Medical supervision system and method for intelligent data sorting management and control

Abstract

The invention discloses a medical supervision system and method for intelligent data sorting management and control, and relates to the technical field of medical data sorting. Medical data packets of data ports in a medical system are captured in real time; performing periodic active index analysis on each port based on the port data packet information, and performing comprehensive data sorting evaluation on the ports based on analysis data; performing correlation analysis on the data of each port in the period to determine the data matching correlation degree between the corresponding ports, and analyzing the data sorting confidence degree between the ports in combination with the matching correlation degree; sorting and storing the port data of the medical system in the period, and outputting the data matching association degree information and the data sorting confidence degree between the ports; according to the medical data sorting system and method, automatic sorting and process management and control of the medical data are achieved, the efficiency and error rate of traditional data sorting are improved, and the intelligence of medical data sorting is improved.

Description

Technical Field

[0001] The present invention relates to the field of medical data sorting, and in particular to a medical supervision system and method for intelligent data sorting control. Background Art

[0002] Medical data sorting is a key link in medical information management. It refers to the process of classifying and organizing a large amount of complex medical data according to specific rules, standards or purposes. It aims to make medical data clear and organized, thereby effectively supporting the optimization of medical quality control and the smooth operation of medical services. At this stage, a large amount of medical data is produced every moment in the medical system, which results in a large number of overall medical data types and data confusion, and there are great obstacles to data governance and utilization. Through data sorting, the data is processed in a clear and organized manner, classified and summarized, and processed in a regular manner. However, at present, the sorting and processing of medical data is mostly manual sorting combined with simple machine regular classification, which has low efficiency and large accuracy errors in medical data sorting. It lacks effective control measures for medical data sorting and cannot accurately feedback the sorting status of medical data. Summary of the invention

[0003] The purpose of the present invention is to provide a medical supervision system and method for intelligent data sorting and control to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions: A medical supervision method for intelligent data sorting control, the method comprising the following steps: S100, real-time capture of medical data packets from data ports in the medical system; S200, performing periodic activity index analysis on each port based on the port data packet information, and performing comprehensive data sorting and evaluation on the port based on the analysis data; S300, performing correlation analysis on the data of each port within the cycle to determine the data matching correlation between the corresponding ports, and analyzing the data sorting confidence between the ports based on the matching correlation; S400, sorting and storing the medical system port data within the cycle, and outputting the data matching correlation information and data sorting confidence between the ports.

[0005] The specific steps of S100 are as follows: S101, by arranging a visualization port platform and connecting the platform to the hospital local area network, capturing the data port of the hospital local area network; assigning an identity to the captured port; the visualization port platform is used to capture data from the port generating data in the target network; S102. Synchronously update and display the captured hospital local area network ports in the visualization port platform, acquire real-time data for each port, and mark timestamps to construct time series data corresponding to each port.

[0006] The specific steps of S200 are as follows: S201, respectively retrieve the time series data of each port, and intercept the periodic data of the time series data of each port by setting the observation period; perform activity index analysis on the current period port based on the port periodic data, and the calculation formula is: ; Among them, AC(n) corresponds to the periodic activity index of the port with identification number n; t(n) corresponds to the data output duration of the port with identification number n in the period; m(n) is the amount of data output in the period corresponding to the port with identification number n; T is the observation period duration; M is the maximum value of the historical periodic data output of the port in the medical system; n is the port identification number; S202, based on the port identifier, retrieve the historical sorting data of the corresponding port, obtain the historical periodic data sorting index of the corresponding port, and evaluate the periodic data sorting status in combination with the periodic activity index analysis data of the corresponding port. The calculation formula is: ; Among them, F(n) corresponds to the periodic data sorting status score of the port with identification number n; P(n) corresponds to the mean sorting accuracy of the historical periodic data of the port with identification number n; R(n) corresponds to the mean sorting recall rate of the historical periodic data of the port with identification number n; the port historical sorting data is the sorting data of each periodic data of the corresponding port history; the historical periodic data sorting index includes the sorting accuracy and recall rate corresponding to each periodic data of the port history; accuracy refers to the proportion of samples that are actually correct among all samples detected as correct; recall rate refers to the proportion of samples that are correctly detected as correct among all samples that are actually correct.

[0007] The specific steps of S300 are as follows: S301, retrieve the periodic data corresponding to each port in the current real-time cycle; perform data integration processing based on the periodic data of each port, perform discrete data integration with the corresponding periodic time point as the reference point, and construct a periodic data set for the corresponding port; wherein the discrete data integration is in the port periodic data, with the data corresponding to each time point as the target set element, sorting according to the time generation scale, and performing element integration on the sorted data to construct a periodic data set; perform data association analysis on the periodic data sets of any two ports; perform data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; wherein the calculation formula for the data common support of the periodic data set between any two ports is ; Among them, Sp(i∪j) is the common support of the periodic data set corresponding to any port with identity i and j; m(i) is the number of periodic data sets corresponding to the port with identity i; m(j) is the number of periodic data sets corresponding to the port with identity j; ma is the total number of port data output in the medical system in the current cycle; The calculation formula for the data cross support of the periodic data set between any two ports is: ; Wherein, Sp(i∩j) is the data cross support of the periodic data set of any port corresponding to the identity i and j; m(i∩j) is the number of data with associated cross in the periodic data set of any port corresponding to the identity i and j; i and j are the identity of any two ends, and their value range is [1, n]; wherein, whether there is associated cross data in the periodic data set between any two ports is analyzed based on the data feature similarity calculation; in the periodic data set of any two ports, each data in the periodic data set of a port is used as the similarity analysis object to perform full traversal similarity calculation with each data in the periodic data set of another port; by setting the similarity association judgment value, the data similarity analysis data in the periodic data sets of the two ports is associated and judged, and the data with association is identified and counted; Based on the periodic data set between any two ports, data support analysis is performed, and data matching correlation analysis is performed between any two ports. The calculation formula is: ; Wherein, K(i,j) is the periodic data matching correlation degree between the ports corresponding to any identity identifier i and j; F(i) is the periodic data sorting status score of the port corresponding to the identity identifier i; F(j) is the periodic data sorting status score of the port corresponding to the identity identifier j; S302, based on the support analysis data of the periodic data set of any two ports, perform comprehensive data sorting processing on each port; extract the associated cross data existing in the periodic data set of any two ports and construct an associated database corresponding to the current two ports, and extract the unassociated cross data in the periodic data set of the current two ports to construct a non-associated storage database of the current two ports, and establish a mutual access connection channel between the associated database and the non-associated storage database of the current two ports; Based on the comprehensive data sorting processing of each port, the confidence of the comprehensive sorting processing of port data in the medical system in the current cycle is analyzed, and the calculation formula is: ; Among them, CH is the comprehensive sorting and processing confidence of port data in the medical system in the current cycle; i and j are not equal; According to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, the comprehensive sorting processing confidence of the port data in the medical system in the current cycle is determined by setting up confidence level intervals; based on the sorting processing confidence level, the corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with low credit.

[0008] The steps of S400 are as follows: S401, sorting, processing and storing the data of each port of the medical system within the period; S402. Output the activity index of each port, the periodic data sorting status score, the data matching correlation information between ports and the data sorting confidence through the visual port platform, and issue an abnormal prompt for the low-credit sorting data.

[0009] A medical supervision system with intelligent data sorting control, the system comprising a port data capture module, a port status analysis module, a port data sorting analysis module and a comprehensive sorting feedback module; The port data capture module captures the medical data packets of the data ports in the medical system in real time; the port status analysis module performs a periodic activity index analysis on each port based on the port data packet information, and performs a comprehensive data sorting evaluation on the port based on the analysis data; the port data sorting analysis module performs a correlation analysis on the data of each port within the period to determine the data matching correlation between the corresponding ports, and analyzes the data sorting confidence between the ports based on the matching correlation; the comprehensive sorting feedback module sorts and stores the port data of the medical system within the period, and outputs the data matching correlation information and data sorting confidence between the ports.

[0010] The port data capture module includes a port visualization unit and a port data capture unit; The port visualization unit captures the data ports of the hospital local area network by arranging a visualization port platform and connecting the platform to the hospital local area network; and assigns identity tags to the captured ports; The port data capture unit updates and displays the captured hospital local area network ports in a visualized port platform, acquires real-time data from each port, and marks timestamps to construct time series data corresponding to each port.

[0011] The port status analysis module includes a port cycle activity analysis unit and a port cycle data sorting and evaluation unit; The port periodic activity analysis unit retrieves the time series data of each port respectively, and intercepts the periodic data of the time series data of each port by setting an observation period; and performs activity index analysis on the current periodic port based on the port periodic data; The port periodic data sorting evaluation unit retrieves the historical sorting data of the corresponding port based on the port identifier, obtains the historical periodic data sorting index of the corresponding port, and evaluates the periodic data sorting status in combination with the periodic activity index analysis data of the corresponding port; the port historical sorting data is the sorting data of each historical periodic data of the corresponding port; the historical periodic data sorting index includes the sorting accuracy and recall rate corresponding to each historical periodic data of the port.

[0012] The port data sorting and analysis module includes a port matching association analysis unit and a port data sorting confidence analysis unit; The port matching association analysis unit retrieves the periodic data corresponding to each port in the current real-time cycle; performs data integration processing based on the periodic data of each port, performs discrete data integration with the corresponding periodic time point as a reference point, and constructs a periodic data set of the corresponding port; performs data association analysis on the periodic data sets of any two ports; performs data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; performs data support analysis data based on the periodic data sets between any two ports, and performs data matching association analysis between any two ports; The port data sorting confidence analysis unit performs comprehensive data sorting processing on each port based on the support analysis data of the periodic data set of any two ports; extracts the associated cross data existing in the periodic data set of any two ports and constructs an associated database corresponding to the current two ports, and extracts the unassociated cross data in the periodic data set of the current two ports to construct a non-associated storage database of the current two ports, and establishes a mutual access connection channel between the associated database and the non-associated storage database of the current two ports; performs comprehensive data sorting processing based on each port, and analyzes the comprehensive sorting processing confidence of the port data in the medical system within the current cycle; according to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, by setting up a confidence level interval, the comprehensive sorting processing confidence of the port data in the medical system in the current cycle is determined at a level; based on the sorting processing confidence level, a corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with a low credit.

[0013] The comprehensive sorting feedback module includes a port data processing unit and a port data feedback unit; The port data processing unit performs sorting, processing and storage operations on the data of each port of the medical system within the cycle; The port data feedback unit outputs the activity index of each port, the periodic data sorting status score, the data matching correlation information between ports and the data sorting confidence through the visual port platform, and issues an abnormal prompt for low-credit sorting data.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes effective supervision of the data output ports in the medical system by arranging a visual port platform, realizes port data collection, port status evaluation, port data association analysis, data sorting processing and port data sorting confidence analysis, and finally gives feedback results to complete the data analysis and control of the medical data sorting process; the sorting status evaluation of the periodic port is realized by analyzing the port activity; the data is sorted by analyzing the port data association, and the judgment status of the sorted data is determined by analyzing the sorting confidence; the present invention realizes the association sorting and confidence analysis of medical data by comprehensive processing and analysis of medical data, realizes the automatic sorting and process control of medical data, improves the efficiency and error rate of traditional data sorting, and improves the intelligence of medical data sorting. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the structure of a medical supervision system for intelligent data sorting and control according to the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] Example: Figure 1 As shown, the present invention provides a technical solution: A medical supervision method for intelligent data sorting control, the method comprising the following steps: S100, real-time capture of medical data packets from data ports in the medical system; S200, performing periodic activity index analysis on each port based on the port data packet information, and performing comprehensive data sorting and evaluation on the port based on the analysis data; S300, performing correlation analysis on the data of each port within the cycle to determine the data matching correlation between the corresponding ports, and analyzing the data sorting confidence between the ports based on the matching correlation; S400, sorting and storing the medical system port data within the cycle, and outputting the data matching correlation information and data sorting confidence between the ports.

[0018] The specific steps of S100 are as follows: S101, by arranging a visualization port platform and connecting the platform to the hospital local area network, capturing the data port of the hospital local area network; and assigning an identity to the captured port; S102. Synchronously update and display the captured hospital local area network ports in the visualization port platform, acquire real-time data for each port, and mark timestamps to construct time series data corresponding to each port.

[0019] The specific steps of S200 are as follows: S201, respectively retrieve the time series data of each port, and intercept the periodic data of the time series data of each port by setting the observation period; perform activity index analysis on the current period port based on the port periodic data, and the calculation formula is: ; Among them, AC(n) corresponds to the periodic activity index of the port with identification number n; t(n) corresponds to the data output duration of the port with identification number n in the period; m(n) is the amount of data output in the period corresponding to the port with identification number n; T is the observation period duration; M is the maximum value of the historical periodic data output of the port in the medical system; n is the port identification number; S202, based on the port identifier, retrieve the historical sorting data of the corresponding port, obtain the historical periodic data sorting index of the corresponding port, and evaluate the periodic data sorting status in combination with the periodic activity index analysis data of the corresponding port. The calculation formula is: ; Among them, F(n) corresponds to the sorting status score of the periodic data of the port with identification number n; P(n) corresponds to the mean sorting accuracy of the historical periodic data of the port with identification number n; R(n) corresponds to the mean sorting recall rate of the historical periodic data of the port with identification number n; the port historical sorting data is the sorting data of each historical periodic data of the corresponding port; the historical periodic data sorting index includes the sorting accuracy and recall rate corresponding to each historical periodic data of the port.

[0020] The specific steps of S300 are as follows: S301, retrieve the periodic data corresponding to each port in the current real-time cycle; perform data integration processing based on the periodic data of each port, perform discrete data integration with the corresponding periodic time point as the reference point, and construct the periodic data set of the corresponding port; perform data association analysis on the periodic data sets of any two ports; perform data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; wherein the calculation formula for the data common support of the periodic data set between any two ports is ; Among them, Sp(i∪j) is the common support of the periodic data set corresponding to any port with identity i and j; m(i) is the number of periodic data sets corresponding to the port with identity i; m(j) is the number of periodic data sets corresponding to the port with identity j; ma is the total number of port data output in the medical system in the current cycle; The calculation formula for the data cross support of the periodic data set between any two ports is: ; Wherein, Sp(i∩j) is the data cross support of the periodic data set of any port corresponding to the identity i and j; m(i∩j) is the number of data with associated crosses in the periodic data set of any port corresponding to the identity i and j; i and j are the identity of any two ends, and their value range is [1, n]; Based on the periodic data set between any two ports, data support analysis is performed, and data matching correlation analysis is performed between any two ports. The calculation formula is: ; Wherein, K(i,j) is the periodic data matching correlation degree between the ports corresponding to any identity identifier i and j; F(i) is the periodic data sorting status score of the port corresponding to the identity identifier i; F(j) is the periodic data sorting status score of the port corresponding to the identity identifier j; S302, based on the support analysis data of the periodic data set of any two ports, perform comprehensive data sorting processing on each port; extract the associated cross data existing in the periodic data set of any two ports and construct an associated database corresponding to the current two ports, and extract the unassociated cross data in the periodic data set of the current two ports to construct a non-associated storage database of the current two ports, and establish a mutual access connection channel between the associated database and the non-associated storage database of the current two ports; Based on the comprehensive data sorting processing of each port, the confidence of the comprehensive sorting processing of port data in the medical system in the current cycle is analyzed, and the calculation formula is: ; Among them, CH is the comprehensive sorting and processing confidence of port data in the medical system in the current cycle; i and j are not equal; According to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, the comprehensive sorting processing confidence of the port data in the medical system in the current cycle is determined by setting up confidence level intervals; based on the sorting processing confidence level, the corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with low credit.

[0021] The steps of S400 are as follows: S401, sorting, processing and storing the data of each port of the medical system within the period; S402. Output the activity index of each port, the periodic data sorting status score, the data matching correlation information between ports and the data sorting confidence through the visual port platform, and issue an abnormal prompt for the low-credit sorting data.

[0022] A medical supervision system with intelligent data sorting control, the system comprising a port data capture module, a port status analysis module, a port data sorting analysis module and a comprehensive sorting feedback module; The port data capture module captures the medical data packets of the data ports in the medical system in real time; the port status analysis module performs a periodic activity index analysis on each port based on the port data packet information, and performs a comprehensive data sorting evaluation on the port based on the analysis data; the port data sorting analysis module performs a correlation analysis on the data of each port within the period to determine the data matching correlation between the corresponding ports, and analyzes the data sorting confidence between the ports based on the matching correlation; the comprehensive sorting feedback module sorts and stores the port data of the medical system within the period, and outputs the data matching correlation information and data sorting confidence between the ports.

[0023] The port data capture module includes a port visualization unit and a port data capture unit; The port visualization unit captures the data ports of the hospital local area network by arranging a visualization port platform and connecting the platform to the hospital local area network; and assigns identity tags to the captured ports; The port data capture unit updates and displays the captured hospital local area network ports in a visualized port platform, acquires real-time data from each port, and marks timestamps to construct time series data corresponding to each port.

[0024] The port status analysis module includes a port cycle activity analysis unit and a port cycle data sorting and evaluation unit; The port periodic activity analysis unit retrieves the time series data of each port respectively, and intercepts the periodic data of the time series data of each port by setting an observation period; and performs activity index analysis on the current periodic port based on the port periodic data; The port periodic data sorting evaluation unit retrieves the historical sorting data of the corresponding port based on the port identifier, obtains the historical periodic data sorting index of the corresponding port, and evaluates the periodic data sorting status in combination with the periodic activity index analysis data of the corresponding port; the port historical sorting data is the sorting data of each historical periodic data of the corresponding port; the historical periodic data sorting index includes the sorting accuracy and recall rate corresponding to each historical periodic data of the port.

[0025] The port data sorting and analysis module includes a port matching association analysis unit and a port data sorting confidence analysis unit; The port matching association analysis unit retrieves the periodic data corresponding to each port in the current real-time cycle; performs data integration processing based on the periodic data of each port, performs discrete data integration with the corresponding periodic time point as a reference point, and constructs a periodic data set of the corresponding port; performs data association analysis on the periodic data sets of any two ports; performs data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; performs data support analysis data based on the periodic data sets between any two ports, and performs data matching association analysis between any two ports; The port data sorting confidence analysis unit performs comprehensive data sorting processing on each port based on the support analysis data of the periodic data set of any two ports; extracts the associated cross data existing in the periodic data set of any two ports and constructs an associated database corresponding to the current two ports, and extracts the unassociated cross data in the periodic data set of the current two ports to construct a non-associated storage database of the current two ports, and establishes a mutual access connection channel between the associated database and the non-associated storage database of the current two ports; performs comprehensive data sorting processing based on each port, and analyzes the comprehensive sorting processing confidence of the port data in the medical system within the current cycle; according to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, by setting up a confidence level interval, the comprehensive sorting processing confidence of the port data in the medical system in the current cycle is determined at a level; based on the sorting processing confidence level, a corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with a low credit.

[0026] The comprehensive sorting feedback module includes a port data processing unit and a port data feedback unit; The port data processing unit performs sorting, processing and storage operations on the data of each port of the medical system within the cycle; The port data feedback unit outputs the activity index of each port, the periodic data sorting status score, the data matching correlation information between ports and the data sorting confidence through the visual port platform, and gives an abnormal prompt for the low-credit sorting data; In the examples: At present, a certain medical institution needs to sort and control the medical data it produces, and it adopts the medical supervision system of intelligent data sorting and control of the present invention; by arranging a visualization port platform and connecting the platform to the hospital local area network, the hospital local area network data port is captured; identity identification is assigned to the captured port; the captured hospital local area network port is synchronized and updated and displayed in the visualization port platform, real-time data is acquired for each port, and time series data corresponding to each port is constructed by marking the timestamp; Retrieve the time series data of each port respectively, and intercept the periodic data of the time series data of each port by setting the observation period; analyze the activity index of the current period port based on the port periodic data, and the calculation formula is: ; Based on the port identifier, retrieve the historical sorting data of the corresponding port, obtain the historical periodic data sorting index of the corresponding port, and evaluate the periodic data sorting status by combining the periodic activity index analysis data of the corresponding port. The calculation formula is: ; Retrieve the periodic data corresponding to each port in the current real-time cycle; perform data integration processing based on the periodic data of each port, perform discrete data integration with the corresponding periodic time point as the reference point, and construct the periodic data set of the corresponding port; perform data association analysis on the periodic data sets of any two ports; perform data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; the calculation formula for the data common support of the periodic data set between any two ports is ; The calculation formula for the data cross support of the periodic data set between any two ports is: ; Based on the periodic data set between any two ports, data support analysis is performed, and data matching correlation analysis is performed between any two ports. The calculation formula is: ; Based on the support analysis data of the periodic data set of any two ports, comprehensive data sorting processing is performed on each port; the associated cross data existing in the periodic data set of any two ports is extracted and the associated database corresponding to the current two ports is constructed, and the unassociated cross data in the periodic data set of the current two ports is extracted to construct the non-associated storage database of the current two ports, and an inter-access connection channel is established between the associated database and the non-associated storage database of the current two ports; based on the comprehensive data sorting processing of each port, the confidence of the comprehensive sorting processing of the port data in the medical system in the current cycle is analyzed, and the calculation formula is: ; According to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, the confidence of the comprehensive sorting processing of the port data in the medical system in the current cycle is determined by setting up confidence level intervals; based on the sorting processing confidence level, the corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with low confidence; The data of each port of the medical system within the cycle are sorted, processed and stored; the activity index of each port, the cycle data sorting status score, the data matching correlation information between ports and the data sorting confidence are output through the visual port platform, and abnormal prompts are given for low-credit sorting data.

[0027] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A medical supervision method for intelligent data sorting and control, characterized by: The method comprises the following steps: S100, real-time capture of medical data packets from data ports in the medical system; S200, performing periodic activity index analysis on each port based on the port data packet information, and performing comprehensive data sorting and evaluation on the port based on the analysis data; S300, performing correlation analysis on the data of each port within the cycle to determine the data matching correlation between the corresponding ports, and analyzing the data sorting confidence between the ports based on the matching correlation; S400, sorting and storing the medical system port data within the cycle, and outputting the data matching correlation information and data sorting confidence between the ports.

2. According to claim 1, a medical supervision method for intelligent data sorting and control is characterized by: The specific steps of S100 are as follows: S101, by arranging a visualization port platform and connecting the platform to the hospital local area network, capturing the data port of the hospital local area network; and assigning an identity to the captured port; S102. Synchronously update and display the captured hospital local area network ports in the visualization port platform, acquire real-time data for each port, and mark timestamps to construct time series data corresponding to each port.

3. According to claim 2, a medical supervision method for intelligent data sorting and control is characterized in that: The specific steps of S200 are as follows: S201, respectively retrieve the time series data of each port, and intercept the periodic data of the time series data of each port by setting the observation period; perform activity index analysis on the current period port based on the port periodic data, and the calculation formula is: ； Among them, AC(n) corresponds to the periodic activity index of the port with identification number n; t(n) corresponds to the data output duration of the port with identification number n in the period; m(n) is the amount of data output in the period corresponding to the port with identification number n; T is the observation period duration; M is the maximum value of the historical periodic data output of the port in the medical system; n is the port identification number; S202, based on the port identifier, retrieve the historical sorting data of the corresponding port, obtain the historical periodic data sorting index of the corresponding port, and evaluate the periodic data sorting status in combination with the periodic activity index analysis data of the corresponding port. The calculation formula is: ； Among them, F(n) corresponds to the sorting status score of the periodic data of the port with identification number n; P(n) corresponds to the mean sorting accuracy of the historical periodic data of the port with identification number n; R(n) corresponds to the mean sorting recall rate of the historical periodic data of the port with identification number n; the port historical sorting data is the sorting data of each historical periodic data of the corresponding port; the historical periodic data sorting index includes the sorting accuracy and recall rate corresponding to each historical periodic data of the port.

4. According to claim 3, a medical supervision method for intelligent data sorting and control is characterized in that: The specific steps of S300 are as follows: S301, retrieve the periodic data corresponding to each port in the current real-time cycle; perform data integration processing based on the periodic data of each port, perform discrete data integration with the corresponding periodic time point as the reference point, and construct the periodic data set of the corresponding port; perform data association analysis on the periodic data sets of any two ports; perform data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; wherein the calculation formula for the data common support of the periodic data set between any two ports is ； Among them, Sp(i∪j) is the common support of the periodic data set corresponding to any port with identity i and j; m(i) is the number of periodic data sets corresponding to the port with identity i; m(j) is the number of periodic data sets corresponding to the port with identity j; ma is the total number of port data output in the medical system in the current cycle; The calculation formula for the data cross support of the periodic data set between any two ports is: ； Wherein, Sp(i∩j) is the data cross support of the periodic data set of any port corresponding to the identity i and j; m(i∩j) is the number of data with associated crosses in the periodic data set of any port corresponding to the identity i and j; i and j are the identity of any two ends, and their value range is [1, n]; Based on the periodic data set between any two ports, data support analysis is performed, and data matching correlation analysis is performed between any two ports. The calculation formula is: ； Wherein, K(i,j) is the periodic data matching correlation degree between the ports corresponding to any identity identifier i and j; F(i) is the periodic data sorting status score of the port corresponding to the identity identifier i; F(j) is the periodic data sorting status score of the port corresponding to the identity identifier j; S302, based on the support analysis data of the periodic data set of any two ports, perform comprehensive data sorting processing on each port; extract the associated cross data existing in the periodic data set of any two ports and construct an associated database corresponding to the current two ports, and extract the unassociated cross data in the periodic data set of the current two ports to construct a non-associated storage database of the current two ports, and establish a mutual access connection channel between the associated database and the non-associated storage database of the current two ports; Based on the comprehensive data sorting processing of each port, the confidence of the comprehensive sorting processing of port data in the medical system in the current cycle is analyzed, and the calculation formula is: ； Among them, CH is the comprehensive sorting and processing confidence of port data in the medical system in the current cycle; i and j are not equal; According to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, the comprehensive sorting processing confidence of the port data in the medical system in the current cycle is determined by setting up confidence level intervals; based on the sorting processing confidence level, the corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with low credit.

5. According to claim 4, a medical supervision method for intelligent data sorting and control is characterized in that: The steps of S400 are as follows: S401, sorting, processing and storing the data of each port of the medical system within the period; S402. Output the activity index of each port, the periodic data sorting status score, the data matching correlation information between ports and the data sorting confidence through the visual port platform, and issue an abnormal prompt for the low-credit sorting data.

6. A medical supervision system with intelligent data sorting and control, characterized by: The system includes a port data capture module, a port status analysis module, a port data sorting analysis module and a comprehensive sorting feedback module; The port data capture module captures the medical data packets of the data ports in the medical system in real time; the port status analysis module performs periodic activity index analysis on each port based on the port data packet information, and performs comprehensive data sorting and evaluation on the port based on the analysis data; The port data sorting and analysis module performs correlation analysis on the data of each port within the cycle to determine the data matching correlation between the corresponding ports, and analyzes the data sorting confidence between the ports based on the matching correlation; the comprehensive sorting feedback module sorts and stores the medical system port data within the cycle, and outputs the data matching correlation information and data sorting confidence between the ports.

7. The medical supervision system for intelligent data sorting and control according to claim 6 is characterized by: The port data capture module includes a port visualization unit and a port data capture unit; The port visualization unit captures the data ports of the hospital local area network by arranging a visualization port platform and connecting the platform to the hospital local area network; Assigning identities to capture ports; The port data capture unit updates and displays the captured hospital local area network ports in a visualized port platform, acquires real-time data from each port, and marks timestamps to construct time series data corresponding to each port.

8. The medical supervision system for intelligent data sorting and control according to claim 7 is characterized by: The port status analysis module includes a port cycle activity analysis unit and a port cycle data sorting and evaluation unit; The port periodic activity analysis unit retrieves the time series data of each port respectively, and intercepts the periodic data of the time series data of each port by setting an observation period; and performs activity index analysis on the current periodic port based on the port periodic data; The port periodic data sorting evaluation unit retrieves the historical sorting data of the corresponding port based on the port identifier, obtains the historical periodic data sorting index of the corresponding port, and evaluates the periodic data sorting status in combination with the periodic activity index analysis data of the corresponding port; the port historical sorting data is the sorting data of each historical periodic data of the corresponding port; the historical periodic data sorting index includes the sorting accuracy and recall rate corresponding to each historical periodic data of the port.

9. The medical supervision system for intelligent data sorting and control according to claim 8, characterized in that: The port data sorting and analysis module includes a port matching association analysis unit and a port data sorting confidence analysis unit; The port matching association analysis unit retrieves the periodic data corresponding to each port in the current real-time cycle; performs data integration processing based on the periodic data of each port, performs discrete data integration with the corresponding periodic time point as a reference point, and constructs a periodic data set of the corresponding port; performs data association analysis on the periodic data sets of any two ports; performs data support analysis on the periodic data sets between any two ports respectively; the data support analysis includes data common support and data cross support; performs data support analysis data based on the periodic data sets between any two ports, and performs data matching association analysis between any two ports; The port data sorting confidence analysis unit performs comprehensive data sorting processing on each port based on the support analysis data of the periodic data set of any two ports; extracts the associated cross data existing in the periodic data set of any two ports and constructs an associated database corresponding to the current two ports, and extracts the unassociated cross data in the periodic data set of the current two ports to construct a non-associated storage database of the current two ports, and establishes a mutual access connection channel between the associated database and the non-associated storage database of the current two ports; performs comprehensive data sorting processing based on each port, and analyzes the comprehensive sorting processing confidence of the port data in the medical system within the current cycle; according to the comprehensive sorting processing confidence analysis data of the port data in the medical system within the cycle, by setting up a confidence level interval, the comprehensive sorting processing confidence of the port data in the medical system in the current cycle is determined at a level; based on the sorting processing confidence level, a corresponding level status judgment is obtained, and the sorting data at the abnormal level is marked with a low credit.

10. The medical supervision system for intelligent data sorting and control according to claim 9, characterized in that: The comprehensive sorting feedback module includes a port data processing unit and a port data feedback unit; The port data processing unit performs sorting, processing and storage operations on the data of each port of the medical system within the cycle; The port data feedback unit outputs the activity index of each port, the periodic data sorting status score, the data matching correlation information between ports and the data sorting confidence through the visual port platform, and issues an abnormal prompt for low-credit sorting data.

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