CN115394431A - Intelligent medical service system - Google Patents
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- 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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- 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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Abstract
The invention discloses an intelligent medical service system which comprises a patient end, a doctor end, an outpatient service end and an electronic case end, wherein the patient end, the doctor end, the outpatient service end and the electronic case end are subjected to data interaction through the Internet and a cloud server; the system comprises a patient end, a patient registration module, a diagnosis guide module, a condition judgment module, a doctor reservation module, a project examination module and an outpatient service reservation module, wherein the intelligent medical system is divided into a plurality of small services which are mutually cooperated; all the steps of business construction, center removal and automation are surrounded; the invention utilizes the simulated inquiry to avoid the defects of two modes of real person video and network message leaving, achieves the balance of efficiency and cost, and lays a foundation for subsequent services such as registration, inspection, visit, return visit and the like; the invention can process the items of reservation, registration, inspection, medicine taking, payment and the like all outside the hospital in a unified way, and can be used for carrying out high-efficiency clinical activities in the hospital.
Description
Technical Field
The invention relates to the field of medical systems, in particular to an intelligent medical service system.
Background
The information-based construction of hospitals is started from the beginning of the century till now, and through the development of nearly 20 years, hospitals gradually deepen the understanding of important meanings of the information-based construction, and the information-based construction of hospitals is fully recognized as an important means for improving the management level of hospitals and the competitiveness of hospitals. Meanwhile, with the deep development of medical reform, the improvement of the degree of marketization of hospitals and the progress of information technology, the information system plays an important role in the fields of horizontal business of hospitals and longitudinal management of hospitals.
However, the current intelligent medical system has some problems, for example, (1) at the system architecture level:
at present, the HIS system used by each large hospital is used and perfected by partially renovating products on the basis of a primary application architecture 20 years ago by means of some emerging technologies, and a top-down integral system design idea and an architecture system are not adopted. In recent years, most of the upgrades enable regional clinical data center CDRs, and information sharing and real-time interaction between systems are realized by a standard data standard and an interface service standard in a HSB service bus mode. However, as the number of auxiliary information systems increases day by day and the level of specialization is increasingly improved, the traditional "midboard mode" is fast in supporting the exponential growth of the system, the phenomenon of view of "flying all day" has appeared, each new system, new function and even new demand are online to bring different degrees of damage to the existing system, and the same situation also exists in several large core medical technology systems of hospitals, such as PACS, LIS, physical examination, hand anesthesia and electrophysiology, which disturb the overall operation order of the system.
(2) At the level of data quality:
at present, the clinical core data of the hospital is mainly driven by medical advice, recorded through the whole course of an electronic medical record and finally sorted and filed by a medical record. At present, hospitals basically have structured electronic medical records, but because the clinical names and disease codes are not matched and unified in a full amount, and the level of partial doctors is limited, better matching items are difficult to select from limited items, so that the situations of distorted clinical information, inconsistency of names in medical records with clinical practice and the like are caused. Under the background of massive medical data, unreal medical data are layered endlessly, which brings great negative effects and hidden dangers to clinic, scientific research and teaching.
(3) At the front-end operational level:
the existing hospital information system is improved in the aspect of user operation compared with the prior art, and the requirements of fuzzy matching, frequency priority, multi-field searching and the like are basically met. However, most medical systems adopt a CS architecture or a native JS front-end technology, so that the compatibility of touch devices such as a tablet and the like or technologies such as language recognition and the like is poor, the cache capacity is insufficient, and the phenomena of stagnation and the like are easily caused, so that a doctor spends too long time in writing medical records, the doctor-patient communication time is reduced, and the hidden danger of doctor-patient contradiction is increased.
(4) In the aspect of information security:
at present, each hospital completes the transformation of a machine room and a network according to the requirements of 'three-level equal insurance', basically completes the localization transformation of related servers, firewalls, switches, bastards, access devices, audit devices, sensing devices, storage devices and the like, but the core part represented by a database is foreign products represented by ORACEL, sqlserver, caCh and the like, and seriously threatens the security of medical data in China.
(5) Diagnosis and treatment process level:
at present, the convenience and people-benefiting services such as appointment registration, self-service machine, mobile payment, intelligent pharmacy, test and examination result pushing and the like are basically realized in all hospitals, and the queuing number of the hospitals is greatly reduced. However, the number source is short, the department is wrongly hung, the operation is complex, and the situations of number passing, number retreating and the like occur when the person arrives at the hospital to take the number. And when inquiring, because there is no examination data of the patient, a request form is required to be made and a report is taken for secondary diagnosis. The examination time is uncertain, part of examination items need to be scheduled, and the patient needs to wait for a long time or come to the hospital for many times. After the doctor sees the report, if the condition is complicated, the doctor needs multidisciplinary consultation, and also needs to schedule consultation again, which leads the patient to come to the hospital repeatedly.
(6) And (3) medical service aspects:
the family doctor responsibility system covers the family shortage and the service capability is limited. The daily outpatient service workload of a plurality of family doctors is large, so that the times of replying signed family consultation and outpatient inquiry by the family doctors are gradually reduced, and the diagnosis and treatment service provided for the signed family is placed after the outpatient service.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provided by the invention is as follows: an intelligent medical service system comprises a patient end, a doctor end, an outpatient service end and an electronic case end, wherein the patient end, the doctor end, the outpatient service end and the electronic case end are in data interaction through the Internet and a cloud server;
the patient side comprises a patient login module, a diagnosis guide module, a condition judgment module, a doctor reservation module, a project examination module and an outpatient reservation module;
the diagnosis guide module comprises a real-time voice/video acquisition unit, a real-time voice/video recognition unit, a real-time voice/video translation unit, a real-time voice/video recording unit, an electronic case filling unit and an AI question and answer unit; the doctor reservation module comprises a doctor reservation request sending unit, a doctor reservation time determining unit and a doctor video communication unit, wherein the doctor reservation request sending unit is used for sending a reservation request to a doctor end; the outpatient service appointment module comprises an outpatient service appointment request sending unit, an outpatient service appointment time determining unit, an outpatient service form selecting module and an outpatient service video communication unit;
the doctor end comprises a doctor appointment request receiving module, a doctor appointment time feedback module, a doctor-patient communication module, a pre-diagnosis electronic case auditing module, a pre-diagnosis electronic case updating module and an inspection list generating module;
the outpatient service terminal comprises an outpatient-patient communication module, a supplementary electronic case auditing module, a supplementary electronic case updating module, a hospital admission judging module, a treatment scheme generating module, an outpatient bill module and an outpatient service module; the outpatient service module comprises a medicine delivery outpatient service unit and an outpatient nursing unit;
the electronic case end comprises an electronic case generation storage module and an electronic case updating storage module;
preferably, the real-time voice/video acquiring unit is used for acquiring voice/video information of a patient and transmitting the voice/video information to the real-time voice/video identifying unit; the real-time voice/video recognition unit carries out information recognition on voice/video information based on a deep learning convolutional neural network and sends a recognition result to the real-time voice/video recording unit, the electronic case filling unit and the AI question and answer unit; the real-time voice/video recording unit records voice/video information in real time based on the recording; the electronic case filling unit is used for filling cases according to the information identified by the real-time voice/video identification unit, and the AI question-answering unit is used for carrying out voice/video conversation with the patient on the basis of the information identified by the voice/video library and the real-time voice/video identification unit;
preferably, the situation determining module determines the situation of the patient according to the information identified by the real-time voice/video identifying unit, if the situation is an emergency situation, the emergency procedure is entered, and if the situation is a normal situation, the voice/video communication is ended.
Preferably, the doctor appointment time determining unit is used for determining the appointment time according to the selection of the doctor end; the doctor video communication unit is used for carrying out video communication with a doctor according to the determined appointment time;
preferably, the project inspection module comprises a registration unit, an inspection time reservation unit and a payment unit, wherein the registration unit is used for registering according to the patient, the inspection time reservation unit is used for reserving according to the registered project of the patient, and the payment unit is used for generating an order according to the registered project of the patient and pushing a bill;
preferably, the outpatient service reservation request sending unit is used for sending a reservation request to an outpatient service terminal; the outpatient service appointment time determining unit is used for determining appointment time according to selection of an outpatient service terminal; the outpatient service form selection module is used for selecting outpatient service forms, including remote video outpatient service and visiting service; the outpatient service video communication unit is used for carrying out video communication with an outpatient service according to the determined appointment time.
Preferably, the doctor reservation request receiving module is configured to receive a reservation request sent by a patient side;
the doctor appointment time feedback module is used for sending the appointment time to the patient end;
the doctor-patient communication module is used for carrying out voice/video communication with the patient end;
the pre-diagnosis electronic case auditing module is used for auditing the electronic case generated by the patient side;
the pre-diagnosis electronic case updating module is used for updating the electronic case according to the auditing result of the pre-diagnosis electronic case auditing module;
and the examination order generating module is used for generating necessary examination orders, registered departments and main doctors according to the communication with the patients.
Preferably, the outpatient communication module is used for outpatient communication with a patient;
the supplementary electronic case auditing module is used for auditing the electronic case generated by the patient side;
the supplementary electronic case updating module is used for updating the electronic case according to the auditing result of the supplementary electronic case auditing module;
the hospitalization judging module is used for judging whether the patient needs hospitalization treatment according to the information communicated with the patient;
the treatment plan generation module is used for issuing an outpatient treatment plan according to the condition of a patient;
the outpatient service bill module is used for generating an outpatient service bill according to the treatment scheme and pushing the bill.
Preferably, the medication delivery and attendance unit generates a delivery medication order according to the treatment plan, and the attendance unit generates an attendance care order according to the treatment plan.
Preferably, the electronic case generation storage module is used for receiving and storing the electronic case generated by the patient side, and the electronic case update storage module is used for receiving and storing the update contents of the electronic case by the doctor side and the clinic side.
After the scheme is adopted, the invention has the following advantages: (1) The intelligent medical system is divided into a plurality of small services, and the services are mutually cooperated; all operations including business construction, decentralized (business holds data) and automation are performed;
(2) The invention avoids the defects of two modes of real person video and network message leaving by utilizing the simulation inquiry, achieves the balance of efficiency and cost, and lays a foundation for subsequent services such as registration, inspection, examination, review, return visit and the like;
(3) The invention is provided with a doctor end and an outpatient service end, and is beneficial to return visit and doctor-patient interaction to recover from society.
(4) The invention uniformly processes items such as reservation, registration, inspection, medicine taking, payment and the like outside the hospital, and is used for carrying out high-efficiency clinical activities in the hospital.
(5) The invention utilizes AI voice, image, neural network and other recognition technology to automatically and efficiently match the structured electronic medical record, thereby improving the value of doctor-patient communication data.
(6) For hospitals, the invention deeply practices graded diagnosis and treatment policies and Internet hospital advantages, leads the flow of patients into families and society as much as possible, reduces the pressure of the stream of people in hospitals, and improves the satisfaction degree of patients;
for patients, the invention completes diagnosis division and guide in a friendly and easy mode, completes the examination and examination before the hospital in the free time, and reduces the times of patients going to the hospital and the time of patients in the hospital;
for doctors, the invention relieves the doctors from endless medical record writing and writing, returns to the essence of medical treatment, and exerts the advantages of family doctors, emergency doctors and specialist doctors in each division.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic diagram of a system of a patient end in an intelligent medical service system according to the present invention.
Fig. 2 is a schematic diagram of a system of a doctor in an intelligent medical service system according to the present invention.
FIG. 3 is a schematic diagram of an outpatient system in an intelligent medical service system according to the present invention.
FIG. 4 is a flowchart illustrating an intelligent medical service system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Examples
An intelligent medical service system comprises a patient end, a doctor end, an outpatient service end and an electronic case end, wherein the patient end, the doctor end, the outpatient service end and the electronic case end are in data interaction through the Internet and a cloud server;
the patient side can be intelligent equipment such as APP, quick application, small programs, public numbers or outpatient hall intelligent question-answering robots and the like, and comprises a patient login module, a diagnosis guide module, a condition judgment module, a doctor reservation module, a project inspection module and an outpatient reservation module;
the diagnosis guide module comprises a real-time voice/video acquisition unit, a real-time voice/video recognition unit, a real-time voice/video translation unit, a real-time voice/video recording unit, an electronic case filling unit and an AI question and answer unit; the real-time voice/video acquisition unit is used for acquiring the voice/video information of the patient and transmitting the voice/video information to the real-time voice/video recognition unit; the real-time voice/video recognition unit carries out information recognition on voice/video information based on a deep learning convolutional neural network and sends a recognition result to the real-time voice/video recording unit, the electronic case filling unit and the AI question-answering unit; the information identification comprises the steps of converting voice/video data into character data, and performing text sentence breaking, error correction, feature extraction and professional medical phrase translation on the question character data; wherein: text sentence segmentation and error correction are realized by a BERT algorithm-based deep learning convolution neural network; the feature extraction is realized by a deep learning convolutional neural network based on a Transformer Big model; the professional medical expression translation is realized based on a deep learning convolutional neural network of a Seq2Seq model.
The real-time voice/video recording unit records voice/video information in real time based on the recording; the electronic case filling unit is used for filling cases according to the information identified by the real-time voice/video identification unit, and the AI answering unit is used for carrying out voice/video conversation with the patient on the basis of the information identified by the voice/video library and the real-time voice/video identification unit; the AI question-answering unit can be an AI intelligent question-answering robot based on a knowledge graph (KnowledgeGraph) + (BERT-CRF) deep learning neural network to communicate with the patient.
The situation judging module judges the situation of the patient according to the information identified by the real-time voice/video identifying unit, if the situation belongs to an emergency situation, an emergency treatment process is started, and if the situation belongs to a normal situation, voice/video communication is ended;
in the above, the method for judging the patient condition according to the voice can utilize an audio-assisted diagnosis AI micro-service cluster based on a related medical knowledge graph to judge the patient state according to the breathing type, tone, continuity, cough symptom, emotion analysis and the like of the patient, for example, judge whether the patient breathes rapidly and heavily according to the breathing type, judge whether the patient speaks unclearly and lingering and discontinuous according to the tone, tone and continuity of the patient, judge the cough interval and exertion degree of the patient according to the cough symptom of the patient, judge whether the patient is under the condition of tension and anxiety according to the emotion analysis, and further judge whether the patient is in an emergency;
judging the condition of the patient according to the video can utilize an image-assisted diagnosis AI micro-service cluster based on a relevant medical knowledge map to judge the state of the patient according to the eyes, the white eyes, the face color, the tongue fur, the lip color, the trauma condition and the like of the patient, for example, judging whether the eyes of the patient have bloody streaks, jaundice, colored spots, dark circles and the like according to the eyes and the white eyes of the patient; judging whether the face of the patient is dark, tragic and white or whether the face of the patient is whelk, nevus or spots and the like according to the face of the patient; judging whether the patient has white fur, yellow fur, gray and black fur and the like according to the tongue fur of the patient; judging whether the lips of the patient are white, black or anemia and the like according to the color of the lips of the patient; whether the patients have wound bleeding, suppuration, red swelling and the like is judged according to the trauma condition.
The doctor reservation module comprises a doctor reservation request sending unit, a doctor reservation time determining unit and a doctor video communication unit, wherein the doctor reservation request sending unit is used for sending a reservation request to a doctor end; the outpatient service appointment module comprises an outpatient service appointment request sending unit, an outpatient service appointment time determining unit, an outpatient service form selecting module and an outpatient service video communication unit; the doctor appointment time determining unit is used for determining appointment time according to the selection of the doctor end; the doctor video communication unit is used for carrying out video communication with a doctor according to the determined appointment time; by reserving the time, the patient can communicate with the doctor at the doctor end through the video; based on the information fed back by the doctor end, the patient selects corresponding project examination and outpatient service appointment;
the project checking module comprises a registration unit, a checking time reservation unit and a payment unit, wherein the registration unit is used for registering according to the patient, the checking time reservation unit is used for reserving according to the registered project of the patient, and the payment unit is used for generating an order according to the registered project of the patient and pushing a bill; the outpatient service appointment request sending unit is used for sending an appointment request to an outpatient service terminal; the outpatient service appointment time determining unit is used for determining appointment time according to selection of an outpatient service terminal; the outpatient service form selection module is used for selecting outpatient service forms, including remote video outpatient service and visiting service; the outpatient service video communication unit is used for carrying out video communication with the outpatient service according to the determined appointment time.
The doctor end is logged in by a doctor signed by the system or a pre-diagnosis doctor on duty, and comprises a doctor appointment request receiving module, a doctor appointment time feedback module, a doctor-patient communication module, a pre-diagnosis electronic case auditing module, a pre-diagnosis electronic case updating module and an inspection list generating module;
the doctor reservation request receiving module is used for receiving a reservation request sent by a patient end; the doctor appointment time feedback module is used for sending the appointment time to the patient end; a doctor-patient communication module for voice/video communication with the patient end; the pre-diagnosis electronic case auditing module is used for auditing the electronic case generated by the patient side; the pre-diagnosis electronic case updating module is used for updating the electronic case according to the auditing result of the pre-diagnosis electronic case auditing module; the examination order generation module is used for generating necessary examination orders, registered departments and main doctors according to communication with patients;
the doctor and the patient at the doctor end carry out video communication according to the reserved time, and meanwhile, the doctor end updates the electronic case according to the feedback of the patient end;
the outpatient service terminal comprises an outpatient-patient communication module, a supplementary electronic case auditing module, a supplementary electronic case updating module, a hospital admission judging module, a treatment scheme generating module, an outpatient bill module and an outpatient service module; the outpatient service module comprises a medicine delivery outpatient service unit and an outpatient nursing unit; the outpatient service-patient communication module is used for communication between an outpatient service and a patient, the communication mode is full-process recording, the background server automatically arranges and perfects the electronic medical record of the patient according to the conversation between a doctor and the patient, and meanwhile, the doctor is supported to use a large-screen handheld PAD device (multi-point touch control) to assist in selecting a diagnosis and treatment scheme. Reducing the computer operation of doctors focusing on communicating the illness state with patients and making diagnosis and treatment plans; the supplementary electronic case auditing module is used for auditing the electronic case generated by the patient side; the supplementary electronic case updating module is used for updating the electronic case according to the auditing result of the supplementary electronic case auditing module; the admission judgment module is used for judging whether the patient needs to be admitted for treatment according to the information communicated with the patient, entering an admission treatment process if the patient needs to be admitted for treatment, and issuing an outpatient treatment scheme by a doctor if the patient does not need to be admitted for treatment; the treatment plan generation module is used for issuing an outpatient treatment plan according to the condition of a patient; the outpatient service bill module is used for generating an outpatient service bill according to the treatment scheme, pushing the bill and pushing the bill to a mobile phone of a patient to pay by the mobile terminal; after a patient receives treatment, the medicine delivery and attendance unit generates a delivery medicine order according to a treatment scheme based on the Internet of things, and the attendance nursing unit generates an attendance nursing order according to the treatment scheme.
The electronic case end comprises an electronic case generation storage module and an electronic case update storage module;
the electronic case generation storage module is used for receiving and storing the electronic case generated by the patient side, and the electronic case update storage module is used for receiving and storing the update contents of the electronic case from the doctor side and the clinic side.
Pre-diagnosis of electronic cases includes: patient health card information: the contents of name, telephone, ID card number, medical insurance card number, address and the like, and the contents of the prior medical history, the allergic history, the current medical history, the chief complaint information and the like of the patient;
the supplementary electronic case includes the remaining part of the pre-diagnosed electronic case, including physical examination, diagnosis, treatment opinions, health instructions, review plan, etc.
When the invention is used, the value and the safety of medical data can be improved fundamentally (1):
the development of medical health data application will bring about deep changes of medical health mode. However, the medical health data not only has a serious 'information isolated island' problem, but also has less relation with health data of all levels of medical institutions, and data statistics does not form a unified standard. The medical health information which is isolated and has lower standardization level seriously restricts the industrial efficiency improvement of the medical health data, and the value of the medical data cannot be reflected. Through the project construction, the 5G + neural network artificial intelligence is utilized to acquire, store, analyze, perfect and unify related medical terms, so that the clinical behavior is more real, and the clinical data is more valuable.
(2) Really realize the fine management of medical health institutions:
the integration of hospital business and management information through the project construction improves the information exchange and sharing efficiency, and provides a convenient means for various management data acquisition, storage, data mining, deep learning and development of fine management. The method is beneficial to improving the hospital management level and improving the hospital core competitiveness and operation efficiency. Through system construction, a hospital operation management target decision-making theory and a method with real performance compensation as a lever are established, and the unification of logistics, fund flow, business flow and data flow in hospital operation management is realized; the management system of the manager in the aspects of planning, using, coordinating, evaluating, exciting and the like of various comprehensive resources of people, property, materials and data is enhanced, the operation management efficiency of the hospital is comprehensively improved, and the comprehensive operation management mode of the modern hospital is finally established.
(3) The medical experience and satisfaction of patients are improved subversively:
through the project construction, a user only needs to enter a simulated real person question-answer interface through the most convenient one-key question-answer function, and the question-answer service is completed under the guidance and question of the AI intelligent question-answer robot based on the knowledge map deep learning neural network. And then waiting for a set of series services such as appointment register, pre-hospital examination and the like provided for a user by the background through a scientific algorithm, and freely selecting the patient according to the own time arrangement. Thereby greatly reducing the times of going to the hospital and the waiting time in the hospital, and establishing a virtuous-circle doctor-patient communication new mode.
(4) The doctor work efficiency and the service level are improved in a crossing manner:
the medical system can automatically arrange and perfect outpatient clinic institutional electronic medical records of patients according to the conversation between doctors and patients through whole-course recording and the background neural network server, and doctors can select a diagnosis and treatment scheme in an auxiliary mode by holding the tablet device. Reduce the operation times and practice of a computer mouse of a doctor, focus on the communication of the patient and the establishment of a diagnosis and treatment scheme. Thereby greatly improving the working efficiency and the service level of doctors.
(5) The application function level classification of the electronic medical record of the assisted hospital reaches the highest standard:
in 2019, in 5 months, the manual of performance assessment operation in national third-level public hospitals (2019 edition) made by the national health commission organization was published to the outside formally. Wherein, the method comprises the step of applying functional level grading on the electronic medical record. The project is designed to achieve the development goal with the highest level of 8 (health information integration, and medical safety quality is continuously improved).
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An intelligent medical service system is characterized by comprising a patient end, a doctor end, an outpatient service end and an electronic case end, wherein the patient end, the doctor end, the outpatient service end and the electronic case end are in data interaction through the Internet and a cloud server;
the patient side comprises a patient login module, a diagnosis guide module, a condition judgment module, a doctor reservation module, a project examination module and an outpatient reservation module;
the diagnosis guide module comprises a real-time voice/video acquisition unit, a real-time voice/video recognition unit, a real-time voice/video translation unit, a real-time voice/video recording unit, an electronic case filling unit and an AI question and answer unit; the doctor reservation module comprises a doctor reservation request sending unit, a doctor reservation time determining unit and a doctor video communication unit, wherein the doctor reservation request sending unit is used for sending a reservation request to a doctor end; the outpatient service appointment module comprises an outpatient service appointment request sending unit, an outpatient service appointment time determining unit, an outpatient service form selecting module and an outpatient service video communication unit;
the doctor end comprises a doctor appointment request receiving module, a doctor appointment time feedback module, a doctor-patient communication module, a pre-diagnosis electronic case auditing module, a pre-diagnosis electronic case updating module and an inspection list generating module;
the outpatient service terminal comprises an outpatient-patient communication module, a supplementary electronic case auditing module, a supplementary electronic case updating module, a hospital admission judging module, a treatment scheme generating module, an outpatient bill module and an outpatient service module; the outpatient service module comprises a medicine delivery and outpatient service unit and an outpatient nursing unit;
the electronic case end comprises an electronic case generation storage module and an electronic case updating storage module.
2. The intelligent medical service system according to claim 1, wherein the real-time voice/video acquisition unit is configured to acquire voice/video information of a patient and transmit the voice/video information to the real-time voice/video recognition unit; the real-time voice/video recognition unit carries out information recognition on voice/video information based on a deep learning convolutional neural network and sends a recognition result to the real-time voice/video recording unit, the electronic case filling unit and the AI question and answer unit; the real-time voice/video recording unit records voice/video information in real time based on the recording; the electronic case filling unit fills in cases according to the information identified by the real-time voice/video identification unit, and the AI question-answering unit performs voice/video conversation with the patient based on the voice/video library and the information identified by the real-time voice/video identification unit.
3. The intelligent medical service system as claimed in claim 1, wherein the condition determining module determines the condition of the patient based on the information recognized by the real-time speech/video recognition unit, and enters an emergency procedure if the condition is an emergency condition, and ends the speech/video communication if the condition is a normal condition.
4. The intelligent medical service system according to claim 1, wherein the doctor appointment time determination unit is configured to determine an appointment time according to a doctor-side selection; the doctor video communication unit is used for carrying out video communication with a doctor according to the determined appointment time.
5. The intelligent medical service system according to claim 1, wherein the item checking module comprises a registration unit, a checking time reservation unit, and a payment unit, the registration unit is used for registering according to the patient, the checking time reservation unit is used for making a reservation according to the registered item of the patient, and the payment unit is used for generating an order according to the registered item of the patient and pushing a bill.
6. The intelligent medical service system according to claim 1, wherein the outpatient service reservation request sending unit is configured to send a reservation request to an outpatient service; the outpatient service appointment time determining unit is used for determining appointment time according to selection of an outpatient service terminal; the outpatient service form selection module is used for selecting outpatient service forms, including remote video outpatient service and visiting service; the outpatient service video communication unit is used for carrying out video communication with an outpatient service according to the determined appointment time.
7. The intelligent medical service system according to claim 1, wherein the doctor reservation request receiving module is configured to receive a reservation request from a patient;
the doctor appointment time feedback module is used for sending the appointment time to the patient end;
the doctor-patient communication module is used for carrying out voice/video communication with the patient end;
the pre-diagnosis electronic case auditing module is used for auditing the electronic case generated by the patient side;
the pre-diagnosis electronic case updating module is used for updating the electronic case according to the auditing result of the pre-diagnosis electronic case auditing module;
and the examination order generation module is used for generating necessary examination orders, registered departments and main doctors according to the communication with the patients.
8. The intelligent medical services system of claim 1, wherein the out-patient communication module is for out-patient communication with a patient;
the supplementary electronic case auditing module is used for auditing the electronic case generated by the patient side;
the supplementary electronic case updating module is used for updating the electronic case according to the auditing result of the supplementary electronic case auditing module;
the hospitalization judging module is used for judging whether the patient needs hospitalization according to the information communicated with the patient;
the treatment scheme generation module is used for issuing an outpatient treatment scheme according to the condition of a patient;
the outpatient service bill module is used for generating an outpatient service bill according to the treatment scheme and pushing the bill.
9. The intelligent medical service system according to claim 1, wherein the medication delivery door unit generates delivery medication orders according to a treatment plan, and the door care unit generates door care orders according to a treatment plan.
10. The intelligent medical service system according to claim 1, wherein the electronic case generation and storage module is used for receiving and storing electronic cases generated by a patient side, and the electronic case update and storage module is used for receiving and storing updated contents of the electronic cases generated by a doctor side and an outpatient side.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210941831.3A CN115394431A (en) | 2022-08-08 | 2022-08-08 | Intelligent medical service system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210941831.3A CN115394431A (en) | 2022-08-08 | 2022-08-08 | Intelligent medical service system |
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| CN202210941831.3A Withdrawn CN115394431A (en) | 2022-08-08 | 2022-08-08 | Intelligent medical service system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115691779A (en) * | 2022-12-29 | 2023-02-03 | 南京大经中医药信息技术有限公司 | Outpatient service appointment system of HIS (medical imaging System) system of traditional Chinese medicine outpatient service department |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115691779A (en) * | 2022-12-29 | 2023-02-03 | 南京大经中医药信息技术有限公司 | Outpatient service appointment system of HIS (medical imaging System) system of traditional Chinese medicine outpatient service department |
| CN115691779B (en) * | 2022-12-29 | 2023-04-21 | 南京大经中医药信息技术有限公司 | Clinic appointment system based on HIS system of department of clinic of traditional Chinese medicine |
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