CN-122025047-A - Data supervision method and system for medical information management

CN122025047ACN 122025047 ACN122025047 ACN 122025047ACN-122025047-A

Abstract

The present invention relates to the field of medical information technologies, and in particular, to a data supervision method and system for medical information management. A data supervision method for medical information management comprises the following steps of S1, obtaining portable probe data and probe-related bed data, S2, performing medical personnel training judgment according to a virtual human body route use sequence and an actual human body route use sequence of a portable probe, S3, obtaining probe use entropy of a bed and sharing indexes among beds according to probe type use sequence calculation, and S4, performing sequence position analysis on probe type use sequences in each bed set to be detected according to difference points, cross-personnel difference points and the bed set to be detected. The invention creatively provides two core indexes of the probe use entropy and the index shared between beds, and the probe use entropy can sensitively capture the confusion degree of the use of a single bed probe.

Inventors

CHEN XI
WANG HUI
DA WENYUE
LI QING
CHEN TONGBING

Assignees

常州市第一人民医院

Dates

Publication Date: 20260512
Application Date: 20260123

Claims (10)

1. A data administration method for medical information management, comprising the steps of: S1, acquiring portable probe data and probe related bed data; s2, training and judging medical staff according to the virtual human body route using sequence and the actual human body route using sequence of the portable probe; S3, calculating according to the probe type using sequence to obtain the probe using entropy of the bed and the sharing index between the beds; s4, analyzing the sequence position of the probe type using sequence in each bed set to be detected according to the difference points, the cross-person difference points and the bed sets to be detected.
2. The data supervision method for medical information management according to claim 1 is characterized in that the acquisition of portable probe data and probe-related bed data comprises probe motion use sequences of portable probes in all beds, the probe-related bed data comprises probe type use sequences of the portable probes in preset time periods in all beds, the probe motion use sequences comprise virtual human body route use sequences of the portable probes and actual human body route use sequences of the portable probes, the virtual human body route use sequences are virtual planning use motion sequences of medical staff, which do not contact human bodies before actually probing the human bodies, in combination with the virtual planning use motion sequences of the beds, the actual human body route use sequences of the portable probes are actual use motion sequences of the medical staff, which are recorded according to time sequences in the preset time periods, of the beds, and the probe type use sequences of the portable probes are sequences formed by using type identifiers of different portable probes.
3. The method for data supervision of medical information management according to claim 2, wherein the step of performing healthcare worker training judgment based on the virtual body route use sequence and the actual body route use sequence of the portable probe includes obtaining a route deviation score using a deviation score formula based on the virtual body route use sequence of the portable probe and the actual body route use sequence of the portable probe, and performing training or auditing procedures for the healthcare worker when the route deviation score is equal to or greater than a preset deviation threshold.
4. The data administration method for medical information management as claimed in claim 3, wherein the route deviation score is obtained using a deviation score formula according to a virtual human route use sequence of the portable probe and an actual human route use sequence of the portable probe, comprising wherein the deviation score formula is described as: ; ; In the formula, Is the Hausdorff distance, is used to reflect the closest distance that the two track sets are furthest, Using a sequence for the virtual human body route; a sequence of motions for the actual use; For using all planned probe motion track points in sequence for virtual human body route Taking an upper definition; for using all actually used probe motion track points in sequence for actual human body route Taking down the confirmed world; is an European norm; for using all actually used probe motion track points in sequence for actual human body route Taking an upper definition; For using all planned probe motion track points in sequence for virtual human body route Taking down the confirmed world; normalized dynamic time warping distance between the virtual human body route using sequence and the actual using motion sequence; the distance is normalized Hausdorff; Is a route deviation score.
5. The method for supervising data for medical information management according to claim 1, wherein the method for acquiring the probe usage entropy of the bed and the inter-bed sharing index according to the probe type usage sequence calculation comprises the steps of measuring the distribution of different probe types of the bed in a preset time period by the probe usage entropy of the bed, acquiring the probe usage entropy by an entropy measurement formula, and performing probe and bed cleaning judgment according to the probe usage entropy, wherein the entropy measurement formula is described as follows: ; ; In the formula, Is a bed The probe usage entropy in the preset time period is in bits; Of the probe type Is used for the relative frequency of use; Of the probe type The number of uses of (2); In order to make the number of times of use, 。
6. The data supervision method for medical information management according to claim 1 is characterized in that the method comprises the steps of obtaining medical staff identity information, judging staff according to the medical staff identity information, when the medical staff among the beds are the same staff, comparing different positions of probes in a probe type use sequence among the beds to be used as difference points, distinguishing the difference points according to medical staff analysis to obtain error points and attention points, specifically, calling a predefined medical operation standard knowledge base, matching an actually used probe type at the difference points with a standard probe type specified by bed type information in the knowledge base, marking the difference points as error points if matching is failed, marking the difference points as attention points if matching is successful, setting up a mapping relation table, defining a corresponding relation between different types of diseases, different detection positions and bed types of probes by the mapping relation table, comparing the corresponding relation between the probe types and the current probe type at the difference points with the standard probe type specified by the bed type information, and inquiring the actually used probe type at the position based on the actually used probe type.
7. The method for supervising the data used for managing the medical information according to claim 6, wherein the step of acquiring the identity information of the medical staff and judging the staff according to the identity information of the medical staff comprises the steps of acquiring sharing indexes among beds in the same time window through a sharing index acquisition formula when the medical staff among the beds are different staff, taking the beds with the sharing indexes larger than a sharing index threshold as a bed set to be detected, comparing the use sequence of probe types among the beds operated by the different medical staff, identifying the probe to use different positions as a staff-crossing difference point, calling the medical operation specification knowledge base, and distinguishing the staff-crossing difference point to obtain a staff-crossing error point and a staff-crossing focus point.
8. The method for data supervision for medical information management according to claim 7, wherein the obtaining the inter-bed sharing index within the same time window by the sharing index obtaining formula comprises the steps of: ; In the formula, Is a bed With the bed The index is shared among beds; for probes within the same time window In the bed The number of uses of (2); for probes within the same time window In the bed The number of uses of (2); a set of all probes examined in a hospital or area; Is to align the bed in the window A probe usage event set; Is to align the bed in the window A probe usage event set; To the bed position Probe usage events of (2); is the mutual transmission coefficient of the parts; As a time-decay factor, , A decay time scale for disinfection; Is event And events Time difference between; Is event A corresponding detection part; Is event Corresponding detection parts.
9. The method for supervising the data for medical information management according to claim 8, wherein the sequence position analysis is performed on probe type use sequences in each bed set to be detected according to the difference points, the cross-person difference points and the bed set to be detected, and the method comprises the steps of eliminating sequence positions marked as the attention points and the cross-person attention points from the probe type use sequences of the bed set to be detected, reserving the sequence positions marked as the error points and the cross-person error points to form target sequence positions, and calculating the probe use association degree between the beds in the bed set to be detected based on the target sequence positions.
10. A data administration system for medical information management for implementing a data administration method for medical information management according to any one of claims 1 to 9, comprising: The data acquisition module is used for acquiring portable probe data and probe-related bed data; the training judgment module is used for carrying out training judgment on medical staff according to the virtual human body route use sequence and the actual human body route use sequence of the portable probe; The cleaning judging module is used for calculating and obtaining the probe use entropy of the bed and the sharing index between the beds according to the probe type use sequence and carrying out cleaning judgment on the probe and the beds according to the probe use entropy; and the sequence audit analysis module is used for carrying out sequence position analysis based on the marked error points and the cross-personnel error points and calculating the probe use association degree among all beds in the bed set to be detected.

Description

Data supervision method and system for medical information management Technical Field The present invention relates to the field of medical information technologies, and in particular, to a data supervision method and system for medical information management. Background In modern orthopedics medical institutions, portable image diagnosis probes are widely applied due to strong flexibility and high diagnosis efficiency, and are particularly suitable for fracture assessment, joint examination, intra-operative navigation and postoperative monitoring, however, the problems of medical operation standardization, equipment use efficiency and hospital infection control follow up are increasingly highlighted, the effective and automatic supervision of the portable image diagnosis probes is difficult to carry out in the prior art, the prior art has the defects that in the aspect of operation standardization supervision, objective quantitative assessment means are lacked, the current operation training and auditing of using portable probes for medical staff are mostly dependent on subjective observation and experience judgment of advanced doctors, the accuracy of diagnosis results such as fracture alignment assessment and soft tissue injury judgment is influenced, discomfort and even injury are caused to patients, risk early warning is delayed in the aspect of infection control, the mode is single, the infection risk is high after orthopedics operation, the probes are used alternately in the vicinity of different patient wounds, joint cavities or implants, the existing probes and infection control measures are mostly based on fixed time intervals or simple use frequency rules, dynamic risk based on actual use scenes is lacked, and in the aspect of using data, and the medical staff has a plurality of data records in a plurality of coordinated identity information, and a plurality of medical staff have a plurality of data records, and have a cooperative status, and a plurality of data records are recorded in the medical staff are in the medical staff, and have a plurality of data records. Disclosure of Invention In order to overcome the defect of lack of application of the portable probe to bed data supervision, the invention provides a data supervision method and a system for medical information management. The technical scheme is that the data supervision method for medical information management comprises the following steps: S1, acquiring portable probe data and probe related bed data; s2, training and judging medical staff according to the virtual human body route using sequence and the actual human body route using sequence of the portable probe; S3, calculating according to the probe type using sequence to obtain the probe using entropy of the bed and the sharing index between the beds; s4, analyzing the sequence position of the probe type using sequence in each bed set to be detected according to the difference points, the cross-person difference points and the bed sets to be detected. The method comprises the steps of acquiring portable probe data and probe-related bed data, wherein the portable probe data comprises probe motion using sequences of a portable probe in each bed, the probe-related bed data comprises probe type using sequences of the portable probe in a preset time period in each bed, the probe motion using sequences comprise virtual human body route using sequences of the portable probe and actual human body route using sequences of the portable probe, the virtual human body route using sequences are virtual planning using motion sequences which do not contact a human body by medical staff before actually detecting the human body and are combined with the bed, the actual human body route using sequences of the portable probe are actual using motion sequences of the portable probe used by the medical staff for the human body, and the probe type using sequences of the portable probe are sequences formed by recording the probe type using different portable probes according to time sequence in the preset time period. Preferably, the medical staff training judgment is carried out according to the virtual human body route use sequence and the actual human body route use sequence of the portable probe, and the method comprises the steps of obtaining a route deviation score according to the virtual human body route use sequence of the portable probe and the actual human body route use sequence of the portable probe by using a deviation score formula, and training or auditing the medical staff when the route deviation score is greater than or equal to a preset deviation threshold value. Preferably, the route deviation score is obtained by using a deviation score formula according to the virtual human body route use sequence of the portable probe and the actual human body route use sequence of the portable probe, and the deviation score formula is described as follows: ; ; In the formula, Is the Hausdorff