CN117954072A - Remote diagnosis and reception system technical field based on Internet 5G technology - Google Patents

Remote diagnosis and reception system technical field based on Internet 5G technology Download PDF

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Publication number
CN117954072A
CN117954072A CN202410222336.6A CN202410222336A CN117954072A CN 117954072 A CN117954072 A CN 117954072A CN 202410222336 A CN202410222336 A CN 202410222336A CN 117954072 A CN117954072 A CN 117954072A
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medical record
patient
module
value
marking
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吴金明
梁枫
周盛义
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Guangzhou Libra's Furniture Manufacturing Co ltd
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Guangzhou Libra's Furniture Manufacturing Co ltd
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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
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2431Multiple classes
    • 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
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
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  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
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Abstract

The invention discloses a remote diagnosis and reception system based on an Internet 5G technology, which relates to the technical field of remote diagnosis and reception and comprises the following components: the system comprises an online consultation module, a video consultation module, an electronic medical record management module, an analysis module and a deployment module; the online consultation module is used for collecting information input by a patient online, preparing an electronic medical record of the patient according to the information, and classifying the electronic medical record according to the disease condition; the online consultation module, the video consultation module, the electronic medical record management module, the analysis module and the medicine distribution module are connected through internet communication; the video of the electronic medical record management module can judge the severity of the illness state of the patient according to the kind of the illness state of the patient, the patient with serious illness state can be preferentially diagnosed, the priority of the patient to be diagnosed can be ordered through the analysis module, and a proper doctor can be preferentially allocated to the serious patient to be diagnosed.

Description

Remote diagnosis and reception system technical field based on Internet 5G technology
The invention relates to a remote diagnosis and reception system based on an Internet 5G technology, in particular to the technical field of remote diagnosis.
Background
The remote diagnosis and treatment system is a medical service platform based on the Internet technology, and aims to provide convenient and efficient remote diagnosis and treatment services for patients, the patients can ask questions to doctors and describe own symptoms through the online consultation function of the remote diagnosis and treatment system, the doctors can give preliminary diagnosis and treatment suggestions according to information provided by the patients, and the remote diagnosis and treatment system supports the doctors to carry out video communication with the patients so that the doctors can more intuitively know the symptoms and the illness states of the patients, and the video consultation mode can greatly save the time and energy of the patients and improve the diagnosis and treatment efficiency;
However, because the communication between the patient and the doctor depends on remote communication information, the doctor cannot intuitively obtain the severity of the patient's illness state, needs to listen to the description of the patient's illness state, has overlong description process, and for the elderly patient, because dialects or oral teeth are unclear, the communication information difference can be generated in the video communication, and the communication time can be increased;
In the prior art, the judgment of the disease severity of the patient depends on the expression of the patient and the on-site judgment of the doctor, and the doctor can carefully diagnose all patients in order to be responsible, so that excessive time is wasted on the patient with lighter disease, and the diagnosis of the patient with heavier disease is delayed.
Disclosure of Invention
Aiming at the problems that in the prior art, because the communication between a patient and a doctor depends on remote communication information, the doctor cannot intuitively obtain the severity of the illness state of the patient, the patient needs to listen to the description of the illness state, the description process is overlong, and for the old patient, because dialects or oral teeth are unclear, the communication information difference can be generated in the video communication, and the communication time can be increased;
In the prior art, the judgment of the disease severity of the patient depends on the expression of the patient and the on-site judgment of the doctor, and the doctor can carefully diagnose all patients for responsibility, so that excessive time is wasted on the patient with lighter disease and the diagnosis of the patient with heavier disease is delayed.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a remote consultation and receiving system based on internet 5G technology, comprising:
the system comprises an online consultation module, a video consultation module, an electronic medical record management module, an analysis module and a deployment module;
The online consultation module is used for collecting information input by a patient online, preparing an electronic medical record of the patient according to the information, and classifying the electronic medical record according to the disease condition;
The online consultation module, the video consultation module, the electronic medical record management module, the analysis module and the medicine distribution module are connected through internet communication;
the electronic medical record management module is used for judging whether the illness state of the electronic medical record of the patient in the online consultation module belongs to a severe patient, and specifically comprises the following steps:
Acquiring the total duration of the morbidity of the patient in each patient electronic medical record;
Setting an expected attack duration according to the type of the electronic medical record, marking the attack total duration as dangerous duration when the attack total duration is greater than the expected attack duration, performing difference calculation on the dangerous duration and the expected duration to obtain a duration difference value, and marking the obtained duration difference value as Q;
Obtaining the times of patient morbidity in the total duration of patient morbidity, calculating the difference value of the dates of two adjacent morbidity to obtain a morbidity interval, summing the morbidity interval and the times of morbidity, taking the average value to obtain an average morbidity interval, and marking the average morbidity interval as W;
According to the formula
Calculating to obtain a serious value E of the electronic medical record, wherein a1 and a2 are preset proportionality coefficients;
Setting a serious value threshold as R, comparing the serious value threshold with a serious value E, and if the serious value E is larger than or equal to the serious value threshold R, marking the electronic medical record as a fault medical record, and marking a patient corresponding to the electronic medical record as a severe patient;
The analysis module is used for prioritizing the inquiry of the fault medical record;
the allocation module is used for performing diagnosis of a doctor with optimal allocation of the fault medical record.
Preferably, the online consultation module further comprises a data acquisition unit and a database unit, wherein the data acquisition unit is used for acquiring the illness state information input by the patient online;
And comparing the illness state information with the database unit after acquiring the illness state information, identifying the type of the acquired illness state information, and manufacturing and acquiring the electronic medical record.
Preferably, the analysis module is configured to prioritize the inquiry of the faulty medical record, specifically:
acquiring the times of occurrence of the fault medical record in the period of occurrence of the disease, and marking the times as P;
obtaining the average morbidity interval of the fault medical record, and marking the average morbidity interval as T;
Obtaining a treatment value of the fault medical record, and marking the treatment value as F;
Using the formula
H=P×T×b1+F×b2
And obtaining a priority value H of the fault medical record, and sequencing the priority values of the fault medical record according to the order from large to small, wherein b1 and b2 are preset proportion coefficients.
Preferably, the treatment value of the fault medical record is obtained by the following steps:
the treatment times before the current time of the patient in the fault medical record are obtained and marked as G;
obtaining the treatment duration before the current time of the patient in the fault medical record, carrying out summation treatment and taking the average value, obtaining the average value of the treatment duration, and marking the average value as J;
According to the formula
T=G×J×k1
And calculating a treatment value T of the fault medical record, wherein k1 is a treatment value coefficient.
Preferably, the allocating module is configured to allocate an optimal doctor to the patient corresponding to the faulty medical record for performing a visit, specifically:
Obtaining the category range of the fault medical record in the database unit, obtaining an allocation range according to a preset range, and marking doctors in the allocation range as doctors to be allocated;
acquiring and obtaining a capability value of a doctor to be allocated, and marking the capability value as X;
Acquiring the current task quantity of a doctor to be allocated, and marking the current task quantity as V;
According to the formula
Calculating to obtain a blending value M of a doctor to be distributed, wherein c1, c2 and c3 are preset proportionality coefficients, selecting the doctor to be distributed with the largest blending value, and remotely checking through a video consultation module.
Preferably, the capability value X of the doctor to be assigned is obtained in the following manner, specifically;
obtaining the total working time length of doctors to be distributed and marking as N;
acquiring the number of times of visit of a doctor to be allocated, and marking the number as L;
According to the formula
X=N×d1+L×d2
Obtaining the capability value of the doctor to be allocated.
Preferably, the video consultation module comprises a video communication module and an information display module, and the video communication module is used for video call between a patient and a doctor.
Preferably, the information display module is used for patient disease information, and the disease information is sent to the computer terminal of the doctor to be allocated with the largest allocation value by the information display module.
Preferably, if the severity value E is less than the severity value threshold R, the electronic medical record is marked as a normal medical record, and the patient corresponding to the electronic medical record is marked as a normal patient.
Preferably, the doctor to be allocated with the smallest allocation value is allocated to other patients for diagnosis.
Compared with the prior art, the invention has the following beneficial effects:
1. The video of the electronic medical record management module can judge the severity of the illness state of the patient according to the kind of the illness state of the patient, the patient with serious illness state can be preferentially diagnosed, the priority of the patient to be diagnosed can be ordered through the analysis module, and a proper doctor can be preferentially allocated to the serious patient to be diagnosed.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
Referring to FIG. 1
Example 1
A remote consultation and receiving system based on internet 5G technology, comprising:
the system comprises an online consultation module, a video consultation module, an electronic medical record management module, an analysis module and a deployment module;
The online consultation module is used for collecting information input by a patient online, preparing an electronic medical record of the patient according to the information, and classifying the electronic medical record according to the disease condition;
the online consultation module, the video consultation module, the electronic medical record management module, the analysis module and the medicine distribution module are connected through internet communication;
the electronic medical record management module is used for judging whether the illness state of the electronic medical record of the patient in the online consultation module belongs to a severe patient, and specifically comprises the following steps:
acquiring the total duration of the morbidity of the patient in the electronic medical record of each patient;
Setting an expected attack duration according to the type of the electronic medical record, marking the attack total duration as dangerous duration when the attack total duration is greater than the expected attack duration, performing difference calculation on the dangerous duration and the expected duration to obtain a difference value of the durations, and marking the difference value as Q;
Obtaining the times of patient morbidity in the total duration of patient morbidity, calculating the difference value of the dates of two adjacent morbidity to obtain a morbidity interval, summing the morbidity interval and the times of morbidity, taking the average value to obtain an average morbidity interval, and marking the average morbidity interval as W;
According to the formula
Calculating to obtain a serious value E of the electronic medical record, wherein a1 and a2 are preset proportionality coefficients, and a1 and a2 are respectively 0.128 and 0.2383;
Setting a serious value threshold as R, comparing the serious value threshold with a serious value E, and if the serious value E is larger than or equal to the serious value threshold R, marking the electronic medical record as a fault medical record, and marking a patient corresponding to the electronic medical record as a severe patient;
the analysis module is used for sequencing the priority of the inquiry of the fault medical record;
the allocation module is used for performing diagnosis by a doctor with optimal allocation of the fault medical record;
The online consultation module also comprises a data acquisition unit and a database unit, wherein the data acquisition unit is used for acquiring the illness state information input by the patient online;
And comparing the illness state information with the database unit after acquiring the illness state information, identifying the type of the acquired illness state information, and manufacturing and acquiring the electronic medical record.
Example 2
On the basis of embodiment 1, the system further comprises an analysis module, specifically:
Acquiring the times of occurrence of the fault medical record in the period of occurrence of the fault, and marking the times as P;
obtaining average morbidity intervals of the obtained fault medical records, and marking the average morbidity intervals as T;
obtaining a treatment value of the obtained fault medical record and marking the treatment value as F;
Using the formula
H=P×T×b1+F×b2
Obtaining a priority value H of the fault medical record, and sequencing the priority values of the fault medical record according to the order from large to small, wherein b1 and b2 are preset proportion coefficients, and b1 and b2 are 0.283 and 0.358;
The treatment value of the fault medical record is obtained by the following steps:
the treatment times before the current time of the patient in the fault medical record are obtained and marked as G;
obtaining the treatment duration before the current time of the patient in the fault medical record, carrying out summation treatment and taking the average value, obtaining the average value of the treatment duration, and marking the average value as J;
According to the formula
T=G×J×k1
Calculating a treatment value T of the fault medical record, wherein k1 is a treatment value coefficient, and k1 is 0.685;
The allocation module is used for allocating the optimal doctor to the patient corresponding to the fault medical record for diagnosis, and specifically comprises the following steps:
Obtaining the category range of the fault medical record in the database unit, obtaining an allocation range according to a preset range, and marking doctors in the allocation range as doctors to be allocated;
acquiring and obtaining a capability value of a doctor to be allocated, and marking the capability value as X;
Acquiring the current task quantity of a doctor to be allocated, and marking the current task quantity as V;
According to the formula
Calculating to obtain a blending value M of a doctor to be distributed, wherein c1, c2 and c3 are preset proportionality coefficients, selecting the doctor to be distributed with the largest blending value, and remotely checking through a video consultation module, wherein c1, c2 and c3 are 0.1726, 0.2863 and 0.1827 respectively;
The capacity value X of the doctor to be allocated is obtained in the following manner, specifically;
obtaining the total working time length of doctors to be distributed and marking as N;
acquiring the number of times of visit of a doctor to be allocated, and marking the number as L;
According to the formula
X=N×d1+L×d2
Obtaining the capability value of a doctor to be allocated, wherein d1 is 0.2837, and d2 is 0.3862;
The video consultation module comprises a video communication module and an information display module, and the video communication module is used for video communication between a patient and a doctor;
The information display module is used for the illness state information of the patient, and the illness state information is sent to the computer terminal of the doctor to be allocated with the largest allocation value by the information display module;
If the serious value E is smaller than the serious value threshold R, marking the electronic medical record as a common medical record, and marking a patient corresponding to the electronic medical record as a common patient;
And the doctor to be allocated with the smallest allocation value is allocated to other patients for examination.
Working principle:
the video of the electronic medical record management module can judge the severity of the illness state of the patient according to the kind of the illness state of the patient, the patient with serious illness state can be preferentially diagnosed, the priority of the patient to be diagnosed can be ordered through the analysis module, and a proper doctor can be preferentially allocated to the serious patient to be diagnosed.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be considered as protecting the scope of the present template.

Claims (10)

1. A remote consultation and receiving system based on internet 5G technology, comprising:
the system comprises an online consultation module, a video consultation module, an electronic medical record management module, an analysis module and a deployment module;
The online consultation module is used for collecting information input by a patient online, preparing an electronic medical record of the patient according to the information, and classifying the electronic medical record according to the disease condition;
The online consultation module, the video consultation module, the electronic medical record management module, the analysis module and the medicine distribution module are connected through internet communication;
the electronic medical record management module is used for judging whether the illness state of the electronic medical record of the patient in the online consultation module belongs to a severe patient, and specifically comprises the following steps:
Acquiring the total duration of the morbidity of the patient in each patient electronic medical record;
Setting an expected attack duration according to the type of the electronic medical record, marking the attack total duration as dangerous duration when the attack total duration is greater than the expected attack duration, performing difference calculation on the dangerous duration and the expected duration to obtain a duration difference value, and marking the obtained duration difference value as Q;
Obtaining the times of patient morbidity in the total duration of patient morbidity, calculating the difference value of the dates of two adjacent morbidity to obtain a morbidity interval, summing the morbidity interval and the times of morbidity, taking the average value to obtain an average morbidity interval, and marking the average morbidity interval as W;
According to the formula
,
Calculating to obtain a serious value E of the electronic medical record, wherein a1 and a2 are preset proportionality coefficients;
Setting a serious value threshold as R, comparing the serious value threshold with a serious value E, and if the serious value E is larger than or equal to the serious value threshold R, marking the electronic medical record as a fault medical record, and marking a patient corresponding to the electronic medical record as a severe patient;
The analysis module is used for prioritizing the inquiry of the fault medical record;
the allocation module is used for performing diagnosis of a doctor with optimal allocation of the fault medical record.
2. The remote consultation and receiving system based on the internet 5G technology according to claim 1, wherein the on-line consultation module further comprises a data acquisition unit and a database unit, wherein the data acquisition unit is used for acquiring the illness state information input by the patient on line;
And comparing the illness state information with the database unit after acquiring the illness state information, identifying the type of the acquired illness state information, and manufacturing and acquiring the electronic medical record.
3. The remote diagnosis and reception system based on the internet 5G technology according to claim 2, wherein the analysis module is configured to prioritize the diagnosis of the faulty medical record, specifically:
acquiring the times of occurrence of the fault medical record in the period of occurrence of the disease, and marking the times as P;
obtaining the average morbidity interval of the fault medical record, and marking the average morbidity interval as T;
Obtaining a treatment value of the fault medical record, and marking the treatment value as F;
Using the formula
H=P×T×b1+F×b2,
And obtaining a priority value H of the fault medical record, and sequencing the priority values of the fault medical record according to the order from large to small, wherein b1 and b2 are preset proportion coefficients.
4. The remote diagnosis and reception system based on the internet 5G technology according to claim 3, wherein the treatment value of the fault medical record is obtained by the following steps:
the treatment times before the current time of the patient in the fault medical record are obtained and marked as G;
obtaining the treatment duration before the current time of the patient in the fault medical record, carrying out summation treatment and taking the average value, obtaining the average value of the treatment duration, and marking the average value as J;
According to the formula
T=G×J×k1,
And calculating to obtain a treatment value T of the fault medical record, wherein k1 is a treatment value coefficient.
5. The remote diagnosis and reception system based on the internet 5G technology according to claim 4, wherein the allocating module is configured to allocate an optimal doctor to the patient corresponding to the faulty medical record for diagnosis, specifically:
Obtaining the category range of the fault medical record in the database unit, obtaining an allocation range according to a preset range, and marking doctors in the allocation range as doctors to be allocated;
acquiring and obtaining a capability value of a doctor to be allocated, and marking the capability value as X;
Acquiring the current task quantity of a doctor to be allocated, and marking the current task quantity as V;
According to the formula
,
Calculating to obtain a blending value M of the doctor to be distributed, wherein c1, c2 and c3 are preset proportionality coefficients, selecting the doctor to be distributed with the largest blending value, and remotely checking through a video consultation module.
6. The remote consultation and receiving system based on the internet 5G technology according to claim 5, wherein the capability value X of the doctor to be assigned is obtained by the following method, specifically;
obtaining the total working time length of doctors to be distributed and marking as N;
acquiring the number of times of visit of a doctor to be allocated, and marking the number as L;
According to the formula
X=N×d1+L×d2,
Obtaining the capability value of the doctor to be allocated.
7. The system of claim 7, wherein the video consultation module comprises a video communication module and an information display module, wherein the video communication module is used for the video communication between the patient and the doctor.
8. The system for remote diagnosis and reception based on the internet 5G technology according to claim 8, wherein the information display module is used for patient condition information, and the condition information is sent to the computer terminal of the doctor to be allocated with the largest allocation value by the information display module.
9. The system for remote consultation and receiving based on the internet 5G technology according to claim 1, wherein if the severity value E is less than the severity value threshold R, the electronic medical record is marked as a normal medical record, and the patient corresponding to the electronic medical record is marked as a normal patient.
10. The system for remote consultation and receiving based on the internet 5G technology according to claim 5, wherein the doctor to be allocated with the smallest allocation value is allocated to the rest of patients for consultation.
CN202410222336.6A 2024-02-28 2024-02-28 Remote diagnosis and reception system technical field based on Internet 5G technology Pending CN117954072A (en)

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