CN113130084A - Patient rehabilitation tracking management system based on artificial intelligence - Google Patents

Patient rehabilitation tracking management system based on artificial intelligence Download PDF

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Publication number
CN113130084A
CN113130084A CN202110435040.9A CN202110435040A CN113130084A CN 113130084 A CN113130084 A CN 113130084A CN 202110435040 A CN202110435040 A CN 202110435040A CN 113130084 A CN113130084 A CN 113130084A
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China
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module
patient
data
medical
video
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CN202110435040.9A
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Chinese (zh)
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李鹏
楚胜翔
章林洁
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Jiangsu Joinforwin Software Technology Co ltd
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Jiangsu Joinforwin Software Technology Co ltd
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Priority to CN202110435040.9A priority Critical patent/CN113130084A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

The invention relates to the field of rehabilitation systems, in particular to a patient rehabilitation tracking management system based on artificial intelligence, which comprises a medical care end and a patient end, wherein the medical care end and the patient end are in remote data transmission through a data cloud end, the medical care end and the patient end are both connected with a data acquisition end, the medical care end is connected with an evaluation system, the patient end is connected with a patient data input module, the medical care end and the patient end are jointly connected with a tracking guidance module, and the tracking guidance module comprises a real-time video module, a remote guidance module and an interaction module.

Description

Patient rehabilitation tracking management system based on artificial intelligence
Technical Field
The invention relates to the field of rehabilitation systems, in particular to a patient rehabilitation tracking management system based on artificial intelligence.
Background
Rehabilitation management refers to management of aspects of diagnosis, treatment, complications, prognosis, follow-up visit, prevention, training of rehabilitation personnel, development of rehabilitation departments and the like of rehabilitation patients, with the development of artificial intelligence technology, the rehabilitation training process of remotely tracking patients gradually becomes a key point of research, an existing management system has defects, a rating system is not provided in the rehabilitation tracking process of patients, the rehabilitation degree of the patients cannot be visually observed, remote transmission of data is not good, generally, medical care personnel input patient information into host equipment in a centralized mode, later-period remote calling is not facilitated, inconvenience is quite brought in the remote guidance process, remote guidance is often carried out through small programs and the like, and system comprehensiveness is not enough.
Disclosure of Invention
The invention aims to solve the defects in the background art and provides an artificial intelligence-based patient rehabilitation tracking management system.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows: the utility model provides a recovered management system that trails of patient based on artificial intelligence, includes and nurses end and patient's end, it carries out remote data transmission through the data high in the clouds between end and the patient end to nurse, it all is connected with data acquisition end with patient's end to nurse the end, it is connected with evaluation system to nurse the end, patient's end is connected with patient data and types the module, it leads the module to nurse end and patient's end to be connected with the tracking jointly, it includes real-time video module, long-range guide module and interactive module to trail to lead the module, wherein:
the medical care end is mobile equipment or host equipment used by medical care personnel;
the patient end is mobile equipment or host equipment used by a patient;
the data acquisition end is used for collecting data information of medical personnel and patients;
the assessment system is used for grading the rehabilitation condition of the patient;
the patient data entry module is used for entering the patient data into the patient end;
the real-time video module is used for remote video communication between the patient and the medical staff.
Preferably, the assessment system comprises a reference data import module and a patient data import module, the reference data import module and the patient data import module are jointly connected with a data management module, the data management module is connected with a comparison processing module, the comparison processing module is connected with a grade assessment module, the grade assessment module is connected with an assessment recording module, the parameter data import module is used for importing clinical reference data, the patient data import module is used for importing the clinical data of a patient, the data management module is used for managing the collected patient and reference data, the comparison processing module is used for comparing the patient data with the clinical reference data and ranking the difference between the data by the grade assessment module, and the assessment recording module is used for recording the assessed grade.
Preferably, the data cloud comprises a cloud database, the cloud database is connected with a data processing module and a data retrieval module, the data processing module is connected with a data receiving module and a data output module, the data retrieval module is connected with a data retrieval module, the data retrieval module is connected to the data output module, the cloud database is used for storing data of medical staff and patients, the data receiving module is used for receiving data sent by the medical care end and the patient end, the data output module is used for remotely transmitting the data to the medical care end and the patient end, the data processing module is used for processing the received data and the data in the cloud database, the data retrieval module is used for retrieving the data in the cloud database, the data calling module is used for calling out the data retrieved by the data retrieval and sending the data out by the data output module.
Preferably, the data acquisition end comprises a patient data acquisition module and a medical data acquisition module, the patient data acquisition module is used for collecting patient identity information and patient state information, and the medical data acquisition module is used for collecting medical identity information.
Preferably, the remote guidance module includes medical decision-making module, video entry module, audio frequency entry module and uploads the module, medical decision-making module is used for coming medical personnel's decision-making measure input so that later stage reference decision-making, the video entry module is used for cooperating medical personnel to record into the video with the guidance and deposits so that later stage reference, the audio frequency entry module is used for cooperating medical personnel to record into the audio frequency so that later stage reference, it is used for uploading medical decision-making, audio frequency to the data high in the clouds to upload the module.
Preferably, the interaction module comprises a feedback module, a patient video recording module and a patient audio recording module, the feedback module is used for assisting a patient to input requirements, the patient video recording module is used for shooting and recording the rehabilitation condition of the patient, and the patient audio recording module is used for recording the rehabilitation condition of the patient.
Preferably, the patient data entry module includes a patient identity database, a patient physical sign database, a medical record database and a treatment database, the patient identity database is used for storing patient identity information, the patient physical sign database is used for storing basic information of the body of the patient, the medical record database is used for storing the medical history of the patient, and the treatment database is used for storing the past treatment information of the patient.
Preferably, the real-time video module comprises an Sip communication platform and video equipment installed at the medical care end and the patient end, data transmission is performed between the video equipment and the Sip communication platform through a request protocol module, data transmission is performed between the Sip communication platform and a web service through the request protocol module, the web service is arranged in a data cloud, and the web service is used for receiving and sending a video request so that the medical care end and the patient end can mutually respond to video communication.
Compared with the prior art, the invention has the following beneficial effects:
1. through the set evaluation system, the parameter data import module is used for importing clinical reference data, the patient data import module is used for importing the clinical data of a patient, the data management module is used for managing the collected patient and the reference data, the comparison processing module is used for comparing the patient data with the clinical reference data, the difference between the data is graded by the grade evaluation module, the grade evaluation recording module is used for recording the grade of evaluation, the real-time detection data of the patient is compared with the preset clinical medical data, and the medical care personnel can intuitively grasp the illness state of the patient by grading through the difference between the two data.
2. By arranging the data cloud terminal, the data acquisition terminal and the remote guidance module, the medical care decision-making module is used for inputting decision-making measures of medical staff so as to facilitate later reference decision-making, the video input module is used for matching with the medical staff to record guidance into video for later reference, the audio input module is used for matching with the medical staff to record guidance into audio so as to facilitate later reference, the uploading module is used for uploading the medical care decision and the audio and video to the data cloud terminal, the data acquisition end comprises a patient data acquisition module and a medical data acquisition module, the patient data acquisition module is used for collecting the identity information of the patient and the state information of the patient, the medical data acquisition module is used for collecting the medical identity information, can gather patient and medical personnel's information to send to the data high in the clouds, so that later stage medical personnel's the transfer does benefit to going on of rehabilitation training process.
3. Through the real-time video module who sets up, carry out data transmission through the request protocol module between video equipment and the Sip communication platform, carry out data transmission through the request protocol module between Sip communication platform and the web service, the web service sets up in the data high in the clouds, the web service is used for receiving and sends the video request so that the end of doctorsing and nurses and patient end video communication of responding to each other, be favorable to medical personnel and patient to carry out video communication, do benefit to the direction and carry out the rehabilitation training.
4. Medical care decision-making module is used for will medical personnel's decision-making measure input so that the later stage reference decision-making, video input module is used for cooperating medical personnel will instruct to record into the video and deposit in so that the later stage is consulted, audio input module is used for cooperating medical personnel will instruct to record into the audio frequency so that the later stage is consulted, upload the module and be used for medical care decision-making, upload to the data high in the clouds on the audio frequency, feedback module is used for assisting patient's input demand, disease video recording module is used for taking the record with patient's recovered condition, disease recording module is used for taking notes patient's recovered condition, can effectively collect medical personnel and patient's audio frequency information, and deliver to the data high in.
Drawings
FIG. 1 is a schematic diagram of the operation of a patient rehabilitation tracking management system based on artificial intelligence according to the present invention;
FIG. 2 is a schematic diagram of an evaluation system of an artificial intelligence based patient rehabilitation tracking management system according to the present invention;
FIG. 3 is a data cloud schematic diagram of a patient rehabilitation tracking management system based on artificial intelligence according to the present invention;
FIG. 4 is a schematic diagram of a data acquisition end of a patient rehabilitation tracking management system based on artificial intelligence according to the present invention;
FIG. 5 is a schematic diagram of a tracking guidance module of the patient rehabilitation tracking management system based on artificial intelligence according to the present invention;
FIG. 6 is a schematic diagram of a patient data entry module of the patient rehabilitation tracking management system based on artificial intelligence of the present invention;
fig. 7 is a schematic diagram of a real-time video module of the patient rehabilitation tracking management system based on artificial intelligence.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art.
As shown in fig. 1-7 a recovered management system that trails of patient based on artificial intelligence, including doctorsing and nurses end and patient's end, doctorsing and nurses and carry out remote data transmission through the data high in the clouds between end and the patient's end, it all is connected with the data acquisition end with patient's end to doctorse and nurses the end and is connected with evaluation system, patient's end is connected with patient data entry module, it trails with patient's end and guides the module to doctorse and nurses the end, it includes real-time video module to trail to guide the module, long-range:
the medical care end is mobile equipment or host equipment used by medical care personnel;
the patient end is mobile equipment or host equipment used by the patient;
the data acquisition end is used for collecting data information of medical personnel and patients;
the evaluation system is used for grading the rehabilitation condition of the patient;
the patient data entry module is used for entering the patient data into the patient end;
the real-time video module is used for remote video communication between the patient and the medical staff.
The evaluation system comprises a reference data import module and a patient data import module, wherein the reference data import module and the patient data import module are jointly connected with a data management module, the data management module is connected with a comparison processing module, the comparison processing module is connected with a grade evaluation module, the grade evaluation module is connected with an evaluation recording module, the parameter data import module is used for importing clinical reference data, the patient data import module is used for importing the clinical data of a patient, the data management module is used for managing the collected patient and reference data, the comparison processing module is used for comparing the patient data with the clinical reference data and grading the difference between the data through the grade evaluation module, and the evaluation recording module is used for recording the evaluated grade.
The data high in the clouds includes the high in the clouds database, the high in the clouds database is connected with data processing module and data retrieval module, data processing module is connected with data receiving module and data output module, data retrieval module is connected by the data retrieval module, the data retrieval module is connected to the data output module, the high in the clouds database is used for storing medical personnel and patient's data, data receiving module is used for receiving the data of doctorsing and nurses the end and send with patient's end, data output module is used for coming data remote transmission to doctorsing and nurses end and patient's end, data processing module is used for handling the data of receipt and the data in the high in the clouds database, the data retrieval module is used for retrieving the data of data retrieval and sends out by data output module.
The data acquisition end comprises a patient data acquisition module and a medical data acquisition module, the patient data acquisition module is used for collecting patient identity information and patient state information, and the medical data acquisition module is used for collecting medical identity information.
The remote guidance module comprises a medical decision-making module, a video input module, an audio input module and an uploading module, the medical decision-making module is used for inputting decision-making measures of medical staff so as to facilitate later-stage reference decision, the video input module is used for matching the medical staff to record videos into a guide to be stored so as to facilitate later-stage reference, the audio input module is used for matching the medical staff to record the guide into audio so as to facilitate later-stage reference, and the uploading module is used for uploading the medical decision-making and the audio and video to a data cloud.
The interaction module comprises a feedback module, a patient video recording module and a patient recording module, the feedback module is used for assisting a patient to input a demand, the patient video recording module is used for shooting the rehabilitation condition of the patient, and the patient recording module is used for recording the rehabilitation condition of the patient.
The patient data entry module comprises a patient identity database, a patient sign database, a medical record database and a treatment database, wherein the patient identity database is used for storing patient identity information, the patient sign database is used for storing basic body information of a patient, the medical record database is used for storing a medical history of the patient, and the treatment database is used for storing past treatment information of the patient.
The real-time video module comprises an Sip communication platform and video equipment arranged at a medical care end and a patient end, data transmission is carried out between the video equipment and the Sip communication platform through a request protocol module, data transmission is carried out between the Sip communication platform and web service through the request protocol module, the web service is arranged in a data cloud end, and the web service is used for receiving and sending a video request so that the medical care end and the patient end can mutually respond to video communication.
Through the arranged evaluation system, the parameter data import module is used for importing clinical reference data, the patient data import module is used for importing the clinical data of a patient, the data management module is used for managing the collected patient and the reference data, the comparison processing module is used for comparing the patient data with the clinical reference data, the grade evaluation module is used for grading the difference between the data, the evaluation recording module is used for recording the evaluated grade, the real-time detection data of the patient is compared with the preset clinical medical data, and the medical care personnel can intuitively grasp the illness state of the patient through the difference between the two grading; by arranging the data cloud terminal, the data acquisition terminal and the remote guidance module, the medical care decision-making module is used for inputting decision-making measures of medical staff so as to facilitate later reference decision-making, the video input module is used for matching with the medical staff to record guidance into video for later reference, the audio input module is used for matching with the medical staff to record guidance into audio so as to facilitate later reference, the uploading module is used for uploading the medical care decision and the audio and video to the data cloud terminal, the data acquisition end comprises a patient data acquisition module and a medical data acquisition module, the patient data acquisition module is used for collecting the identity information of the patient and the state information of the patient, the medical data acquisition module is used for collecting the medical identity information, the information of the patient and the medical staff can be collected and sent to the data cloud end, so that the medical staff can be called conveniently in the later period, and the rehabilitation training process is facilitated; through the arranged real-time video module, data transmission is carried out between the video equipment and the Sip communication platform through the request protocol module, data transmission is carried out between the Sip communication platform and the web service through the request protocol module, the web service is arranged in the data cloud, and the web service is used for receiving and sending video requests so that the medical care end and the patient end can mutually respond to video communication, so that the video communication between the medical care personnel and the patient is facilitated, and the guidance for rehabilitation training is facilitated; medical care decision-making module is used for will medical personnel's decision-making measure input so that the later stage reference decision-making, video input module is used for cooperating medical personnel will instruct to record into the video and deposit in so that the later stage is consulted, audio input module is used for cooperating medical personnel will instruct to record into the audio frequency so that the later stage is consulted, upload the module and be used for medical care decision-making, upload to the data high in the clouds on the audio frequency, feedback module is used for assisting patient's input demand, disease video recording module is used for taking the record with patient's recovered condition, disease recording module is used for taking notes patient's recovered condition, can effectively collect medical personnel and patient's audio frequency information, and deliver to the data high in.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1. The utility model provides a recovered tracking management system of patient based on artificial intelligence, includes and nurses end and patient end, its characterized in that: the utility model discloses a medical nursing system, including the end of doctorsing and nurses, the end of doctorsing and nurses carries out remote data transmission through data high in the clouds between end and the patient end, the end of doctorsing and nurses all is connected with the data acquisition end with the patient end, the end of doctorsing and nurses is connected with evaluation system, the patient end is connected with patient data entry module, the end of doctorsing and nurses is connected with the tracking with the patient end jointly and guides the module, the tracking guides the module:
the medical care end is mobile equipment or host equipment used by medical care personnel;
the patient end is mobile equipment or host equipment used by a patient;
the data acquisition end is used for collecting data information of medical personnel and patients;
the assessment system is used for grading the rehabilitation condition of the patient;
the patient data entry module is used for entering the patient data into the patient end;
the real-time video module is used for remote video communication between the patient and the medical staff.
2. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the assessment system comprises a reference data import module and a patient data import module, wherein the reference data import module and the patient data import module are jointly connected with a data management module, the data management module is connected with a comparison processing module, the comparison processing module is connected with a grade assessment module, the grade assessment module is connected with an assessment recording module, the parameter data import module is used for importing clinical reference data, the patient data import module is used for importing the clinical data of a patient, the data management module is used for managing the collected patient and reference data, the comparison processing module is used for comparing the patient data with the clinical reference data and ranking the difference between the data through the grade assessment module, and the assessment recording module is used for recording the assessed grade.
3. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the data cloud comprises a cloud database, the cloud database is connected with a data processing module and a data retrieval module, the data processing module is connected with a data receiving module and a data output module, the data retrieval module is connected with a data retrieval module, the data retrieval module is connected to the data output module, the cloud database is used for storing data of medical staff and patients, the data receiving module is used for receiving data sent by the medical care end and the patient end, the data output module is used for remotely transmitting the data to the medical care end and the patient end, the data processing module is used for processing the received data and the data in the cloud database, the data retrieval module is used for retrieving the data in the cloud database, the data calling module is used for calling out the data retrieved by the data retrieval and sending the data out by the data output module.
4. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the data acquisition end comprises a patient data acquisition module and a medical data acquisition module, the patient data acquisition module is used for collecting patient identity information and patient state information, and the medical data acquisition module is used for collecting medical identity information.
5. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the remote guidance module includes medical decision-making module, video input module, audio frequency input module and uploads the module, medical decision-making module is used for the decision-making measure input that will use medical personnel so that the later stage makes a reference, the video input module is used for cooperating medical personnel to record into the video and deposits so that the later stage makes a reference, the audio frequency input module is used for cooperating medical personnel will guide to record into the audio frequency so that the later stage makes a reference, it is used for uploading the module and uploads medical decision-making, audio frequency to the data high in the clouds.
6. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the interaction module comprises a feedback module, a patient video recording module and a patient audio recording module, the feedback module is used for assisting a patient to input requirements, the patient video recording module is used for shooting the rehabilitation condition of the patient for recording, and the patient audio recording module is used for recording the rehabilitation condition of the patient.
7. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the patient data entry module comprises a patient identity database, a patient sign database, a medical record database and a treatment database, wherein the patient identity database is used for storing patient identity information, the patient sign database is used for storing basic information of the body of a patient, the medical record database is used for storing the medical history of the patient, and the treatment database is used for storing the past treatment information of the patient.
8. The artificial intelligence based patient rehabilitation tracking management system according to claim 1, wherein: the real-time video module comprises an Sip communication platform and video equipment arranged at a medical care end and a patient end, data transmission is carried out between the video equipment and the Sip communication platform through a request protocol module, data transmission is carried out between the Sip communication platform and web service through the request protocol module, the web service is arranged in a data cloud end, and the web service is used for receiving and sending a video request so that the medical care end and the patient end can mutually respond to video communication.
CN202110435040.9A 2021-04-22 2021-04-22 Patient rehabilitation tracking management system based on artificial intelligence Pending CN113130084A (en)

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Publication number Priority date Publication date Assignee Title
CN103488880A (en) * 2013-09-09 2014-01-01 上海交通大学 Remote medical rehabilitation system in smart city
CN103989472A (en) * 2014-05-22 2014-08-20 杜金刚 Stroke patient neural rehabilitation assessment method based on electro-cerebral alpha sample entropies
EP2990972A1 (en) * 2013-04-02 2016-03-02 Espinosa Escalona, Fernando Pablo José Telemedicine system for remote consultation, diagnosis and medical treatment services
CN107944754A (en) * 2017-12-13 2018-04-20 泰康保险集团股份有限公司 Method, apparatus, storage medium and the electronic equipment of rehabilitation performance rating
CN112669975A (en) * 2021-01-29 2021-04-16 宜兴市人民医院 Medical quality safety visual supervision platform based on business intelligence

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2990972A1 (en) * 2013-04-02 2016-03-02 Espinosa Escalona, Fernando Pablo José Telemedicine system for remote consultation, diagnosis and medical treatment services
CN103488880A (en) * 2013-09-09 2014-01-01 上海交通大学 Remote medical rehabilitation system in smart city
CN103989472A (en) * 2014-05-22 2014-08-20 杜金刚 Stroke patient neural rehabilitation assessment method based on electro-cerebral alpha sample entropies
CN107944754A (en) * 2017-12-13 2018-04-20 泰康保险集团股份有限公司 Method, apparatus, storage medium and the electronic equipment of rehabilitation performance rating
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