M is the number of remote consultants, and N is the current number of patients;
2) Calculating a distribution evaluation index gapcore of the workload of the medical resources in each matching mode:
numi represents the number of patients assigned by the ith physician;
3) The overall evaluation index score in each matching mode is calculated,
score＝mateScore*weight1+gapScore*weight2
the weights weight1 and weight2 are both weights; the doctor and patient matching mode with the smallest score is selected as the final matching scheme of the doctor and the patient.
Further improvements, weight 1=0.2 and weight 2=0.3.
Further improving, when new emergency patients exist, adding the number of the new patients and the number of patients which are not yet treated as the current patient number, and then carrying out the steps 1) to 3) to carry out matching again to obtain a final matching scheme for doctors and patients.
Further improvement, when there is a new emergency patient, the new emergency patient is allocated to a doctor; the doctor level grade of the doctor is equal to the severity of the newly added emergency patient; and selecting a blending scheme with the minimum overall evaluation index score when at most one patient in all patients matched by the doctor is blended to other doctors as a final matching scheme.
Description of the drawings:
fig. 1 is a schematic structural diagram of an emergency rescue remote medical support service system.
The specific embodiment is as follows:
in order to make the above objects, features and advantages of the present invention more comprehensible, technical solutions according to embodiments of the present invention are described in detail below with reference to accompanying drawings. Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
Example 1
The remote medical support service system for emergency rescue comprises a field information acquisition terminal 1, a server 2 and a guiding terminal 3, wherein the field information acquisition terminal 1 is connected with the guiding terminal 3 in a wired or wireless manner through the server 2; the field information acquisition terminal 1 comprises an image acquisition unit, a voice communication unit, a required medical resource input unit and a positioning unit; the guiding terminal 3 comprises an image receiving unit and a voice call unit;
the image acquisition unit is used for acquiring site conditions, and the voice communication unit is used for communicating the site information acquisition terminal 1 with the guidance terminal 3; the positioning unit is used for positioning wounded persons; the required medical resource input unit is used for inputting medical materials required by the wounded;
the server 2 comprises a doctor matching unit and a medical resource statistics unit; the disease classification doctor of the server 2 classifies and labels the patients at the site information acquisition terminal 1 according to the types and the severity of the patients; the doctor matching unit matches the pain information acquired by the on-site information acquisition terminal 1 with an idle doctor for treating the corresponding symptoms according to doctor data; the doctor data comprises a doctor watch and a doctor's main treatment disease; the medical resource statistics unit is used for counting all medical resources in the disaster area, and counting gaps of various resources according to medical materials required by the wounded in treatment and input by the required medical resource input unit and sending the gaps to the rescue center;
the guiding terminal 3 is used for receiving the site situation and the voice of the site staff collected by the site information collecting terminal 1 and guiding the staff to conduct medical guidance on the site staff.
The guiding terminal 3 is a VR helmet or VR glasses.
The guiding terminal 3 further comprises a do not disturb unit, wherein the do not disturb unit is used for setting a do not disturb mode when a doctor is busy, and the doctor matching unit does not match the doctor who starts the do not disturb mode; the guidance terminal 3 performs medical guidance on the site staff through the voice call unit.
The server 2 further comprises a statistics unit for counting the number and effect of remote help seeking by the doctor.
The on-site information acquisition terminal 1 also comprises an emergency call unit, wherein the emergency call unit is used for calling an ambulance for endangered patients.
The site conditions comprise images of affected parts of patients, environments and positions of the patients; the medical supplies include medical instruments, medical consumables, and medicines.
The application method of the invention is as follows:
when a disaster occurs, a rescuer starts an image acquisition unit to acquire images of a patient after encountering the wounded, judges the wounded part of the wounded, then matches the wounded part with a doctor for treating the corresponding disease through a doctor matching unit, judges the wounded state according to the projection of an image receiving unit, guides the rescuer to carry out first aid, inputs consumed or needed medical supplies by the rescuer in the first aid process, and a rescue center conveys medical resources needed by the rescuer to the position of the rescuer according to the positioning of a positioning unit; the medical resource statistics unit counts the medical resources in the whole disaster area inventory, updates the medical resources in the disaster area inventory in real time according to the resources required to be consumed, which are input by the medical resource input unit, and sends the short emergency resources to the rescue center for emergency allocation.
The doctor matching unit matches the doctor and the patient in the following manner:
determining doctor level according to doctor actual job title level i When doctor is mainly doctor, level i =1; when doctor is assistant and assistant, level i =2; when doctor is the dominant doctor, level i ＝3；
The staff corresponding to the on-site information acquisition terminal (1) acquires patient information and determines the severity ISS of the patient based on the national wound severity scoring table to determine the severity degree servius of the patient injury i Servius when ISS.ltoreq.16 i =1; when 16 < ISS.ltoreq.25, servius i =1; when ISS > 25, servius i =3; (wherein patient class calculation is based on the general principle of national ISS patient wound grading. Calculate ISS. This method divides the human body into 6 regions, ISS is the sum of squares of the highest AIS values of the 3 most severely damaged regions of the body, i.e.
ISS＝AIS1^2+AIS2^2+AIS3^2)
1) Firstly, obtaining all matching modes of doctors and patients, and calculating to obtain matching indexes mateSCore of doctor level and patient level in each matching mode;
wherein M is the number of remote consultants, and N is the current number of patients;
2) Calculating a distribution evaluation index gapcore of the workload of the medical resources in each matching mode:
numi represents the number of patients assigned by the ith physician;
3) The overall evaluation index score in each matching mode is calculated,
score＝mateScore*weight1+gapScore*weight2
the weights weight1 and weight2 are both weights; the doctor and patient matching mode with the smallest score is selected as the final matching scheme of the doctor and the patient.
weight 1=0.2 and weight 2=0.3.
Example 2
On the basis of example 1, when there is a new emergency patient, the new patient number is added to the patient number that has not yet been treated as the current patient number, and then steps 1) to 3) are performed again to obtain the final matching scheme for the doctor and the patient.
Example 3
On the basis of the embodiment 1, in order to avoid the occurrence of replacement of scheduled doctors by a large number of patients, the workload adjustment cost of the doctors is saved, and when newly added emergency patients (one by one or calculated according to time) are set, the newly added emergency patients are allocated to a doctor; the doctor level grade of the doctor is equal to the severity of the newly added emergency patient; and selecting a blending scheme with the minimum overall evaluation index score when at most one patient in all patients matched by the doctor is blended to other doctors as a final matching scheme.
Specifically, when a new emergency patient needs to modify the matching sequence of the original patient doctor, a new weight gain matching cost evaluation index is required according to the score calculation mode: reexectscore;
readjusting to a new optimal state, then adjusting
reScore＝mateScore*weight1+gapScore*weight2+reMateCostScore*weight3
Wherein reMateConstScare represents the physician workload adjustment costs; weight 3=0.5. Specific examples are as follows: total of 3 doctors
int [ ] vector 0= {1}; patient of class 1 doctor;
int [ ] vector 1= {2}; patient of class 2 doctor;
int [ ] vector 2= {2}; patient of class 3 doctor;
assuming there are currently exactly 3 patients, the ranks 1,2,3 are based on the formula: m=3, n=3, avg=1.0; (patient grade in brackets)
mateScore＝0.5773502691896257,gapScore＝0.0,
score＝0.11547005383792515
Total of 3 doctors
int [ ] vector 0= {1}; patient of class 1 doctor;
int [ ] vector 1= {2}; patient of class 2 doctor;
int [ ] vector 2= {2,3}; patient of class 3 doctor;
when a three-level patient is added, if the patient is placed in the patient 2 (doctor of level 3), then: m=3, n=4
avg＝1.3333333333333333
mateScore＝0.5,gapScore＝0.4714045207910317,
score1＝0.2414213562373095
Total of 3 doctors
int [ ] vector 0= {1}; patient of class 1 doctor;
int [ ] vector 1= {2,2}; patient of class 2 doctor;
int [ ] vector 2= {3}; patient of class 3 doctor;
if a doctor with a disease weight level of 2 among three-level doctors is transferred to a doctor management with a disease weight level of 2, m=3, n=4
avg＝1.3333333333333333
mateScore＝0.0,gapScore＝0.4714045207910317,
score2＝0.1414213562373095
From the above record, score2 is 0.1 smaller than score1, and if the patient's doctor is to be adjusted at this time, it is appropriate to transfer the grade 2 patient to factor 1. Meanwhile, reMateCostScore (doctor workload adjustment cost) may be set to 0.2;
total of 3 doctors
int [ ] vector 0= {1}; patient of class 1 doctor;
int [ ] vector 1= {2}; patient of class 2 doctor;
int [ ] vector 2= {2,3}; patient of class 3 doctor;
suppose again that when 2 patients (grade 2, 3) are entered simultaneously, the newly added patients are all placed in the vector 2:
M＝3,N＝5
avg＝1.6666666666666667
mateScore＝0.4472135954999579,gapScore＝0.9428090415820634,
score＝0.3722854315746106
total of 3 doctors
int [ ] vector 0= {1}; patient of class 1 doctor;
int [ ] vector 1= {2,2}; patient of class 2 doctor;
int [ ] vector 2= {3,3}; patient of class 3 doctor;
a patient with a grade 2 is placed in the patient 1, a patient with a grade 3 is returned to the patient 2, m=3,
N＝5
avg＝1.6666666666666667
mateScore＝0.0,gapScore＝0.4714045207910317,
score＝0.23570226039551584
from the above record, score2 is smaller than score1 by 0.1365, demonstrating that the second arrangement is better, while the reMateCostScore can be set to 0.26 if the patient's doctor is to be adjusted at this time
The above embodiment is only one specific implementation of the present invention, and is not intended to limit the present invention, and any simple modification and substitution thereof are within the scope of the present invention.
Claims (1)
1. The remote medical support service system for emergency rescue is characterized by comprising a field information acquisition terminal (1), a server (2) and a guiding terminal (3), wherein the field information acquisition terminal (1) is connected with the guiding terminal (3) in a wired or wireless manner through the server (2); the field information acquisition terminal (1) comprises an image acquisition unit, a voice communication unit, a required medical resource input unit and a positioning unit; the guiding terminal (3) comprises an image receiving unit and a voice call unit;
the image acquisition unit is used for acquiring field conditions, and the voice communication unit is used for communicating the field information acquisition terminal (1) with the guidance terminal (3); the positioning unit is used for positioning wounded persons; the required medical resource input unit is used for inputting medical materials required by the wounded;
the server (2) comprises a doctor matching unit and a medical resource statistics unit; the doctor matching unit matches the pain information acquired by the on-site information acquisition terminal (1) with an idle doctor for treating the corresponding symptoms according to doctor data; the doctor data comprises a doctor watch and a doctor's main treatment disease; the medical resource statistics unit is used for counting all medical resources in the disaster area, and counting gaps of various resources according to medical materials required by the wounded in treatment and input by the required medical resource input unit and sending the gaps to the rescue center;
the guiding terminal (3) is used for receiving the site situation and the voice of the site staff collected by the site information collecting terminal (1) and guiding the staff to conduct medical guidance on the site staff;
the guiding terminal (3) is a VR helmet or VR glasses; the guiding terminal (3) further comprises a do not disturb unit, wherein the do not disturb unit is used for setting a do not disturb mode when a doctor is busy, and the doctor matching unit does not match a doctor starting the do not disturb mode; the guiding terminal (3) carries out medical guidance on the on-site staff through the voice communication unit; the server (2) further comprises a statistics unit, wherein the statistics unit is used for counting the times and effects of remote help seeking by doctors; the on-site information acquisition terminal (1) further comprises an emergency call unit, wherein the emergency call unit is used for calling an ambulance for endangered patients;
the medical resource statistics unit counts the medical resources in the whole disaster area inventory, updates the medical resources in the disaster area inventory in real time according to the resources required to be consumed, which are input by the medical resource input unit, and sends the short emergency resources to the rescue center for emergency allocation; the site conditions include pain information of the patient, the environment in which the patient is located, and the location; the medical supplies comprise medical instruments, medical consumables and medicines; the doctor matching unit matches the doctor and the patient in the following manner:
determining a doctor level grade level according to the doctor actual job title grade, wherein when the doctor is an attending doctor, the level=1; when doctor is a secondary doctor, leveli=2; when doctor is the dominant doctor, leveli=3;
the staff corresponding to the site information acquisition terminal (1) acquires patient information and determines the severity ISS of the patient based on a national wound severity scoring table to determine the severity level serviusi of the patient injury, and when the ISS is less than or equal to 16, the serviusi=1; when 16 < iss.ltoreq.25, serviusi=2; when ISS > 25, serviusi=3;
1) Firstly, obtaining all matching modes of doctors and patients, and calculating to obtain matching indexes mateSCore of doctor level and patient level in each matching mode;
；
wherein N is the current patient number;
2) Calculating a distribution evaluation index gapcore of the workload of the medical resources in each matching mode:
；
numi represents the number of patients assigned by the ith physician; m is the number of remote consultation doctors;
3) The overall evaluation index score in each matching mode is calculated,
score＝mateScore*weight1+gapScore*weight2
the weights weight1 and weight2 are both weights; selecting the doctor and patient matching mode with the minimum score as the final matching scheme of the doctor and the patient;
weight 1=0.2 and weight 2=0.3; when a new emergency patient is added, adding the number of the new patient and the number of the patient which is not yet treated as the current patient number, and then carrying out the steps 1) to 3) to carry out matching again to obtain a final matching scheme for doctors and patients; when a new emergency patient exists, the new emergency patient is allocated to a doctor; the doctor level grade of the doctor is equal to the severity of the newly added emergency patient; and selecting a blending scheme with the minimum overall evaluation index score when at most one patient in all patients matched by the doctor is blended to other doctors as a final matching scheme.
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| CN106650257A (en) * | 2016-12-21 | 2017-05-10 | 深圳市易特科信息技术有限公司 | Spot diagnosis and treatment terminal for remote cure, remote diagnosis and treatment terminal for remote cure and cooperative diagnosis and treatment system |
| TWM582222U (en) * | 2019-03-20 | 2019-08-11 | 社團法人台灣緊急應變管理協會 | Medical resource supply system for disaster area |
| CN109961841A (en) * | 2019-03-28 | 2019-07-02 | 广州麦迪森在线医疗科技有限公司 | A kind of optimal doctor's matching system and method towards mobile diagnosis and treatment |
| CN111009316A (en) * | 2019-12-25 | 2020-04-14 | 福州大学 | Doctor-patient matching method based on Bayesian network |
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