Hospital and health supervision department linkage illegal medical supervision method based on artificial intelligence

Abstract

The invention discloses a hospital and health supervision department linkage illegal medicine supervision method based on artificial intelligence in the technical field of hospital supervision, and the method comprises the following steps: 1, creating an illegal medicine database based on artificial intelligence, and putting information of an employee with a certificate into the database in advance by a hospital, if someone is not in the database but appears in the jurisdiction range of the hospital, confirmation and comparison are carried out, whether the information belongs to illegal medical personnel information is pre-judged in advance, and information recording is carried out; 2, illegal medical personnel are recognized in time through face recognition, the activity range of the illegal medical personnel is strictly controlled, and face information input and identity verification are carried out through equipment such as a mobile law enforcement terminal; the illegal medical supervision method based on linkage of the hospital and the defense supervision department and based on artificial intelligence is reasonable in structural design, law enforcement can be carried out on illegal medical personnel at the first time after the illegal medical personnel appear, and the law enforcement efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital supervision, and in particular to an illegal medical practice supervision method based on artificial intelligence and the linkage between hospitals and health supervision departments. Background Art

[0002] Illegal medical practice refers to engaging in medical treatment activities without a medical practitioner's qualifications, including engaging in medical treatment activities in medical institutions and opening a business without authorization to engage in medical treatment activities. Practicing medicine with a medical practitioner's qualifications but without a business license does not fall under the term "illegal medical practice" as defined in this article. With the development of "Internet" technology, medical practice or medical behavior has gradually developed from traditional offline diagnosis and treatment to online, bringing changes to the medical system. Mobile medical care, which is a fusion of network information technology and biomedical technology, is infiltrating into people's lives with a new medical and health service model.

[0003] Hospitals are places where patients seek medical treatment. Illegal medical practitioners often appear in and around hospitals. Existing illegal medical practices are generally supervised by local health bureaus. However, since illegal medical practitioners have used the influence of hospitals to a certain extent, hospitals are also responsible for cooperating with administrative departments to monitor illegal medical practices. If any illegal behavior is found, it should be reported to the health department in a timely manner and administrative penalties should be imposed in accordance with the law. However, since the location and scope of activities of illegal medical practitioners in the region are unknown, they can only be known through reports from grassroots personnel, which has led to a decrease in the efficiency of law enforcement against illegal medical practitioners. For this reason, we propose an illegal medical practice supervision method based on artificial intelligence that combines hospitals and health supervision departments. Summary of the invention

[0004] The purpose of the present invention is to provide an illegal medical practice supervision method based on artificial intelligence, which is jointly implemented by hospitals and health supervision departments, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above purpose, the present invention provides the following technical solution: an illegal medical practice supervision method based on artificial intelligence and coordinated by hospitals and health supervision departments, comprising the following steps: Step 1: Create an illegal medical practice database based on artificial intelligence. The hospital will put the information of the licensed personnel it employs into the database in advance. If someone is not in the database but appears within the jurisdiction of the hospital, it will be confirmed and compared to predict in advance whether it is the information of illegal medical practitioners and collect the information; Step 2: Use facial recognition to promptly identify illegal medical practitioners and strictly control their activities. Use mobile law enforcement terminals and other devices to input facial information and verify their identities. Step 3: Cooperate with health supervision departments to record data through road surveillance cameras, and then upload the collected data to the illegal medical practice database for analysis. Enter the facial information of the verified illegal medical practitioners, display the geographical location of the illegal medical practitioners to the jurisdiction of the outlets, and mark and record them; Step 4: Link the illegal medical practice database with the public security and other departments, identify illegal medical practitioners in a timely manner through face recognition, and send the information of illegal medical practitioners to relevant departments; Step 5: Relevant department personnel shall report the illegal medical practice information to the local health supervision agency based on the regional location information of the illegal medical practitioners, register it in a special register, and feedback the tracking and monitoring results of the illegal medical practice points investigated in the area of ​​responsibility to the health supervision agency.

[0006] Preferably, the predictive analysis is used to predict the future behavior and scope of activities of illegal practitioners using time series analysis and forecasting models, ; у t : Represents the variable we want to predict at time t, such as the longitude and latitude of the illegal medical practitioner’s activity range or the number of illegal medical practices.

[0007] Х i1 t: represents the i-th exogenous variable at time t. These exogenous variables can be factors that affect the behavior of illegal medical practitioners, such as the population density of the region, the intensity of law enforcement, the distance to surrounding hospitals, etc.

[0008] p: autoregressive order, indicating that the prediction is made using information from the past p time points.

[0009] d: difference order, the number of differences required to make the non-stationary series stationary.

[0010] q: sliding average order, indicating that the past q prediction errors are used for prediction.

[0011] ∈ t : White noise sequence, representing the random part that cannot be explained by the model.

[0012] φ i : Autoregressive coefficient, which is used to measure the impact of past observations on current values.

[0013] θ j : Moving average coefficient, used to measure the impact of past forecast errors on current forecasts.

[0014] β i : The coefficient of the exogenous variable, which is used to measure the impact of the exogenous variable on the current value.

[0015] Preferably, the information of the licensed personnel is put into the database in advance as described in step 1. If someone is not in the database but appears within the jurisdiction of the hospital, confirmation and comparison must be made to predict in advance whether it is the information of illegal medical practitioners and collect the information. The health supervision department uses mobile law enforcement terminals and other equipment to enter facial information and verify identity. At the same time, the facial information of the verified illegal medical practitioners is entered, and an illegal medical practice "blacklist" database is established to realize the informatization of the investigation method of the qualifications and identity information of illegal medical practitioners, and improve the efficiency of the investigation of illegal medical practice cases.

[0016] Preferably, the area division jurisdiction described in step 2 displays the jurisdiction area of ​​the geographically located outlet and the jurisdiction areas of adjacent outlets surrounding the jurisdiction area of ​​the outlet, and divides a portion of the jurisdiction area of ​​the outlet and a portion of the jurisdiction area of ​​at least one adjacent outlet to form a jurisdiction area for the newly established outlet.

[0017] Preferably, the marking described in step 2 records the location and activity range of the illegal medical practitioners in the area, and the system provides a marking prompt.

[0018] Preferably, the road surveillance camera records data described in step three, and a medical and health credit information management system is established to set up monitoring sentinel points to timely summarize and report information on illegal medical practices, monitor illegal medical practices that have been investigated and dealt with, and promptly feedback the monitoring results. The health supervision sub-offices in each jurisdiction regularly report the results of illegal medical practice investigations and monitoring information to the municipal office. The municipal health supervision office establishes a database of illegal medical practice monitoring sentinel points to collect, summarize, and analyze the sentinel point monitoring information reported by each jurisdiction.

[0019] Preferably, the illegal medical practice database described in step 4 is synchronously linked with relevant departments, and with multiple departments such as the public security department, to promptly identify illegal medical practitioners through facial recognition.

[0020] Preferably, regularly inspect the illegal medical practice in the jurisdiction of the area, accept complaints and reports from the public, report the information of illegal medical practice to the health supervision agency in the jurisdiction in accordance with the prescribed content, procedures, methods and time limits, and register it in a special book, conduct a preliminary review of the information reported by the sentinel points in the jurisdiction of the area, inspect the illegal medical practice in the jurisdiction of the area at least once a month, assist the health supervision agency in investigating and punishing illegal medical practice, and promptly feedback the tracking and monitoring results of illegal medical practice points investigated and punished in the area of ​​responsibility to the health supervision agency.

[0021] Compared with the prior art, the beneficial effects of the present invention are: the illegal medical practice supervision method based on artificial intelligence, which is jointly operated by the hospital and the health supervision department, can timely identify illegal medical practitioners through face recognition, and strictly control the scope of activities of illegal medical practitioners, and perform face information entry and identity verification through mobile law enforcement terminals and other equipment. At the same time, the face information of verified illegal medical practitioners is entered, the jurisdiction area of ​​the geographical location of the illegal medical practitioners is displayed, and the geographical location of the illegal medical practitioners is displayed. The jurisdiction area of ​​the outlet is marked and recorded, and the illegal medical practice database is synchronously linked with the relevant departments. The personnel of the relevant departments go to the scene to verify and deal with the illegal medical practitioners according to the regional location information of the illegal medical practitioners, so that law enforcement can be carried out against the illegal medical practitioners as soon as possible after they appear, thereby improving the efficiency of law enforcement. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flow chart of an illegal medical practice supervision method based on artificial intelligence-based collaboration between hospitals and health supervision departments provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Embodiment 1:

[0025] See also Figure 1 The present invention provides a technical solution: a method for supervising illegal medical practice based on the linkage between hospitals and health supervision departments based on artificial intelligence, comprising the following steps: Step 1: Create an illegal medical practice database based on artificial intelligence. The hospital will put the information of the licensed personnel it employs into the database in advance. If someone is not in the database but appears within the jurisdiction of the hospital, it will be confirmed and compared to predict in advance whether it is the information of illegal medical practitioners and collect the information; Step 2: Use facial recognition to promptly identify illegal medical practitioners and strictly control their activities. Use mobile law enforcement terminals and other devices to input facial information and verify their identities. Step 3: Cooperate with health supervision departments to record data through road surveillance cameras, and then upload the collected data to the illegal medical practice database for analysis. Enter the facial information of the verified illegal medical practitioners, display the geographical location of the illegal medical practitioners to the jurisdiction of the outlets, and mark and record them; Step 4: Link the illegal medical practice database with the public security and other departments, identify illegal medical practitioners in a timely manner through face recognition, and send the information of illegal medical practitioners to relevant departments; Step 5: Relevant department personnel report the illegal medical practice information to the health supervision agency in the jurisdiction based on the regional location information of the illegal medical practitioners, register it in a special register, and feedback the tracking and monitoring results of the illegal medical practice sites investigated in the responsible area to the health supervision agency; Step 1 Predictive analysis: Time series analysis and forecasting models are used to predict the future behavior and scope of activities of illegal practitioners. ; у t : Represents the variable we want to predict at time t, such as the longitude and latitude of the illegal medical practitioner’s activity range or the number of illegal medical practices.

[0026] Х i1 t: represents the i-th exogenous variable at time t. These exogenous variables can be factors that affect the behavior of illegal medical practitioners, such as the population density of the region, the intensity of law enforcement, the distance to surrounding hospitals, etc.

[0027] p: autoregressive order, indicating that the prediction is made using information from the past p time points.

[0028] d: difference order, the number of differences required to make the non-stationary series stationary.

[0029] q: sliding average order, indicating that the past q prediction errors are used for prediction.

[0030] ∈ t : White noise sequence, representing the random part that cannot be explained by the model.

[0031] φ i : Autoregressive coefficient, which is used to measure the impact of past observations on current values.

[0032] θ j : Moving average coefficient, used to measure the impact of past forecast errors on current forecasts.

[0033] β i : The coefficient of the exogenous variable, which is used to measure the impact of the exogenous variable on the current value.

[0034] As mentioned in step 1, the information of licensed personnel is put into the database in advance. If someone is not in the database but is active in the hospital and nearby areas, confirmation and comparison must be made to predict in advance whether the information belongs to illegal medical practitioners and collect the information. Facial information is entered and identity verification is performed through mobile law enforcement terminals and other equipment. At the same time, facial information of verified illegal medical practitioners is entered, and a "blacklist" database for illegal medical practitioners is established to realize the informatization of the investigation methods of the qualifications and identity information of illegal medical practitioners, thereby improving the efficiency of investigation of illegal medical practice cases.

[0035] The area division jurisdiction described in step 2 displays the jurisdiction area of ​​the geographically located network point and the jurisdiction areas of the adjacent network points surrounding the jurisdiction area of ​​the network point, and divides part of the jurisdiction area of ​​the network point and part of the jurisdiction area of ​​at least one adjacent network point to form the jurisdiction area of ​​the newly established network point.

[0036] The marking described in step 2 records the location and activity range of the illegal medical practitioners in the area, and the system provides a marking prompt.

[0037] Through facial recognition, illegal medical practitioners are identified in a timely manner, and their scope of activities is strictly controlled. Facial information is entered and identity is verified through mobile law enforcement terminals and other equipment. At the same time, facial information of verified illegal medical practitioners is entered, the geographical location of the illegal medical practitioners is displayed, and the jurisdiction of the outlets is marked and recorded. The illegal medical practice database is synchronized with the relevant departments, and the relevant department personnel go to the scene to verify and handle the situation based on the regional location information of the illegal medical practitioners, so that law enforcement can be carried out against the illegal medical practitioners as soon as they appear, thereby improving the efficiency of law enforcement.

[0038] Embodiment 2:

[0039] See also Figure 1 The present invention provides a technical solution: a method for supervising illegal medical practice based on the linkage between hospitals and health supervision departments based on artificial intelligence, comprising the following steps: Step 1: Create an illegal medical practice database based on artificial intelligence. The hospital will put the information of the licensed personnel it employs into the database in advance. If someone is not in the database but appears within the jurisdiction of the hospital, it will be confirmed and compared to predict in advance whether it is the information of illegal medical practitioners and collect the information; Step 2: Use facial recognition to promptly identify illegal medical practitioners and strictly control their activities. Use mobile law enforcement terminals and other devices to input facial information and verify their identities. Step 3: Cooperate with health supervision departments to record data through road surveillance cameras, and then upload the collected data to the illegal medical practice database for analysis. Enter the facial information of the verified illegal medical practitioners, display the geographical location of the illegal medical practitioners to the jurisdiction of the outlets, and mark and record them; Step 4: Link the illegal medical practice database with the public security and other departments, identify illegal medical practitioners in a timely manner through face recognition, and send the information of illegal medical practitioners to relevant departments; Step 5: Relevant department personnel shall report the illegal medical practice information to the local health supervision agency based on the regional location information of the illegal medical practitioners, register it in a special register, and feedback the tracking and monitoring results of the illegal medical practice points investigated in the area of ​​responsibility to the health supervision agency.

[0040] The road surveillance cameras recorded data as described in step three. By establishing a medical and health credit information management system, monitoring sentinel points were set up to timely summarize and report information on illegal medical practices, and illegal medical practices that had been investigated and dealt with were monitored, and monitoring results were promptly fed back. The health supervision sub-offices in each jurisdiction regularly reported the results of illegal medical practice investigations and monitoring information to the municipal office. The municipal health supervision office established an illegal medical practice monitoring sentinel point database to collect, summarize, and analyze the sentinel point monitoring information reported by each jurisdiction.

[0041] The illegal medical practice database described in step 4 is linked synchronously with relevant departments and multiple departments such as the public security department to promptly identify illegal medical practitioners through facial recognition.

[0042] Regularly inspect the illegal medical practice in the jurisdiction of the area, accept complaints and reports from the public, report the information of illegal medical practice to the health supervision agency in the jurisdiction in accordance with the prescribed content, procedures, methods and time limits, and register it in a special register, conduct a preliminary review of the information reported by the sentinel points in the jurisdiction of the area, inspect the illegal medical practice in the jurisdiction of the area at least once a month, assist the health supervision agency in investigating and punishing illegal medical practice, and promptly feedback the tracking and monitoring results of illegal medical practice points investigated and punished in the area of ​​responsibility to the health supervision agency.

[0043] Local health, market supervision, public security, Internet information, hospitals and other departments at all levels should strengthen coordination and cooperation, strengthen information exchange and resource sharing, and discover and collect clues of illegal medical practice through reporting complaints, information monitoring, and departmental transfers. Local health departments at all levels should make the crackdown on illegal medical practice a normal task of medical supervision and law enforcement, continue to strengthen daily supervision and management and law enforcement, and always maintain a high-pressure situation to crack down on illegal medical practice. They should "investigate early and investigate small" and "strike as soon as they show up" for illegal medical practice. They should gradually improve the cross-regional administrative penalty information sharing mechanism, solve the problem of two administrative penalties in different places failing to be transferred to criminal responsibility in time, promptly report the progress of the crackdown on illegal medical practice, expose typical cases, and effectively deter lawbreakers and criminals.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0045] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for supervising illegal medical practice based on artificial intelligence, in which hospitals and health supervision departments work together, characterized in that: The steps include: Step 1: Create an illegal medical practice database based on artificial intelligence. The hospital will put the information of the licensed personnel it employs into the database in advance. If someone is not in the database but appears within the jurisdiction of the hospital, it will be confirmed and compared to predict in advance whether it is the information of illegal medical practitioners and collect the information; Step 2: Use facial recognition to promptly identify illegal medical practitioners and strictly control their activities. Use mobile law enforcement terminals and other devices to input facial information and verify their identities. Step 3: Cooperate with health supervision departments to record data through road surveillance cameras, and then upload the collected data to the illegal medical practice database for analysis. Enter the facial information of the verified illegal medical practitioners, display the geographical location of the illegal medical practitioners to the jurisdiction of the outlets, and mark and record them; Step 4: Link the illegal medical practice database with the public security and other departments, identify illegal medical practitioners in a timely manner through face recognition, and send the information of illegal medical practitioners to relevant departments; Step 5: Relevant department personnel shall report the illegal medical practice information to the local health supervision agency based on the regional location information of the illegal medical practitioners, register it in a special register, and feedback the tracking and monitoring results of the illegal medical practice points investigated in the area of ​​responsibility to the health supervision agency.

2. According to claim 1, a method for supervising illegal medical practice based on artificial intelligence and linkage between hospitals and health supervision departments, characterized in that: Predictive analytics Time series analysis and forecasting models used to predict the future behavior and scope of activities of illegal practitioners. ； у t : represents the variable we want to predict at time t, such as the longitude and latitude of the illegal medical practitioner's activity range or the number of illegal medical practices; Х i1 t: represents the i-th exogenous variable at time t. These exogenous variables can be factors that affect the behavior of illegal medical practitioners, such as regional population density, law enforcement strength, and the distance to surrounding hospitals; p: autoregressive order, indicating that the prediction is made using information from the past p time points; d: difference order, the number of differences required to stabilize the non-stationary series; q: sliding average order, indicating that the prediction is made using the past q prediction errors; ∈ t : White noise sequence, representing the random part that cannot be explained by the model; φ i : Autoregression coefficient, used to measure the impact of past observations on current values; θ j : Moving average coefficient, used to measure the impact of past forecast errors on current forecasts; β i : The coefficient of the exogenous variable, which is used to measure the impact of the exogenous variable on the current value.

3. According to claim 1, a method for supervising illegal medical practice based on the linkage between hospitals and health supervision departments based on artificial intelligence, characterized in that: As mentioned in step 1, the information of licensed personnel is put into the database in advance. If someone is not in the database but is practicing medicine, confirmation and comparison must be made to predict in advance whether the information belongs to illegal medical practitioners and collect the information. The health supervision department uses mobile law enforcement terminals and other equipment to enter facial information and verify their identities. At the same time, the facial information of verified illegal medical practitioners is entered, and a "blacklist" database for illegal medical practitioners is established to realize the informatization of the investigation methods of the qualifications and identity information of illegal medical practitioners, thereby improving the efficiency of investigating illegal medical practice cases.

4. According to claim 1, a method for supervising illegal medical practice based on artificial intelligence and linkage between hospitals and health supervision departments, characterized in that: The area division jurisdiction described in step 2 displays the jurisdiction area of ​​the geographically located network point and the jurisdiction areas of the adjacent network points surrounding the jurisdiction area of ​​the geographically located network point, and divides a part of the jurisdiction area of ​​the geographically located network point and a part of the jurisdiction area of ​​at least one adjacent network point to form a jurisdiction area of ​​the newly established network point.

5. According to claim 1, a method for supervising illegal medical practice based on artificial intelligence and linkage between hospitals and health supervision departments, characterized in that: The marking described in step 2 records the location and activity range of the illegal medical practitioners in the area, and the system provides a marking prompt.

6. According to claim 1, a method for supervising illegal medical practice based on artificial intelligence and linkage between hospitals and health supervision departments, characterized in that: The road surveillance cameras recorded data as described in step three, and through the medical and health credit information management system established by the health supervision department, monitoring sentinel points were set up to timely summarize and report information on illegal medical practices, and illegal medical practices that had been investigated and dealt with were monitored, and monitoring results were promptly fed back. The health supervision sub-offices in each jurisdiction regularly reported the results of illegal medical practice investigations and monitoring information to the municipal office. The municipal health supervision office established an illegal medical practice monitoring sentinel point database to collect, summarize and analyze the sentinel point monitoring information reported by each jurisdiction.

7. According to claim 1, a method for supervising illegal medical practice based on artificial intelligence and linkage between hospitals and health supervision departments, characterized in that: The illegal medical practice database described in step 4 is linked synchronously with relevant departments and multiple departments such as the public security department to promptly identify illegal medical practitioners through facial recognition.

8. According to claim 1, a method for supervising illegal medical practice based on artificial intelligence and linkage between hospitals and health supervision departments, characterized in that: The hospital regularly inspects illegal medical practices within the jurisdiction of the area, accepts complaints and reports from the public, reports information on illegal medical practices to the health supervision agency in the jurisdiction in accordance with the prescribed content, procedures, methods and time limits, and registers them in a special register. It conducts a preliminary review of the information reported by the sentinel points in the jurisdiction of the area, inspects illegal medical practices within the jurisdiction of the area at least once a month, assists health supervision agencies in investigating and punishing illegal medical practices, and promptly feeds back to the health supervision agency the tracking and monitoring results of illegal medical practices investigated and punished within the area of ​​responsibility.

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