CN114078592A - Emergency triage wisdom medical system - Google Patents
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- CN114078592A CN114078592A CN202111397455.8A CN202111397455A CN114078592A CN 114078592 A CN114078592 A CN 114078592A CN 202111397455 A CN202111397455 A CN 202111397455A CN 114078592 A CN114078592 A CN 114078592A
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- 238000003745 diagnosis Methods 0.000 claims abstract description 24
- 201000010099 disease Diseases 0.000 claims abstract description 18
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 18
- 238000013135 deep learning Methods 0.000 claims abstract description 11
- 230000006870 function Effects 0.000 claims abstract description 4
- 208000024891 symptom Diseases 0.000 claims description 14
- 238000011156 evaluation Methods 0.000 claims description 7
- 230000036772 blood pressure Effects 0.000 claims description 6
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 6
- 108010064719 Oxyhemoglobins Proteins 0.000 claims description 5
- 238000000034 method Methods 0.000 claims description 4
- 206010008479 Chest Pain Diseases 0.000 claims description 3
- 206010024264 Lethargy Diseases 0.000 claims description 3
- 208000002193 Pain Diseases 0.000 claims description 3
- 230000001154 acute effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 208000004209 confusion Diseases 0.000 claims description 3
- 206010013395 disorientation Diseases 0.000 claims description 3
- 206010042772 syncope Diseases 0.000 claims description 3
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims 1
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses an emergency triage intelligent medical system, and relates to the technical field of medical information; the medical diagnosis system comprises a software system and a hardware system, wherein the software system comprises a disease inquiry and inquiry operation system with a deep learning function, an emergency triage system, a remote nurse end and a system administrator end, the emergency triage system can give a triage situation description list by comparing patient data with indexes of an MEWS scoring system, the hardware system comprises a triage information acquisition device and a vital sign acquisition device, the triage information acquisition device comprises a voice module, a screen display module and a manual remote inquiry module, and the vital sign acquisition device is a portable human body vital sign measuring instrument; the disease inquiry technology system with deep learning capability is used, so that patients in dialects, age groups and education degrees in different regions can use the voice system conveniently, the misdiagnosis probability is reduced, the diagnosis speed and precision are accelerated, and the diagnosis experience of the patients is improved.
Description
Technical Field
The invention relates to the technical field of medical information, in particular to an emergency triage intelligent medical system.
Background
With the centralization of population cities, emergency patients in the third hospital sharply increase year by year, and the emergency crowding phenomenon is a normal state; investigation in Shanghai Renji Hospital showed that 90% of 1100 patients in emergency medical department per day were actually non-emergency; the emergency department is in a crowded or overcrowded state, and the problem of emergency treatment sequence or waiting severely restricts the development of the emergency medical department in China, and a new emergency treatment triage system is provided, but is limited by the laggard equipment and poor landing condition; through research, currently mainstream triage equipment is mainly used for realizing related functions such as self-service registration, medical procedure guidance, department position guidance and the like, and a self-service terminal system aiming at emergency call pre-examination triage is not available in the market; meanwhile, because patients in emergency treatment often have a large number of accents during conversation due to different regions, ages and education degrees, the diagnosis system on the market can only recognize the Putonghua at present, and once the patients with dialect can not correctly recognize the voice, the intelligent medical system for emergency treatment diagnosis is needed.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides an emergency triage intelligent medical system.
In order to achieve the purpose, the invention adopts the following technical scheme:
an emergency triage intelligent medical system comprises a software system and a hardware system, wherein the software system comprises a disease inquiry telephone system with a deep learning function.
Preferably: the software system further comprises an emergency triage system, a remote nurse end and a system administrator end, wherein the remote nurse end is communicated with the system administrator end.
Preferably: the emergency triage system comprises a data comparison unit, a sorting unit and a result issuing unit.
Preferably: the hardware system comprises triage information acquisition equipment and vital sign acquisition equipment.
Preferably: the triage information acquisition equipment comprises a voice module, a screen display module and a manual remote inquiry module.
Preferably: the vital sign acquisition equipment is a portable human vital sign measuring instrument, and main measurement parameters of the portable human vital sign measuring instrument are five indexes of consciousness, respiration, oxyhemoglobin saturation, heart rate and blood pressure of a patient.
The emergency triage intelligent medical system comprises the following working procedures:
s1: information acquisition: identity identification information and subjective self-evaluation of the patient are input through triage information acquisition equipment, and meanwhile, a remote nurse end can guide and evaluate the patient in a voice and screen click mode;
s2: collecting vital signs: five indexes of consciousness, respiration, oxyhemoglobin saturation, heart rate and blood pressure of a patient are rapidly measured through the portable human body vital sign measuring instrument; collecting objective body data;
s3, system platform: pre-diagnosing and sorting subjective self-evaluation and objective body data recorded in the steps S1 and S2 according to MEWS scoring standard, and then inquiring the crowd classification, symptom inquiry and basic medical history of the patient by a diagnosis information acquisition device; generating a triage case specification sheet of the patient;
s4, system administrator: the system administrator end carries out the communication recording of the patient triage case instruction list generated in the step S3, the identity information of the patient, the body data and the voice video, and carries out the discrimination, classification and recording;
s5, remote nurse end: the remote nurse end receives the patient triage case instruction sheet from the S4, sorts the treatment order of the patients according to the disease grades of the patients, and decides the area by one-key triage; providing guidance to the patient by means of voice and screen clicks at steps S1 and S2;
s6: and (3) triage results: s4, printing paper bills on the patient triage description sheet;
s7: disease interrogation system: the classified patient voice data is screened in the step of receiving S4, deep learning analysis is carried out on the voice data, and the disease inquiry telephone system is upgraded in real time and applied in the steps of S1 and S3.
Preferably: the logic work flow of the pre-diagnosis sorting system in the step S3 is as follows:
sa 1: judging whether the patient has life threatening conditions, if so, classifying the patient into red zone I type, and immediately visiting; if not, carrying out subsequent judgment;
sa 2: patient vital signs, chief complaint symptom assessment (MEWS), and assigning a visit time according to the MEWS scoring system into red zone class I or yellow zone class II;
sa 3: patients are at high risk, but do not need emergency rescue, whether there is a potentially dangerous situation or sudden change in consciousness (lethargy, disorientation, syncope) or severe pain; if the diagnosis is classified into yellow zone II for 10min, the next judgment is carried out if the diagnosis is not classified into yellow zone II;
sa 4: mems score 2-3 points or whether patients all have acute symptoms and triage problems; if yes, the doctor is divided into yellow zone III class for 30min to go out;
sa 5: the MEWS score is 0-1 or patients with mild symptoms are classified as green zone IV, and the doctor visits for 60-120 min.
Preferably: the vital sign acquisition equipment further comprises a chest pain module and a stroke module.
The invention has the beneficial effects that:
1. the disease inquiry phone system is made by professional linguistics researchers and front-line medical workers, is strong in phone orderliness, outstanding in pertinence, reasonable and easy to understand, has deep learning capacity, can recover and arrange voice data recorded in inquiry, uploads the voice data to the server for deep learning, circularly upgrades and optimizes the database, facilitates the use of the voice system by patients with dialects, age groups and education degrees in different regions, reduces misdiagnosis probability, accelerates diagnosis speed and precision, and improves diagnosis experience of the patients.
2. The invention has the advantages of the most advanced portable human body vital sign measuring instrument, high measuring precision, high speed, high efficiency and reliability, and can be directly butted with the index of the MEWS scoring system; in the aspect of software, the ports are complete, intelligence and labor are repeated, and the labor cost is obviously reduced.
3. The system has the advantages of effectively shunting patients, effectively identifying endangered and critical patients with unobvious symptoms, maximally compressing the waiting time of the endangered patients, enabling all levels of patients to be rapidly treated in a targeted manner at the first time, reducing the fatality rate and the disability rate, efficiently butting the patients and the consulting room, and reducing the possibility of occurrence of doctor-patient contradictions.
Drawings
FIG. 1 is a schematic view of a system flow of an emergency triage intelligent medical system according to the present invention;
fig. 2 is a logic diagram of an emergency triage system in the intelligent emergency triage medical system according to the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
In the description of this patent, it is noted that unless otherwise specifically stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can include, for example, fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meaning of the above terms in this patent may be understood by those of ordinary skill in the art as appropriate.
Example 1:
an emergency triage intelligent medical system comprises a hardware system and a software system, wherein the software system comprises an emergency triage system, a remote nurse end, a system administrator end and a disease inquiry operation system.
The disease inquiry telephone system is made by professional linguistics researchers and medical staff, is strong in telephone orderliness, outstanding in pertinence, reasonable and easy to understand, facilitates understanding of patients of different groups, has deep learning capacity, can recover and arrange voice data recorded in inquiry, uploads the voice data to a server for deep learning, circularly upgrades an optimized database, matches various language habits and language logics, and enables the patients of different types to use the emergency diagnosis triage system.
The remote nurse end is used by an on-duty nurse, can receive the triage result of the patient, remotely guides the patient to complete the triage of the emergency treatment, localizes the triage of the patient, and simultaneously carries out manual triage on the patient who can not independently complete the triage of the emergency treatment.
The emergency triage system comprises a data comparison unit, a sorting unit and a result issuing unit; the MEWS scoring system is a simple illness state and prognosis evaluation system, criticality of an illness state is graded, and the risk of a patient can be rapidly, concisely and scientifically predicted.
The hardware system comprises triage information acquisition equipment and vital sign acquisition equipment.
The triage information acquisition equipment comprises a voice module, a screen display module and a manual remote inquiry module, and helps to input the identity identification information and the subjective consciousness information of the patient in a way of dialog identification, touch screen selection and remote video assistance; the touch screen selection is mainly used for patients using modern digital products, for patients who are not skilled in operating the touch screen, a voice module is used for inquiring and inputting through a specially-developed disease inquiry telephone system, and for patients with serious disease conditions, a manual inquiry module is used for performing remote diagnosis through a camera; during the period, the remote nurse end can guide and evaluate and classify the patients in a voice and screen clicking mode; the triage efficiency and accuracy are improved.
The vital sign acquisition equipment is a portable human vital sign measuring instrument, has high measuring precision and high speed, and can measure 5 indexes of consciousness, respiration, oxyhemoglobin saturation, heart rate and blood pressure of a patient.
Example 2:
the emergency triage intelligent medical system comprises the following working procedures:
s1: information acquisition: identity identification information and subjective self-evaluation of the patient are input through triage information acquisition equipment, and meanwhile, a remote nurse end can guide and evaluate the patient in a voice and screen click mode;
s2: collecting vital signs: five indexes of consciousness, respiration, oxyhemoglobin saturation, heart rate and blood pressure of a patient are rapidly measured through the portable human body vital sign measuring instrument; collecting objective body data;
s3: a system platform: pre-diagnosing and sorting subjective self-evaluation and objective body data recorded in the steps S1 and S2 in a software system in a system platform according to MEWS scoring standard, automatically scoring the physical condition of the patient and grading the emergency diagnosis, and then inquiring the crowd classification, symptom inquiry and basic medical history of the patient through diagnosis information acquisition equipment; generating a triage case specification sheet of the patient;
s4: a system administrator side: the system administrator end carries out the communication recording of the patient triage case instruction list generated in the step S3, the identity information of the patient, the body data and the voice video, and carries out the discrimination, classification and recording; the subsequent operation of the system is convenient;
s5: remote nurse end: the remote nurse end receives the patient triage case instruction sheet from the S4, sorts the treatment orders of the patients according to the patient disease grades, and determines the area by one-key triage to ensure that each patient can receive the most timely rescue; simultaneously communicating and guiding the patient by voice and screen click at steps S1 and S2;
s6: and (3) triage results: s4, printing paper documents on the patient triage case description sheet, and handing the paper documents to hospital departments and patients for storage;
s7: disease interrogation system: and receiving the voice data of the patient screened and classified in the step S4, processing the voice data by professional software developers and an artificial intelligence system, performing deep learning analysis on the voice data, upgrading a disease inquiry telephone system in real time and applying the system to the steps S1 and S3, so that the accuracy of voice recognition is improved, the understanding of the patient is facilitated, the inquiry diagnosis efficiency is improved, and the patient has better diagnosis experience.
The logic work flow of the pre-diagnosis sorting system in the step S3 is as follows:
sa 1: judging whether the patient has life threatening conditions, if so, classifying the patient into red zone I type, and immediately visiting; if not, carrying out subsequent judgment;
sa 2: patient vital signs, chief complaint symptom assessment (MEWS), and assigning a visit time according to the MEWS scoring system into red zone class I or yellow zone class II;
sa 3: patients are at high risk, but do not need emergency rescue, whether there is a potentially dangerous situation or sudden change in consciousness (lethargy, disorientation, syncope) or severe pain; if the diagnosis is classified into yellow zone II for 10min, the next judgment is carried out if the diagnosis is not classified into yellow zone II;
sa 4: mems score 2-3 points or whether patients all have acute symptoms and triage problems; if yes, the doctor is divided into yellow zone III class for 30min to go out;
sa 5: the MEWS score is 0-1 or the patient with mild symptoms is classified into green region IV, and the patient is out of the clinic for 60-120 min;
the pre-diagnosis sorting system effectively shunts patients according to the steps, effectively identifies endangered and critical patients with unobvious symptoms, and maximally compresses the waiting time of the endangered patients, so that all levels of patients can be quickly treated in a targeted manner at the first time, the fatality rate and the disability rate are reduced, the patients and the consulting room are efficiently butted, and the possibility of occurrence of doctor-patient contradiction is reduced.
Example 3: besides the portable human body vital sign measuring instrument, the vital sign acquisition equipment can be additionally provided with other modules, such as a chest pain module and a stroke module, appoints a triage treatment program according to international standards, screens as soon as possible, and ensures that the fastest and active treatment is obtained.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. An emergency triage intelligent medical system is characterized by comprising a software system and a hardware system, wherein the software system comprises a disease inquiry telephone system with a deep learning function.
2. The intelligent medical system for emergency triage according to claim 1, wherein the software system further comprises an emergency triage system, a remote nurse end, and a system administrator end, the remote nurse end is connected to the system administrator end.
3. The intelligent medical system for emergency triage according to claim 2, wherein the system for emergency triage comprises a data comparing unit, a sorting unit and a result issuing unit.
4. The intelligent medical system for emergency triage according to claim 1, wherein the hardware system comprises a triage information acquisition device and a vital sign acquisition device.
5. The intelligent medical system for emergency triage according to claim 4, wherein the triage information collecting device comprises a voice module, a screen display module and a manual remote inquiry module.
6. The emergency triage intelligent medical system according to claim 4, wherein the vital sign collecting device is a portable human vital sign measuring instrument, and the main measurement parameters of the portable human vital sign measuring instrument are five indexes of consciousness, respiration, blood oxygen saturation, heart rate and blood pressure of the patient.
7. The intelligent medical system for emergency triage according to claim 6, comprising the following working procedures:
s1: information acquisition: identity identification information and subjective self-evaluation of the patient are input through triage information acquisition equipment, and meanwhile, a remote nurse end can guide and evaluate the patient in a voice and screen click mode;
s2: collecting vital signs: five indexes of consciousness, respiration, oxyhemoglobin saturation, heart rate and blood pressure of a patient are rapidly measured through the portable human body vital sign measuring instrument; collecting objective body data;
s3, system platform: pre-diagnosing and sorting subjective self-evaluation and objective body data recorded in the steps S1 and S2 according to MEWS scoring standard, and then inquiring the crowd classification, symptom inquiry and basic medical history of the patient by a diagnosis information acquisition device; generating a triage case specification sheet of the patient;
s4, system administrator: the system administrator end carries out the communication recording of the patient triage case instruction list generated in the step S3, the identity information of the patient, the body data and the voice video, and carries out the discrimination, classification and recording;
s5, remote nurse end: the remote nurse end receives the patient triage case instruction sheet from the S4, sorts the treatment order of the patients according to the disease grades of the patients, and decides the area by one-key triage; providing guidance to the patient by means of voice and screen clicks at steps S1 and S2;
s6: and (3) triage results: s4, printing paper bills on the patient triage description sheet;
s7: disease interrogation system: the classified patient voice data is screened in the step of receiving S4, deep learning analysis is carried out on the voice data, and the disease inquiry telephone system is upgraded in real time and applied in the steps of S1 and S3.
8. The intelligent medical system for emergency triage of claim 7, wherein the logic workflow of the pre-diagnosis sorting system of step S3 is as follows:
sa 1: judging whether the patient has life threatening conditions, if so, classifying the patient into red zone I type, and immediately visiting; if not, carrying out subsequent judgment;
sa 2: patient vital signs, chief complaint symptom assessment (MEWS), and assigning a visit time according to the MEWS scoring system into red zone class I or yellow zone class II;
sa 3: patients are at high risk, but do not need emergency rescue, whether there is a potentially dangerous situation or sudden change in consciousness (lethargy, disorientation, syncope) or severe pain; if the diagnosis is classified into yellow zone II for 10min, the next judgment is carried out if the diagnosis is not classified into yellow zone II;
sa 4: mems score 2-3 points or whether patients all have acute symptoms and triage problems; if yes, the doctor is divided into yellow zone III class for 30min to go out;
sa 5: the MEWS score is 0-1 or patients with mild symptoms are classified as green zone IV, and the doctor visits for 60-120 min.
9. The emergency triage intelligent medical system of claim 6, wherein the vital sign collecting device further comprises a chest pain module and a stroke module.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116895372A (en) * | 2023-09-11 | 2023-10-17 | 之江实验室 | Intelligent first-aid grading system based on large-scale language model and meta-learning |
| CN117423424A (en) * | 2023-12-19 | 2024-01-19 | 天津市泰达医院 | Emergency electronic medical record information classification management system based on data analysis |
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2021
- 2021-11-23 CN CN202111397455.8A patent/CN114078592A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116895372A (en) * | 2023-09-11 | 2023-10-17 | 之江实验室 | Intelligent first-aid grading system based on large-scale language model and meta-learning |
| CN116895372B (en) * | 2023-09-11 | 2024-02-09 | 之江实验室 | Intelligent first-aid grading system based on large-scale language model and meta-learning |
| CN117423424A (en) * | 2023-12-19 | 2024-01-19 | 天津市泰达医院 | Emergency electronic medical record information classification management system based on data analysis |
| CN117423424B (en) * | 2023-12-19 | 2024-02-23 | 天津市泰达医院 | Emergency electronic medical record information classification management system based on data analysis |
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