CN113393914A - Symptom evaluation report system for depression patients - Google Patents
Symptom evaluation report system for depression patients Download PDFInfo
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- CN113393914A CN113393914A CN202110679393.3A CN202110679393A CN113393914A CN 113393914 A CN113393914 A CN 113393914A CN 202110679393 A CN202110679393 A CN 202110679393A CN 113393914 A CN113393914 A CN 113393914A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- 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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Abstract
The invention discloses a symptom evaluation report system for depression patients, and belongs to the technical field of health consultation evaluation. Step 1, information input, personal health files are established for each patient, an information sharing mechanism based on the internet is established, the nursing needs and health consultation needs of the patients are collected and investigated, step 2, a self-evaluation module carries out psychological record self-evaluation at any time, and the evaluation module carries out depression evaluation, anxiety evaluation, suicide risk evaluation and the like, step 3, preliminary diagnosis, can automatically generate a personalized health evaluation report according to the self evaluation, the medication condition, the medical condition, the basic condition and the like of the patient, and push the report to the patient, family members and nursing staff, according to the pushing result, the severity of the depression symptom of the patient is judged, the accuracy of the judgment is increased, the situations of wrong judgment and missed judgment are eliminated, the psychiatric risk grade of the depression patient is judged, the psychological condition of the detecting personnel is accurately grasped, the depression patient is reminded to go to the hospital for medical treatment in time, and symptomatic treatment is carried out in time.
Description
Technical Field
The invention relates to the technical field of health consultation evaluation, in particular to a symptom evaluation report system for depression patients.
Background
The health consultation assessment can know the own depression condition of an assessor through the professional depression psychological test question, meanwhile, the depression psychological test question can only be used as a reference and cannot replace hospital diagnosis, the consultation and judgment of doctors are needed, and the examination question assessment can help the depression patients to find and treat as early as possible.
The traditional evaluation report is simply made with several test questions to judge, and the judgment standard is not accurate.
The traditional hospital inquiry and queuing time is long, the psychological pressure of patients is large when the patients face the inquiry, and the time consumption is long.
Disclosure of Invention
The invention aims to provide a symptom evaluation report system for depression patients, which aims to solve the problems that the hospital has long inquiry and queuing time, and the patients have high psychological pressure and long time consumption when being subjected to inquiry.
In order to achieve the purpose, the invention adopts the following technical scheme:
a symptom assessment reporting system for a patient with depression, comprising the steps of:
step 1, information input, namely establishing a personal health file for each patient, establishing an information sharing mechanism based on the Internet as a main part, and collecting and investigating the nursing requirements and health consultation requirements of the patients;
step 2, a self-evaluation module carries out psychological record self-evaluation at any time, and evaluation of modules such as depression evaluation, anxiety evaluation, suicide risk and the like are carried out;
step 3, performing preliminary diagnosis, namely automatically generating a personalized health evaluation report according to the self evaluation, the medication condition, the hospitalizing condition, the basic condition and the like of the patient, and pushing the report to the patient, family members and nursing personnel;
step 4, performing high-level test, taking depression core symptoms (depressed mood, lack of interest and loss of fun) as basic symptoms, and performing further test aiming at the step two;
step 5, evaluating a report, wherein the result evaluated in the step 4 is evaluated to obtain a result;
and 6, health consultation is divided into two parts, namely system automatic robot answering and manual answering. Inputting the set disease knowledge and self-care knowledge into a system, and automatically generating answers according to the consultation keywords of the patient;
and 7, performing outpatient service appointment, automatically reminding the patient of the evaluation result in the step 5 to perform outpatient service appointment in time, and timely reminding the outpatient service time of the doctor in charge of the patient to perform appointment reminding, so that the condition that no number can be hung is avoided.
Preferably, according to step 4, the preliminary diagnosis is based on a mood depression;
the preliminary diagnosis should have at least 4 of the following symptoms, decreased or absent interest in daily life, significantly reduced energy, sustained feeling of fatigue without obvious causes, mental retardation or agitation, difficulty in thinking, or significantly decreased voluntary thinking ability, too low self-evaluation, recurrent thoughts of death, or suicidal behavior, insomnia, or early awakening, or hypersomnia, anorexia, or significant weight loss, significantly reduced libido.
Preferably, the evaluation criteria of severity in the preliminary diagnosis according to step 3 include impaired social function, pain to the person and adverse consequences, and the symptoms satisfy more than two weeks.
Preferably, the exclusion criteria in the preliminary diagnosis according to step 3 include depression, delusional disorders and schizophrenia caused by brain organic diseases, somatic diseases and psychoactive substances.
Preferably, according to the step 4, the nurse monitors the psychological risk level of the depression patient in real time, and the system automatically warns the patient with the risk according to the psychological risk level to remind the nurse to contact with the family members to intervene in time.
Preferably, according to step 1, the information is entered, specifically including daily outpatient service, past medical history, diagnosis of disease, family medical history, health physical examination, follow-up information, individual living habits and medication related conditions of the patient.
Preferably, according to the evaluation report in the step 5, the set disease knowledge and self-care knowledge are input into the system, and answers are automatically generated according to the consultation keywords of the patient; the nurse responsible for continuous nursing who can not answer the system answers specially, and the patient is guided to take care of and seek medical advice correctly.
Preferably, the overall psychological state of the patient is further understood according to step 4 by performing detailed examination mainly aiming at the aspects of feeling, consciousness, thinking, emotion, attention, memory, intelligence and self-control of the patient with depression.
Compared with the prior art, the invention provides a symptom evaluation report system for depression patients, which has the following beneficial effects:
1. the depression is judged in a multi-layer mode, the judgment accuracy is improved, the conditions of wrong judgment and missed judgment are eliminated, the depression grade is judged, the psychological condition of a detector is accurately mastered, the medicine is taken according to the symptoms, and the detector can quickly seek medical advice;
2. the continuous nursing care mode of the discharged depression patients based on the Internet is established, the state of illness of the patients is timely identified by utilizing information transmission modes such as the Internet and the like, previous cases and medication conditions of the patients are searched out, the timeliness and effectiveness of treatment of the depression patients are improved, and evidence-based medical evidence is provided for establishing a novel efficient discrimination standard.
Drawings
Fig. 1 is a schematic structural diagram of a control box of a symptom evaluation reporting system for a depression patient according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, a symptom evaluation reporting system for a depression patient, comprising the steps of:
step 1, information input, namely establishing a personal health file for each patient, establishing an information sharing mechanism based on the Internet as a main part, and collecting and investigating the nursing requirements and health consultation requirements of the patients;
step 2, a self-evaluation module carries out psychological record self-evaluation at any time, and evaluation of modules such as depression evaluation, anxiety evaluation, suicide risk and the like are carried out;
step 3, performing preliminary diagnosis, namely automatically generating a personalized health evaluation report according to the self evaluation, the medication condition, the hospitalizing condition, the basic condition and the like of the patient, and pushing the report to the patient, family members and nursing personnel;
step 4, performing high-level test, taking depression core symptoms (depressed mood, lack of interest and loss of fun) as basic symptoms, and performing further test aiming at the step two;
step 5, evaluating a report, wherein the result evaluated in the step 4 is evaluated to obtain a result;
and 6, health consultation is divided into two parts, namely system automatic robot answering and manual answering. Inputting the set disease knowledge and self-care knowledge into a system, and automatically generating answers according to the consultation keywords of the patient;
and 7, performing outpatient service appointment, automatically reminding the patient of the evaluation result in the step 5 to perform outpatient service appointment in time, and timely reminding the outpatient service time of the doctor in charge of the patient to perform appointment reminding, so that the condition that no number can be hung is avoided.
Further, according to step 4, the preliminary diagnosis takes the depression as the basic symptom;
the preliminary diagnosis should have at least 4 of the following symptoms, decreased or absent interest in daily life, significantly reduced energy, sustained feeling of fatigue without obvious causes, mental retardation or agitation, difficulty in thinking, or significantly decreased voluntary thinking ability, too low self-evaluation, recurrent thoughts of death, or suicidal behavior, insomnia, or early awakening, or hypersomnia, anorexia, or significant weight loss, significantly reduced libido.
Further, according to step 3, the criteria for judging the severity in the preliminary diagnosis include impaired social function, pain to the person and adverse consequences, and the symptoms satisfy more than two weeks.
Further, the exclusion criteria in the preliminary diagnosis according to step 3 include depression, delusional disorders and schizophrenia caused by brain organic diseases, somatic diseases and psychoactive substances.
Further, according to the step 4, the nurse monitors the psychological risk level of the depression patient in real time, and the system automatically warns the patient with the risk according to the information to remind the nurse to contact with the family members to intervene in time.
Further, according to the step 1, the information is entered, specifically including the daily outpatient service, past medical history, diagnosis of diseases, family medical history, health physical examination, follow-up information, personal living habits and medication related conditions of the patient.
Further, according to the evaluation report in the step 5, inputting the set disease knowledge and self-care knowledge into a system, and automatically generating answers according to the consultation keywords of the patient; the nurse responsible for continuous nursing who can not answer the system answers specially, and the patient is guided to take care of and seek medical advice correctly.
Further, according to step 4, detailed examination is mainly performed on the aspects of feeling, consciousness, thinking, emotion, attention, memory, intelligence and self-control of the depression patient, so as to further understand the whole psychological state of the patient.
According to the method, an Internet mechanism is established, a personal information file of a detector is established, the nursing requirement and the health consultation requirement of a patient are collected and investigated, the patient is subjected to preliminary evaluation, whether the patient has depression evaluation, anxiety evaluation and suicide risk evaluation is judged, a personalized health evaluation report is generated according to preliminary evaluation criteria and pushed to the patient, family members and a nursing staff, deep judgment is carried out again, the low mood is taken as a basic symptom, further testing is carried out aiming at the step two, an evaluation result is generated in detail, the depression grade is judged, health consultation is carried out, a corresponding health suggestion is given according to the evaluation result, the patient is automatically reminded of outpatient appointment, the outpatient time of a doctor in charge of the patient is timely reminded of appointment, and the condition that no number can be hung is avoided.
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 able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (8)
1. A symptom assessment reporting system for a patient with depression, comprising the steps of:
step 1, information input, namely establishing a personal health file for each patient, establishing an information sharing mechanism based on the Internet as a main part, and collecting and investigating the nursing requirements and health consultation requirements of the patients;
step 2, a self-evaluation module carries out psychological record self-evaluation at any time, and evaluation of modules such as depression evaluation, anxiety evaluation, suicide risk and the like are carried out;
step 3, performing preliminary diagnosis, namely automatically generating a personalized health evaluation report according to the self evaluation, the medication condition, the hospitalizing condition, the basic condition and the like of the patient, and pushing the report to the patient, family members and nursing personnel;
step 4, performing high-level test, taking depression core symptoms (depressed mood, lack of interest and loss of fun) as basic symptoms, and performing further test aiming at the step two;
step 5, evaluating a report, wherein the result evaluated in the step 4 is evaluated to obtain a result;
and 6, health consultation is divided into two parts, namely system automatic robot answering and manual answering. Inputting the set disease knowledge and self-care knowledge into a system, and automatically generating answers according to the consultation keywords of the patient;
and 7, performing outpatient service appointment, automatically reminding the patient of the evaluation result in the step 5 to perform outpatient service appointment in time, and timely reminding the outpatient service time of the doctor in charge of the patient to perform appointment reminding, so that the condition that no number can be hung is avoided.
2. The symptom assessment reporting system of a depressive disorder patient according to claim 1, wherein the preliminary diagnosis is based on the mood depression in step 4;
the preliminary diagnosis should have at least 4 of the following symptoms, decreased or absent interest in daily life, significantly reduced energy, sustained feeling of fatigue without obvious causes, mental retardation or agitation, difficulty in thinking, or significantly decreased voluntary thinking ability, too low self-evaluation, recurrent thoughts of death, or suicidal behavior, insomnia, or early awakening, or hypersomnia, anorexia, or significant weight loss, significantly reduced libido.
3. The system as claimed in claim 1, wherein the criteria for the severity of the preliminary diagnosis in step 3 include impaired social function, pain and adverse consequences for the subject, and the symptoms are satisfied for two weeks or more.
4. The symptom assessment reporting system of claim 1, wherein the exclusion criteria in the preliminary diagnosis include depression, delusional disorder and schizophrenia caused by organic diseases of brain, somatic diseases and psychoactive substances according to step 3.
5. The symptom evaluation reporting system of the depressive disorder patient according to claim 1, wherein in step 4, the nurse monitors the psychological risk level of the depressive disorder patient in real time, and the system automatically warns the patient with the risk to remind the nurse to contact with the family for timely intervention.
6. The symptom evaluation reporting system of depression patients as claimed in claim 1, wherein the information is entered according to step 1, and specifically includes the daily outpatient service, past medical history, diagnosis of disease, family medical history, physical examination, follow-up information, personal lifestyle habits and medication related conditions of the patients.
7. The symptom evaluation reporting system of depressive disorder patients as claimed in claim 1, wherein the evaluation report is inputted with disease knowledge and self-care knowledge into the system to automatically generate answers according to the consultation keywords of patients in step 5; the nurse responsible for continuous nursing who can not answer the system answers specially, and the patient is guided to take care of and seek medical advice correctly.
8. The symptom assessment reporting system of claim 2, wherein the overall psychological status of the patient is further understood by examining the detail of step 4 mainly regarding the feeling, consciousness, thinking, emotion, attention, memory, intelligence, and continence of the patient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110679393.3A CN113393914A (en) | 2021-06-18 | 2021-06-18 | Symptom evaluation report system for depression patients |
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| CN202110679393.3A CN113393914A (en) | 2021-06-18 | 2021-06-18 | Symptom evaluation report system for depression patients |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113782154A (en) * | 2021-09-16 | 2021-12-10 | 南充心海无忧医疗科技有限公司 | Pregnant and lying-in woman mental health management system |
| CN114694833A (en) * | 2022-04-24 | 2022-07-01 | 申惠春 | Multifunctional neurology intelligent diagnosis method based on 5G and Internet of things |
| CN117079830A (en) * | 2023-10-13 | 2023-11-17 | 领华数科(厦门)信息技术有限公司 | Psychological health risk screening system assisted by big data |
-
2021
- 2021-06-18 CN CN202110679393.3A patent/CN113393914A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113782154A (en) * | 2021-09-16 | 2021-12-10 | 南充心海无忧医疗科技有限公司 | Pregnant and lying-in woman mental health management system |
| CN114694833A (en) * | 2022-04-24 | 2022-07-01 | 申惠春 | Multifunctional neurology intelligent diagnosis method based on 5G and Internet of things |
| CN117079830A (en) * | 2023-10-13 | 2023-11-17 | 领华数科(厦门)信息技术有限公司 | Psychological health risk screening system assisted by big data |
| CN117079830B (en) * | 2023-10-13 | 2023-12-26 | 领华数科(厦门)信息技术有限公司 | Psychological health risk screening system assisted by big data |
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Application publication date: 20210914 |
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