CN112259186A - Novel sleep disorder diagnosis and treatment system - Google Patents
Novel sleep disorder diagnosis and treatment system Download PDFInfo
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Abstract
The invention discloses a novel sleep disorder diagnosis and treatment system, which comprises: a user management module; a setting module; an information display module; the first appointment module is used for a patient to appointment a doctor; the AI diagnosis and treatment module is used for automatically diagnosing and treating and evaluating the sleep state of the patient before diagnosis; the communication module is used for information interaction between the patient and the reserved doctor so that the doctor can know the condition of the patient conveniently; the diagnosis module is used for setting hospital admission examination items for doctors according to the current patient condition; a data recording module; the second reservation module is used for the patient to confirm the examination items set by the doctor and reserve the examination time of the patient in the hospital; and the fee settlement module is used for settling the fee according to the items reserved by the patient. The novel sleep disorder diagnosis and treatment system provided by the invention can enable doctors to have preliminary knowledge on the sleep condition of patients through automatic diagnosis and treatment evaluation of the sleep state before diagnosis. On the basis, the mental examination is performed in a targeted manner, and the outpatient time is greatly saved.
Description
Technical Field
The invention relates to a novel sleep disorder diagnosis and treatment system.
Background
With the increasing work pressure and rhythm, the sleep problem becomes an important factor which troubles our lives more and more, and the Chinese sleep research issues 500 ten thousand sleep disorder questionnaires nationwide on 21/3/2003, and the preliminary statistical result of the questionnaire shows that the rate of sleep disorder existing in the investigated population is 38.4%, wherein 31% of patients are primary sleep disorder. The world health organization survey shows that about 25% of adults are dissatisfied with sleep, 10% -15% of adults are said to have insomnia symptoms with an effect on daytime functions, and 6% -10% of adults meet the diagnosis standard of insomnia, which is one of the most common complaints of primary medical institutions, and the complaints rise with the increase of age, and women are twice as much as men. Insomnia can lead to decreased productivity, absenteeism, etc. Meanwhile, insomnia is associated with various mental disorders, such as anxiety and depression. And is also a risk factor of a plurality of somatic diseases, such as insomnia, obesity, diabetes, hypertension, dyslipidemia, heart disease, stroke and other diseases.
The traditional hospitalizing process comprises the following steps: the insomnia patient comes to a hospital and visits a doctor, the doctor inquires about the medical history, corresponding examination and examination sheets are issued according to the medical history, preliminary diagnosis is given according to the results of the medical history, the examination and the like, and treatment decisions are made. Then, the patient goes home to execute the medical advice by himself, such as taking necessary medicines, recording a sleep diary, completing the insomnia cognitive behavior training and the like. In fact, after the patients go home, most of the patients do not take the medicine for worrying about the adverse reaction, dependence and the like of the medicine, let alone finish the cognitive behavior training, and the chronic insomnia is not cured. For insomnia, patients must actively participate in disease management to obtain optimal therapeutic effects.
Disclosure of Invention
To solve the disadvantages of the prior art, the present invention provides a novel sleep disorder diagnosis and treatment system that can solve the above problems.
In order to achieve the above object, the present invention adopts the following technical solutions:
a novel sleep disorder diagnosis and treatment system, comprising:
the user management module is used for accessing the novel sleep disorder diagnosis and treatment system for the user and managing the user;
the setting module is used for setting the working time and the number of the signal sources by a doctor;
the information display module is used for displaying the information of the current appointment-making doctor according to the information set by the doctor in the setting module for the patient to check;
the first appointment module is used for the patient to appointment the doctor, and after the appointment is successfully made, the patient can check the treatment queue condition of the currently-appointed doctor through the first appointment module;
the AI diagnosis and treatment module is used for automatically diagnosing and treating and evaluating the sleep state of the patient before diagnosis;
the communication module is used for information interaction between the patient and the reserved doctor so that the doctor can conveniently know the condition of the patient, and the doctor can ask questions of the patient in a targeted manner according to the diagnosis and treatment evaluation result of the AI diagnosis and treatment module so as to comprehensively judge the condition of the patient;
the diagnosis module is used for setting hospital admission examination items for doctors according to the current patient condition;
the second reservation module is used for the patient to confirm the examination items set by the doctor and reserve the examination time of the patient in the hospital;
and the fee settlement module is used for settling the fee according to the items reserved by the patient.
Further, the AI diagnoses the module and includes:
the storage unit is used for storing a plurality of evaluation tables for evaluating patients;
the answering unit is used for enabling the patient to complete answering to the evaluation form;
and the AI diagnosis and treatment unit is used for automatically diagnosing and treating and evaluating the sleep condition of the patient according to the answering condition of the patient.
Further, the novel sleep disorder diagnosis and treatment system further comprises:
the data recording module is used for storing treatment information of all patients;
the AI diagnosis and treatment module further comprises:
the AI matching unit matches the treatment information of all patients with answer similarity larger than a certain threshold from the data recording module according to the answer condition of the patients;
further, the evaluation tables include a PSQI evaluation table, a GAD-7 evaluation table, a PHQ-9 evaluation table, and an ESS evaluation table.
Further, the novel sleep disorder diagnosis and treatment system further comprises:
the sleep recording module is used for uploading sleep information to a patient for a doctor to check;
and the learning module is used for the patient to check the information related to the sleep disorder.
Further, the novel sleep disorder diagnosis and treatment system further comprises:
the data collection module is used for collecting sleep information of the patient uploaded by the intelligent sleep monitoring equipment in real time;
the intelligent analysis module is used for analyzing the sleep information in real time;
the early warning module is used for sending early warning information to a corresponding doctor when the sleep information has problems;
and the reminding module is used for reminding the doctor of the patient with the problem.
Further, the novel sleep disorder diagnosis and treatment system further comprises:
and the medical advice module is used for setting a treatment scheme for the patient after the doctor obtains the hospital arrival examination result of the patient.
Further, the novel sleep disorder diagnosis and treatment system further comprises:
the list generation module is used for generating a daily medical advice list according to a treatment scheme set by a doctor;
and the medical advice reminding module is used for reminding the patient when the patient does not finish the items in the daily medical advice list at the set time.
Further, the novel sleep disorder diagnosis and treatment system further comprises:
the shared data module is used for storing a plurality of shared data;
the shared data matching module is used for acquiring the comprehensive medical history of the patient from the shared data module according to the identity information of the patient;
and the shared data analysis module is used for intelligently analyzing the risk drugs according to the comprehensive medical history of the patient.
Further, the user management module includes:
the registration unit is used for registering an account number for a patient or a doctor;
the authentication unit is used for carrying out identity verification on the registered doctor;
and the login unit is used for a patient or a doctor to login the novel sleep disorder diagnosis and treatment system through the account.
The novel sleep disorder diagnosis and treatment system has the advantages that through the automatic diagnosis and treatment evaluation of the sleep state before diagnosis, doctors can preliminarily know the sleep condition of patients. On the basis, the mental examination is performed in a targeted manner, and necessary auxiliary examination is supplemented, so that the clinic time is greatly saved, meanwhile, the bias of clinical diagnosis is reduced, and further, accurate diagnosis and an optimized treatment decision based on evaluation are given.
The novel sleep disorder diagnosis and treatment system has the advantages that the whole hospitalization process is provided with the trace of receiving a doctor, traceable medical documents are provided, and the information record is provided in the drug distribution and distribution link after the completion of receiving a doctor, so that the novel sleep disorder diagnosis and treatment system is used for medical closed-loop management of seeing a doctor and hospitalizing. The medical institutions such as cooperative drugstores and communities finish the medical treatment, and if the medicine link is out of order, the medical treatment can be actively checked, so that the safety of the treatment process is ensured.
Drawings
Fig. 1 is a schematic diagram of the novel sleep disorder diagnosis and treatment system of the present invention.
The novel sleep disorder diagnosis and treatment system 100 comprises a user management module 10, a registration unit 101, an authentication unit 102, a login unit 103, a setting module 11, an information display module 12, a first reservation module 13, an AI diagnosis and treatment module 14, a storage unit 141, a question answering unit 142, an AI diagnosis and treatment unit 143, an AI matching unit 144, a communication module 15, a diagnosis module 16, a second reservation module 17, a charge settlement module 18, a data recording module 19, a sleep recording module 20, a learning module 21, a data collection module 22, an intelligent analysis module 23, an early warning module 24, a reminding module 25, an order module 26, a list generation module 27, an order reminding module 28, a shared data module 29, a shared data matching module 30 and a shared data analysis module 31.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
Fig. 1 shows a novel sleep disorder diagnosis and treatment system 100 according to the present invention, which mainly comprises: the system comprises a user management module 10, a setting module 11, an information display module 12, a first appointment module 13, an AI (Artificial Intelligence) diagnosis and treatment module 14, a communication module 15, a diagnosis module 16, a second appointment module 17 and a fee settlement module 18.
The user management module 10 is used for the user to access the novel sleep disorder diagnosis and treatment system 100 and manage the user. Specifically, the user management module 10 includes: a registration unit 101, an authentication unit 102, and a login unit 103. The registration unit 101 is used for a patient or a doctor to perform account registration. The user performs account registration through the registration unit 101 by using a device such as a mobile phone or a computer. The authentication unit 102 is used for performing identity verification on a registered doctor. In order to ensure the doctor's identity, the doctor needs to upload the relevant qualification documents during registration and perform identity verification through the authentication unit 102. The login unit 103 is used for a patient or a doctor to log in the novel sleep disorder diagnosis and treatment system 100 through an account.
The setting module 11 is used for setting the working time and the number of signal sources for doctors. After the doctor logs in the novel sleep disorder diagnosis and treatment system 100, the working time period and the number of patients receiving a diagnosis are set by the setting module 11 according to the condition of the doctor.
The information display module 12 is used for displaying the information of the currently available doctor for the patient to view according to the information set in the setting module 11 by the doctor. After the doctor sets his own working time and number source number through the setting module 11, the patient can preview the doctor's working information through the information display module 12 after logging on the platform, so as to select a suitable doctor.
The first appointment module 13 is used for the patient to appointment a doctor. After the appointment is successfully made, the patient can check the condition of the visit queue of the currently-appointed doctor through the first appointment module 13.
The AI therapy module 14 is used for performing an automatic pre-diagnosis sleep state therapy assessment on a patient. Before the doctor communicates with the patient directly, the AI diagnosis module 14 performs a preliminary diagnosis on the patient. Specifically, the AI medical module 14 includes: a storage unit 141, an answering unit 142 and an AI diagnosis and treatment unit 143, wherein the storage unit 141 is used for storing a plurality of evaluation tables for evaluating patients, and the evaluation tables are used for the patients to answer and evaluating the sleeping states of the patients. Specifically, the evaluation tables include a PSQI evaluation table, a GAD-7 evaluation table, a PHQ-9 evaluation table, and an ESS evaluation table. The answering unit 142 is used for the patient to complete the answering to the evaluation form. The AI diagnosis and treatment unit 143 is configured to perform automatic diagnosis and treatment evaluation on the sleep condition of the patient according to the answer condition of the patient. According to the invention, through an artificial intelligent analysis mode, intelligent diagnosis and treatment evaluation is automatically carried out on the patient according to the answering condition of the patient to the evaluation table, and the diagnosis and treatment evaluation result is provided for a doctor to check. The content of the AI evaluation may include preliminary disease condition determination, disease condition analysis, medication recommendation, and the like.
As a preferred embodiment, the novel sleep disorder diagnosis and treatment system 100 further comprises: a data recording module 19. The data logging module 19 stores treatment information for all patients. The AI therapy module 14 also includes an AI matching unit 144. The AI matching unit 144 matches the treatment information of all patients whose answer similarity is greater than a certain threshold from the data recording module 19 according to the answer condition of the patient. It is understood that when the patient is automatically evaluated by the AI medical module 14, the AI matching unit 144 of the AI medical module 14 matches other patients having the same or similar answers to the patient and corresponding treatment information from the data recording module 19 according to the evaluation table completed by the patient, and the information can be used for the doctor to further understand the current situation of the patient and provide reference for the doctor to make a subsequent diagnosis.
The communication module 15 is used for information interaction between the patient and the reserved doctor so that the doctor can know the condition of the patient conveniently. The doctor can specifically ask questions of the patient according to the diagnosis evaluation result of the AI diagnosis module 14 to comprehensively judge the condition of the patient. Specifically, the doctor performs a mental examination specifically aiming at the evaluated condition of the patient, supplements necessary auxiliary examination, greatly saves clinic time, reduces the bias of clinical diagnosis, and further provides accurate diagnosis and optimized treatment decision based on evaluation.
The diagnosis module 16 is used for setting the examination items to the hospital according to the current patient condition. The doctor confirms the condition of the patient according to the diagnosis and treatment evaluation result of the AI diagnosis and treatment module 14 and the communication of the doctor, and sets a treatment scheme suitable for the patient according to the condition, and the doctor can set the examination items in the hospital with pertinence for the patient needing to go to the hospital for a doctor.
The second appointment module 17 is used for the patient to confirm the examination items set by the doctor and to appoint the examination time of the hospital. And after the patient agrees and confirms the diagnosis result of the doctor and the hospital arrival examination items recommended by the doctor, further confirming the hospital arrival time, and finishing the reservation of the hospital arrival examination.
The fee settlement module 18 is used for settling the fee according to the items reserved by the patient.
As a preferred embodiment, the novel sleep disorder diagnosis and treatment system 100 further comprises: a sleep recording module 20 and a learning module 21.
The sleep recording module 20 is used for the patient to upload sleep information for the doctor to view. The patient finishes the diagnosis and leaves the hospital at home to record the sleep condition of the patient every day, and the doctor can clearly present the sleep condition of the period of time only by calling the patient data in the system during the re-diagnosis, so that the inquiry time is greatly shortened while the diagnosis and treatment data are provided.
The learning module 21 is used for the patient to view information related to sleep disorders. The learning module 21 is provided with a series of related topics such as emotion and sleep and answering videos of famous medical experts, and also provides sleep articles for a patient to read and learn, and integrates classified articles such as sleep encyclopedias, expert lectures, sleep stickers, sleep stories and the like.
As a preferred embodiment, the novel sleep disorder diagnosis and treatment system 100 further comprises: a data collection module 22, an intelligent analysis module 23, an early warning module 24 and a reminding module 25.
The data collection module 22 is used for collecting sleep information of the patient uploaded by the intelligent sleep monitoring device in real time. The intelligent analysis module 23 is used for analyzing the sleep information in real time. The early warning module 24 is used for sending early warning information to a corresponding doctor when the sleep information has problems. The reminding module 25 is used for reminding the doctor of the patient with the problem.
As a preferred embodiment, the novel sleep disorder diagnosis and treatment system 100 further comprises: an order module 26.
The order module 26 is used for a doctor to set a treatment plan for a patient after obtaining the result of the hospital arrival check of the patient. After the patient is examined in the hospital, the doctor obtains the examination result information of the patient and sets a treatment scheme for the patient through the medical advice module 26.
As a preferred embodiment, the novel sleep disorder diagnosis and treatment system 100 further comprises: a checklist generation module 27 and an order reminder module 28,
the list generating module 27 is used for generating a daily medical order list according to the treatment scheme set by the doctor. The order reminder module 28 is used to remind the patient when the patient has not completed the items in the daily order list at the prescribed time.
As a preferred embodiment, the novel sleep disorder diagnosis and treatment system 100 further comprises: a shared data module 29, a shared data matching module 30 and a shared data analysis module 31.
The shared data module 29 is used for storing several shared data. The shared data module 29 contains not only the treatment data of the patient at the hospital, but also the treatment data of the patient at other hospitals, and these data show the treatment information of the patient. The shared data matching module 30 is used to obtain the comprehensive medical history of the patient from the shared data module 29 according to the identity information of the patient. The patient, upon registering the user, registers identity information by which the patient's corresponding relatively complete integrated medical history is matched from the shared data module 29. The shared data analysis module 31 is used to intelligently analyze the risk medication based on the patient's integrated medical history. For some diseases, there may be a greater response to a particular drug, and the shared data analysis module 31 intelligently analyzes the drug that may be at risk to the patient based on the patient's history and prompts the doctor.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (10)
1. A novel sleep disorder diagnosis and treatment system, comprising:
the user management module is used for accessing the novel sleep disorder diagnosis and treatment system by a user and managing the user;
the setting module is used for setting the working time and the number of the signal sources by a doctor;
the information display module is used for displaying the information of the current appointment-making doctor according to the information set by the doctor in the setting module for the patient to check;
the first appointment module is used for the patient to appointment the doctor, and after the appointment is successfully made, the patient can check the treatment queue condition of the currently-appointed doctor through the first appointment module;
the AI diagnosis and treatment module is used for automatically diagnosing and treating and evaluating the sleep state of the patient before diagnosis;
the communication module is used for information interaction between the patient and the reserved doctor so that the doctor can conveniently know the condition of the patient, and the doctor can ask questions of the patient in a targeted manner according to the diagnosis and treatment evaluation result of the AI diagnosis and treatment module so as to comprehensively judge the condition of the patient;
the diagnosis module is used for setting hospital admission examination items for doctors according to the current patient condition;
the second reservation module is used for the patient to confirm the examination items set by the doctor and reserve the examination time of the patient in the hospital;
and the fee settlement module is used for settling the fee according to the items reserved by the patient.
2. The novel sleep disorder diagnosis and treatment system according to claim 1,
the AI diagnosis and treatment module comprises:
the storage unit is used for storing a plurality of evaluation tables for evaluating patients;
the answering unit is used for enabling the patient to complete answering to the evaluation table;
and the AI diagnosis and treatment unit is used for automatically diagnosing and treating and evaluating the sleep condition of the patient according to the answering condition of the patient.
3. The novel sleep disorder diagnosis and treatment system according to claim 2,
the novel sleep disorder diagnosis and treatment system further comprises:
the data recording module is used for storing treatment information of all patients;
the AI diagnosis and treatment module further comprises:
and the AI matching unit is used for matching the treatment information of all patients with answer similarity larger than a certain threshold from the data recording module according to the answer condition of the patients.
4. The novel sleep disorder diagnosis and treatment system according to claim 3,
the evaluation tables include a PSQI evaluation table, a GAD-7 evaluation table, a PHQ-9 evaluation table, and an ESS evaluation table.
5. The novel sleep disorder diagnosis and treatment system according to claim 1,
the novel sleep disorder diagnosis and treatment system further comprises:
the sleep recording module is used for uploading sleep information to a patient for a doctor to check;
and the learning module is used for the patient to check the information related to the sleep disorder.
6. The novel sleep disorder diagnosis and treatment system according to claim 1,
the novel sleep disorder diagnosis and treatment system further comprises:
the data collection module is used for collecting sleep information of the patient uploaded by the intelligent sleep monitoring equipment in real time;
the intelligent analysis module is used for analyzing the sleep information in real time;
the early warning module is used for sending early warning information to a corresponding doctor when the sleep information has problems;
and the reminding module is used for reminding the doctor of the patient with the problem.
7. The novel sleep disorder diagnosis and treatment system according to claim 1,
the novel sleep disorder diagnosis and treatment system further comprises:
and the medical advice module is used for setting a treatment scheme for the patient after the doctor obtains the hospital arrival examination result of the patient.
8. The novel sleep disorder diagnosis and treatment system according to claim 7,
the novel sleep disorder diagnosis and treatment system further comprises:
the list generation module is used for generating a daily medical advice list according to a treatment scheme set by a doctor;
and the medical advice reminding module is used for reminding the patient when the patient does not finish the items in the daily medical advice list at the set time.
9. The novel sleep disorder diagnosis and treatment system according to claim 1,
the novel sleep disorder diagnosis and treatment system further comprises:
the shared data module is used for storing a plurality of shared data;
the shared data matching module is used for acquiring the comprehensive medical history of the patient from the shared data module according to the identity information of the patient;
and the shared data analysis module is used for intelligently analyzing the risk drugs according to the comprehensive medical history of the patient.
10. The novel sleep disorder diagnosis and treatment system according to claim 1,
the user management module comprises:
the registration unit is used for registering an account number for a patient or a doctor;
the authentication unit is used for carrying out identity verification on the registered doctor;
and the login unit is used for a patient or a doctor to log in the novel sleep disorder diagnosis and treatment system through an account.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113838571A (en) * | 2021-09-03 | 2021-12-24 | 苏小慢 | Big health medical treatment method and system based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108309286A (en) * | 2017-12-15 | 2018-07-24 | 中国人民解放军第二军医大学第二附属医院 | Sleep disturbance detects treatment system |
| CN109243605A (en) * | 2018-09-20 | 2019-01-18 | 段新 | A kind of phrenoblabia diagnoses and treatment system based on artificial intelligence |
| CN110504010A (en) * | 2018-05-18 | 2019-11-26 | 南京埃利莎生物技术有限公司 | Intelligent diagnosis and treatment management method, system and the intelligent clinic using it |
| CN111128333A (en) * | 2019-11-05 | 2020-05-08 | 朱蜀秦 | One-stop intelligent diagnosis and intelligent medical management system |
-
2020
- 2020-10-22 CN CN202011138100.2A patent/CN112259186A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108309286A (en) * | 2017-12-15 | 2018-07-24 | 中国人民解放军第二军医大学第二附属医院 | Sleep disturbance detects treatment system |
| CN110504010A (en) * | 2018-05-18 | 2019-11-26 | 南京埃利莎生物技术有限公司 | Intelligent diagnosis and treatment management method, system and the intelligent clinic using it |
| CN109243605A (en) * | 2018-09-20 | 2019-01-18 | 段新 | A kind of phrenoblabia diagnoses and treatment system based on artificial intelligence |
| CN111128333A (en) * | 2019-11-05 | 2020-05-08 | 朱蜀秦 | One-stop intelligent diagnosis and intelligent medical management system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113838571A (en) * | 2021-09-03 | 2021-12-24 | 苏小慢 | Big health medical treatment method and system based on big data |
| CN113838571B (en) * | 2021-09-03 | 2023-12-22 | 北京约来健康科技有限公司 | Big health medical system based on big data |
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Application publication date: 20210122 |