Big data intelligent medical examination report analysis system based on 5G and Internet of Things

Abstract

The invention discloses a big data intelligent medical inspection report analysis system based on 5G and Internet of Things, and relates to the technical field of data processing, the system comprises a medical inspection report sample library module and a data terminal module, the medical inspection report sample library module is electrically connected with a central control module, and the central control module is electrically connected with a data processing module; the medical examination report sample library module is also used for storing a treatment scheme corresponding to an existing medical examination report, and the data terminal module is used for receiving analyzed data in the examination report analysis module. According to the invention, suggestions can be provided for a doctor and a patient according to the treatment scheme corresponding to the existing medical examination report based on big data collection, and when the patient registers a wrong department for the first triage, after the examination report is output, a correct department does not need to be selected in time for registration again for diagnosis and treatment; the time of a patient and the workload of a doctor are saved, and the medical diagnosis and treatment efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a big data-based smart medical test report analysis system based on 5G and the Internet of Things. Background Technology

[0002] Existing technologies address various aspects of the medical process, such as application number CN201510703489.3, which provides a method for synchronizing test reports from a medical LIS system and a front-end server. The method includes: refreshing the view at regular intervals... and synchronizing incremental files, along with corresponding patient and test numbers, to a cloud server using sockets combined with completion ports. This patent enables the sharing of test reports from all hospital LIS systems, providing a more convenient way for patient referrals and allowing patients to store and manage their own data.

[0003] Similar to the above application, the following shortcomings still exist:

[0004] In the actual process of seeing a doctor, patients are sometimes triaged to different departments based on their condition. However, sometimes it is necessary to rely on test results to determine which department the condition actually belongs to for diagnosis. In this case, the patient needs to go back to the first department where they registered, have the doctor review the test report, and then register for the department that matches the actual condition. Some of the test results will not be available for 2-4 days after the doctor issues the test order. This means that patients who need to return for a follow-up visit need to register again, which means queuing again, wasting time and delaying their treatment.

[0005] Therefore, in view of this, we have studied and improved the existing structure and its shortcomings, and proposed a big data-based smart medical test report analysis system based on 5G and the Internet of Things, in order to achieve a more practical value. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a big data-driven smart medical laboratory test report analysis system based on 5G and the Internet of Things, which solves the problems mentioned in the background section.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a big data-driven smart medical laboratory test report analysis system based on 5G and the Internet of Things, comprising a medical laboratory test report sample library module and a data terminal module. The medical laboratory test report sample library module is electrically connected to a central control module, and the module constructs a sample library based on existing medical laboratory test reports collected from big data. The module also stores treatment plans corresponding to existing medical laboratory test reports. The input terminal of the central control module is connected to a patient test information module, which receives input patient information and processes test reports. The patient test information module is electrically connected to a test report analysis module, which analyzes test reports. The test report analysis module is electrically connected to a 5G data relay module, which relays data. The data terminal module receives the analyzed data from the test report analysis module.

[0008] Furthermore, the medical test report sample library module includes a sample entry unit, a sample classification unit, and a sample storage unit. The sample entry unit is used to collect and enter existing medical test reports from the hospital, and the existing medical test reports are those with confirmed causes and conditions. The sample entry unit is electrically connected to the sample classification unit, and the sample classification unit is used to establish a sample data model from the test reports with confirmed causes and conditions entered by the sample entry unit. The output end of the sample classification unit is electrically connected to the sample storage unit, and the sample classification unit is used to store the sample data model.

[0009] Furthermore, the central control module is used to control the various modules in the system and the information transmission between the modules, and the central control module adopts an i5 processor.

[0010] Furthermore, the patient test information module includes a patient personal information input unit, a test report input unit, a test report modeling unit, and a model storage unit. The patient test information module is based on various hospital examination instruments. The patient personal information input unit inputs the patient's personal information, including name, age, gender, medical history, facial information, and contact information. The output of the test report input unit is electrically connected to the test report modeling unit, which is used to input test reports from various examination instruments into the system. The output of the test report input unit is electrically connected to the test report modeling unit, which is used to establish a test data model based on the test reports input by the test report input unit. The model storage unit is used to store the test data model.

[0011] Furthermore, the patient personal information entry unit collects the patient's facial information based on a camera and transmits the data through the Internet of Things.

[0012] Furthermore, the test report analysis module includes a test report comparison and classification unit and a test report sending unit. The test report classification unit is used to compare the sample data model stored in the sample storage unit and the test data model stored in the model storage unit. If the similarity between the sample data model and the test data model reaches more than 80%, a hybrid report is formed. The hybrid report includes the test report stored in the test report entry unit, the existing medical test report stored in the medical test report sample library module, and the treatment plan stored in the medical test report sample library module. If the similarity between the sample data model and the test data model is less than 85%, the test report stored in the test report entry unit is output. The output end of the test report comparison and classification unit is electrically connected to the test report sending unit, and the test report sending unit is used to receive data output from the test report comparison and classification unit and send the received data to the 5G data relay module.

[0013] Furthermore, the 5G data relay module processes data based on the 5G network.

[0014] Furthermore, the data terminal module includes a patient data terminal and a doctor data terminal. The patient data terminal is used to store test reports in the mixed report or test report entry unit transmitted by the patient through the 5G data relay module, and the doctor data terminal is used to store test reports in the mixed report or test report entry unit transmitted by the doctor through the 5G data relay module.

[0015] Furthermore, the patient data terminal is based on the patient's mobile APP terminal, while the doctor's data terminal uses a PC terminal.

[0016] This invention provides a big data-driven smart medical laboratory report analysis system based on 5G and the Internet of Things, which has the following beneficial effects:

[0017] It can provide suggestions to doctors and patients based on the treatment plans corresponding to existing medical test reports collected based on big data. When a patient registers for the wrong department during the first triage, they can choose the correct department and register again for treatment without having to go back for a follow-up visit after the test report comes out. This saves patients' time and doctors' workload, and improves the efficiency of medical diagnosis and treatment.

[0018] 1. This big data-driven smart medical laboratory test report analysis system based on 5G and IoT comprises a test report analysis module for analyzing test reports, a test report classification unit for comparing sample data models stored in the sample storage unit with test data models stored in the model storage unit, and a mixed report generated if the similarity between the sample data model and the test data model is above 80%. The mixed report includes test reports stored in the test report entry unit, existing medical test reports stored in the medical test report sample library module, and treatment plans stored in the medical test report sample library module. If the similarity between the sample data model and the test data model is below 85%, the test report stored in the test report entry unit is output. The test report sending unit receives data from the test report comparison classification unit and sends the received data to the 5G data relay module. After analyzing the test reports, the test report analysis module compares them with existing medical test reports stored in the medical test report sample library module through the test report comparison classification unit to draw conclusions.

[0019] 2. The system receives analyzed data from the test report analysis module via the data terminal module. The patient data terminal is used for test reports stored in the mixed report or test report entry unit transmitted by the patient through the G data transfer module, and the doctor data terminal is used for test reports stored in the mixed report or test report entry unit transmitted by the doctor through the G data transfer module. The patient data terminal is based on the patient's mobile APP terminal, while the doctor data terminal uses a PC terminal. The patient receives test reports stored in the test report entry unit and existing medical test reports stored in the medical test report sample library module through the patient data terminal. The patient can choose to continue to the department where they first visited for a follow-up visit or choose other departments that are suitable for their condition for diagnosis and treatment. The analysis by this system provides patients with a basis for judging their condition. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall process of the big data-driven smart medical test report analysis system based on 5G and the Internet of Things of the present invention.

[0021] In the diagram: 1. Medical test report sample library module; 101. Sample entry unit; 102. Sample classification unit; 103. Sample storage unit; 2. Central control module; 3. Patient test information module; 301. Patient personal information entry unit; 302. Test report entry unit; 303. Test report modeling unit; 304. Model storage unit; 4. Test report analysis module; 401. Test report comparison and classification unit; 402. Test report sending unit; 5. 5G data relay module; 6. Data terminal module; 601. Patient data terminal; 602. Doctor data terminal. Detailed Implementation

[0022] like Figure 1 As shown, the present invention provides a technical solution: a big data-based smart medical test report analysis system based on 5G and the Internet of Things, including a medical test report sample library module 1 and a data terminal module 6. The medical test report sample library module 1 is electrically connected to a central control module 2, and the medical test report sample library module 1 constructs a sample library based on big data collection of existing medical test reports. The medical test report sample library module 1 is also used to store treatment plans corresponding to existing medical test reports. The input end of the central control module 2 is connected to a patient test information module 3, and the patient test information module 3 is used to receive input patient information and process test reports. The patient test information module 3 is electrically connected to a test report analysis module 4, and the test report analysis module 4 is used to analyze test reports. The test report analysis module 4 is electrically connected to a 5G data relay module 5, and the 5G data relay module 5 is used for data relay. The data terminal module 6 is used to receive the analyzed data from the test report analysis module 4.

[0023] The medical test report sample library module 1 includes a sample entry unit 101, a sample classification unit 102, and a sample storage unit 103. The sample entry unit 101 is used to collect and enter existing medical test reports from the hospital. The existing medical test reports are those with confirmed causes and conditions. The sample entry unit 101 is electrically connected to the sample classification unit 102. The sample classification unit 102 is used to establish a sample data model from the test reports with confirmed causes and conditions entered by the sample entry unit 101. The output of the sample classification unit 102 is electrically connected to the sample storage unit 103. The sample classification unit 102 is used to store the sample data model.

[0024] The central control module 2 is used to control the various modules in the system and the information transmission between the modules, and the central control module 2 uses an i5 processor.

[0025] The patient laboratory information module 3 includes a patient personal information input unit 301, a laboratory report input unit 302, a laboratory report modeling unit 303, and a model storage unit 304. The patient laboratory information module 3 is based on various hospital examination instruments. The patient personal information input unit 301 inputs the patient's personal information, including name, age, gender, medical history, facial information, and contact information. The output of the laboratory report input unit 302 is electrically connected to the laboratory report input unit 302, which is used to input laboratory reports obtained from various examination instruments into the system. The output of the laboratory report input unit 302 is electrically connected to the laboratory report modeling unit 303, which is used to establish a laboratory data model based on the laboratory reports input by the laboratory report input unit 302. The model storage unit 304 is used to store the laboratory data model.

[0026] The patient personal information entry unit 301 collects the patient's facial information based on a camera and transmits the data through the Internet of Things.

[0027] The test report analysis module 4 includes a test report comparison and classification unit 401 and a test report sending unit 402. The test report classification unit 401 is used to compare the sample data model stored in the sample storage unit 103 and the test data model stored in the model storage unit 304. If the similarity between the sample data model and the test data model reaches more than 80%, a mixed report is formed. The mixed report includes the test report stored in the test report entry unit 302, the existing medical test reports stored in the medical test report sample library module 1, and the treatment plan stored in the medical test report sample library module 1. If the similarity between the sample data model and the test data model is less than 85%, the test report stored in the test report entry unit 302 is output. The output end of the test report comparison and classification unit 401 is electrically connected to the test report sending unit 402. The test report sending unit 402 is used to receive the data output from the test report comparison and classification unit 401 and send the received data to the 5G data relay module 5.

[0028] The 5G data relay module 5 processes data based on the 5G network.

[0029] The data terminal module 6 includes a patient data terminal 601 and a doctor data terminal 602. The patient data terminal 601 is used for the test report stored in the mixed report or test report entry unit 302 transmitted by the patient through the 5G data relay module 5, and the doctor data terminal 602 is used for the test report stored in the mixed report or test report entry unit 302 transmitted by the doctor through the 5G data relay module 5.

[0030] The patient data terminal 601 is based on the patient's mobile APP terminal, while the doctor data terminal 602 uses a PC terminal.

[0031] In summary, as Figure 1 As shown, the specific usage process of this big data-driven smart medical test report analysis system based on 5G and the Internet of Things is as follows:

[0032] First, the medical test report sample library module 1 collects existing medical test reports based on big data to build a sample library. The medical test report sample library module 1 also stores the treatment plans corresponding to the existing medical test reports. The sample entry unit 101 collects and enters the existing medical test reports from the hospital. The existing medical test reports are those with confirmed causes and conditions. The sample classification unit 102 is used to build a sample data model from the test reports with confirmed causes and conditions entered by the sample entry unit 101. The sample classification unit 102 is used to store the sample data model.

[0033] The patient test information module 3 receives input patient information and processes test reports. The patient test information module 3 is based on various hospital examination instruments. The patient personal information input unit 301 inputs the patient's personal information, which includes name, age, gender, medical history, facial information, and contact information. The test report input unit 302 is used to input the test reports obtained from various examination instruments into the system. The test report modeling unit 303 is used to build a test data model for the test reports input by the test report input unit 302. The model storage unit 304 is used to store the test data model. The patient personal information input unit 301 collects the patient's facial information based on a camera and transmits the data through the Internet of Things.

[0034] The test report analysis module 4 is used to analyze the test report. The test report classification unit 401 is used to compare the sample data model stored in the sample storage unit 103 and the test data model stored in the model storage unit 304. If the similarity between the sample data model and the test data model reaches more than 80%, a mixed report is formed. The mixed report includes the test report stored in the test report entry unit 302, the existing medical test reports stored in the medical test report sample library module 1, and the treatment plan stored in the medical test report sample library module 1. If the similarity between the sample data model and the test data model is less than 85%, the test report stored in the test report entry unit 302 is output. The test report sending unit 402 is used to receive the data output from the test report comparison classification unit 401 and send the received data to the 5G data relay module 5. After analyzing the test report, the test report analysis module 4 compares it with the existing medical test reports stored in the medical test report sample library module 1 through the test report comparison classification unit 401 to draw a conclusion.

[0035] The 5G data relay module 5 is used for data relay. The information transmission between the modules in the system is controlled by the central control module 2. The 5G data relay module 5 processes the data based on the 5G network.

[0036] The data terminal module 6 receives the analyzed data from the test report analysis module 4. The patient data terminal 601 is used for the mixed report or test report form stored in the test report form entry unit 302 transmitted by the patient through the 5G data relay module 5. The doctor data terminal 602 is used for the mixed report or test report form stored in the test report form entry unit 302 transmitted by the doctor through the 5G data relay module 5. The patient data terminal 601 is based on the patient's mobile APP terminal, while the doctor data terminal 602 uses a PC terminal. The patient receives the test report form stored in the test report form entry unit 302 and the existing medical test report form stored in the medical test report sample library module 1 through the patient data terminal 601. The patient can choose to continue to see the department where they first visited for a follow-up visit or choose other departments that are suitable for their condition for diagnosis and treatment. The analysis of this system provides patients with a basis for judging their condition.

Claims

1. A big data intelligent medical examination report analysis system based on 5G and Internet of Things, comprising a medical examination report sample library module (1) and a data terminal module (6), characterized in that: The medical test report sample library module (1) is electrically connected to the central control module (2), and the medical test report sample library module (1) is constructed based on big data collection of existing medical test reports. The medical test report sample library module (1) is also used to store the treatment plan corresponding to the existing medical test reports. The input end of the central control module (2) is connected to the patient test information module (3), and the patient test information module (3) is used to receive the input patient information and process the test report. The patient test information module (3) is electrically connected to the test report analysis module (4), and the test report analysis module (4) is used to analyze the test report. The test report analysis module (4) is electrically connected to the 5G data relay module (5), and the 5G data relay module (5) is used for data relay. The data terminal module (6) is used to receive the data analyzed in the test report analysis module (4). 2.The 5G and Internet of Things (IoT) based big data smart medical examination report analysis system according to claim 1, wherein: The medical test report sample library module (1) includes a sample entry unit (101), a sample classification unit (102), and a sample storage unit (103). The sample entry unit (101) is used to collect and enter existing medical test reports from the hospital. The existing medical test reports are test reports with confirmed causes and conditions. The sample entry unit (101) is electrically connected to the sample classification unit (102). The sample classification unit (102) is used to establish a sample data model from the test reports with confirmed causes and conditions entered by the sample entry unit (101). The output end of the sample classification unit (102) is electrically connected to the sample storage unit (103). The sample classification unit (102) is used to store the sample data model. 3.The 5G and Internet of Things (IoT) based big data smart medical examination report analysis system of claim 1, wherein: The central control module (2) is used to control the modules in the system and the information transmission between the modules, and the central control module (2) adopts an i5 processor.

4. The big data-driven smart medical laboratory test report analysis system based on 5G and the Internet of Things as described in claim 1, characterized in that: The patient test information module (3) includes a patient personal information input unit (301), a test report input unit (302), a test report modeling unit (303), and a model storage unit (304). The patient test information module (3) is based on various examination instruments of the hospital. The patient personal information input unit (301) inputs the patient's personal information, which includes name, age, gender, medical history, facial information, and contact information. The output end of the test report input unit (302) is electrically connected to the test report input unit (302), and the test report input unit (302) is used to input the test reports obtained from various examination instruments into the system. The output end of the test report input unit (302) is electrically connected to the test report modeling unit (303), and the test report modeling unit (303) is used to establish a test data model for the test reports input by the test report input unit (302). The model storage unit (304) is used to store the test data model.

5. The big data-driven smart medical laboratory test report analysis system based on 5G and the Internet of Things as described in claim 4, characterized in that: The patient personal information entry unit (301) collects the patient's facial information based on a camera and transmits the data through the Internet of Things. 6.The 5G and Internet of Things (IoT) based big data smart healthcare test report analysis system of claim 1, wherein: The test report analysis module (4) includes a test report comparison and classification unit (401) and a test report sending unit (402). The test report classification unit (401) is used to compare the sample data model stored in the sample storage unit (103) and the test data model stored in the model storage unit (304). If the similarity between the sample data model and the test data model reaches more than 80%, a mixed report is formed. The mixed report includes the test report form stored in the test report form entry unit (302) and the medical test report sample library module (1). The existing medical test reports and treatment plans stored in the medical test report sample library module (1) are used to output the test report stored in the test report entry unit (302) if the similarity between the sample data model and the test data model is less than 85%. The output terminal of the test report comparison and classification unit (401) is electrically connected to the test report sending unit (402), and the test report sending unit (402) is used to receive the data output from the test report comparison and classification unit (401) and send the received data to the 5G data relay module (5). 7.The 5G and IoT-based big data smart medical examination report analysis system of claim 1, wherein: The 5G data relay module (5) processes data based on the 5G network. 8.The 5G and IoT-based big data smart medical examination report analysis system of claim 1, wherein: The data terminal module (6) includes a patient data terminal (601) and a doctor data terminal (602). The patient data terminal (601) is used to store the test report in the mixed report or test report entry unit (302) transmitted by the patient through the 5G data relay module (5), and the doctor data terminal (602) is used to store the test report in the mixed report or test report entry unit (302) transmitted by the doctor through the 5G data relay module (5). 9.The 5G and Internet of Things (IoT) based big data smart healthcare test report analysis system of claim 8, wherein: The patient data terminal (601) is based on the patient's mobile APP terminal, and the doctor data terminal (602) adopts a PC terminal.

Images