Search

CN-122025062-A - Intra-cardiac nursing shift-switching management system and method

CN122025062ACN 122025062 ACN122025062 ACN 122025062ACN-122025062-A

Abstract

The invention discloses an intracardiac nursing shift-switching management system and method, which belong to the technical field of medical information processing, wherein the management system comprises a data acquisition module, a disease analysis module, a shift analysis module, a consensus strategy module and a shift control module, wherein the disease analysis module is used for obtaining a disease stability score of a target patient based on a cardiology specific risk assessment model according to time sequence clinical data, the shift analysis module is used for carrying out shift-switching task complexity analysis according to the disease stability score to obtain a shift-switching urgency grade, calculating and obtaining a recommended shift-switching buffer duration of the target patient based on a shift-switching nurse carrying capacity obtained in advance, and the consensus strategy module is used for dynamically matching the shift-switching urgency grade and the recommended shift-switching buffer duration to generate a shift-switching consensus execution strategy. The invention realizes accurate, structured and high-efficiency handover by intelligently matching the patient condition, the complexity of the handover task and the personal bearing capacity of nurses and pre-dispatching the resources.

Inventors

  • JIANG YAN
  • XU MEIFANG
  • JIANG TINGBO

Assignees

  • 苏州大学附属第一医院

Dates

Publication Date
20260512
Application Date
20260413

Claims (10)

  1. 1. An intracardiac care shift management system, comprising: The data acquisition module is used for acquiring time sequence clinical data of a target patient in real time; the disease analysis module is used for obtaining the disease stability score of the target patient based on the intracardiac branch of academic or vocational study specific risk assessment model according to the time sequence clinical data; The handover analysis module is used for analyzing the complexity of the handover task according to the disease stability score to obtain a handover urgency level; the consensus strategy module is used for dynamically matching the handover urgency level and the recommended handover buffer duration and generating a handover consensus execution strategy; and the handover control module is used for executing handover according to a handover consensus execution strategy, and in the handover process, the handover control module acquires the demand information of the target patient and converts the demand information into a standardized tracking task.
  2. 2. The intracardiac care shift management system according to claim 1, wherein the real-time acquisition of time-series clinical data of a target patient comprises: Collecting continuous vital sign waveform data of a patient in real time through medical monitoring equipment; Acquiring blood routine, blood gas analysis and electrolyte laboratory data of a patient according to preset time intervals and event triggering, and forming key test result data of discrete time points; The nursing operation event data are obtained through the mobile nursing terminal, and are structurally extracted and aligned with the time stamp to form nursing evaluation data; Constructing an original data pool based on the continuous vital sign waveform data, key test result data and nursing evaluation data; Filtering redundant data in the original data pool according to the current diagnosis and treatment plan of the target patient obtained in advance to generate time sequence clinical data with situation focusing; based on the time sequence clinical data of the situation focus, generating a standardized time sequence data object, and pushing the time sequence data object to the illness state analysis module to serve as input data.
  3. 3. The intracardiac care shift management system according to claim 2, wherein said obtaining a condition stability score for a target patient based on a cardiology-specific risk assessment model from the time-series clinical data comprises: Carrying out non-overlapping segmentation and overlapping segmentation calculation on the continuous vital sign waveform data with a preset clinical significance time window to obtain a plurality of waveform segments to be analyzed, calculating a mean value and a standard deviation according to each waveform segment, and carrying out linear regression analysis to obtain a trend change rate; Based on a clinical priori knowledge base of the department of cardiology, defining a medical standard threshold value for judging an abnormal mode according to the diagnosis category of a target patient, counting waveform fragments exceeding the medical standard threshold value in a clinically significant time window, and calculating the occurrence frequency and the accumulated time length ratio of the abnormal mode to obtain the abnormal mode density of continuous vital sign waveform data; and constructing a multi-factor synthesis function according to the abnormal pattern density, the trend change rate and the waveform complexity of the continuous vital sign waveform data, and calculating to obtain a physiological signal stability characteristic value through the multi-factor synthesis function.
  4. 4. The system for managing an intra-cardiac care shift according to claim 3, wherein the non-overlapping segments are calculated by dividing a continuous waveform by a fixed length Dividing, number of segments No overlap exists between the segments; the calculation mode of the overlapped segments is that sliding windows are adopted, and the window length is defined as The step length is The number of fragments is Number of fragments The formula of (c) is as follows: ; Mean value of And standard deviation of The calculation formula of (2) is as follows: ; ; Wherein, the As the number of data points within a single waveform segment, Is the first Waveform values of the sampling points; Performing linear fitting on each waveform segment, wherein the slope represents the trend change rate The formula is as follows: ; Wherein, the Is the first Time stamps for the sample points; Waveform complexity The formula of (c) is as follows: ; Wherein, the And Are all the sampling templates which are used for sampling, The length of the template is The number of matches in the time of the process, The length of the template is The number of matches in the time of the process, For the purpose of sampling the length of the template, Is a matching probability; Frequency of occurrence of abnormality The formula of (c) is as follows: ; Cumulative duration duty cycle The formula of (2) is as follows; ; abnormal pattern density The calculation formula of (2) is expressed as follows: ; Physiological signal stationarity characteristic value The calculation formula of (2) is expressed as follows: 。
  5. 5. the intracardiac care shift management system according to claim 3, wherein the obtaining of the patient's condition stability score based on the intracardiac specific risk assessment model specifically comprises: Constructing a multidimensional input vector according to the time sequence clinical data, the stationarity characteristic value, the discrete test result data and the nursing evaluation data, and taking the multidimensional input vector as input data of a heart internal medicine specific risk evaluation model; Mapping the pre-obtained stability scoring rule into a disease stability grade, embedding a trained intracardiac department specific risk assessment model, and outputting a disease stability score based on the input data.
  6. 6. The system according to claim 5, wherein the step of analyzing the complexity of the delivery task according to the condition stability score to obtain the delivery urgency level comprises the steps of: The system comprises a grade grading rule, a grade mapping table, a handover task complexity analysis, a handover information density index and an execution decision task index, wherein the grade mapping table is constructed according to the grade grading rule and the grade of the illness state; calculating to obtain comprehensive complexity scores based on the handover information density indexes and the execution decision task indexes, and classifying the comprehensive complexity grades according to the comprehensive complexity scores, so as to map the comprehensive complexity scores into handover task complexity grades; Based on the complexity level of the handover task and the disease stability level, matching is carried out through a preset handover urgency level template, and a corresponding handover urgency level is obtained.
  7. 7. The system according to claim 6, wherein the analyzing the complexity of the delivery task according to the pre-obtained delivery information amount and the number of times of execution of the delivery task to obtain the delivery information density index and the execution decision task index comprises: Calculating the handover information density index, namely counting the number of key information items to be transmitted in the handover to obtain the handover information quantity, and obtaining the handover information density index through preset weight weighting summation; And executing the decision task index calculation, namely counting the number of tasks marked as to be executed or decided by the operator in the handover record, and calculating to obtain the decision task index.
  8. 8. The system according to claim 7, wherein the calculating the recommended delivery buffer duration of the target patient based on the pre-obtained delivery nurse carrying capacity comprises: Acquiring static capacity parameters of a reception nurse in real time, namely the working years of the department, the qualification certification level of the department and the accuracy rate of completing the historical handover task; Dynamically acquiring real-time load state parameters of a shift nurse, wherein the real-time load state parameters comprise the total number of currently allocated responsible patients, the average illness state stability score of the responsible patients, the number and complexity of current to-be-processed instant nursing tasks and the working time of the shift; acquiring patient condition stability scores and corresponding handover urgency levels, and determining a base demand duration based on the handover urgency levels Calculating a nurse bearing capacity correction coefficient according to the static capacity parameter and the real-time load state parameter of the nurse The specific calculation process is as follows: ; In the above-mentioned formula(s), For the working years of nurses in the department of cardiology, The method is used for normalizing the highest service life of a department; For the nurse to be a current load index, In order to preset the maximum load threshold value, For the working time of the nurse's shift, Is the standard shift duration; 、 、 is a weight coefficient, and Calibrating according to clinical experience or historical data; Correction factors based on nurse carrying capacity Obtaining the recommended handover buffer duration The calculation formula is as follows: ; Wherein the method comprises the steps of For adjusting the coefficients.
  9. 9. The system of claim 8, wherein the number of key information items includes a description of abnormal vital signs, a number of orders to be performed, a number of orders to be attended, a number of special care attended items, and a description of recent changes.
  10. 10. An intracardiac care shift management method, characterized in that it is applied to the intracardiac care shift management system according to any one of claims 1 to 9, comprising the steps of: acquiring time sequence clinical data of a target patient in real time; Obtaining a disease stability score of the target patient based on the intracardiac department specific risk assessment model according to the time sequence clinical data; Based on the pre-obtained carrying capacity of the switching nurses, calculating and obtaining the recommended handover buffer time of the target patient; Dynamically matching the handover urgency level and the recommended handover buffer duration to generate a handover consensus execution strategy; And in the process of the handover, the handover control module acquires the demand information of the target patient and converts the demand information into a standardized tracking task.

Description

Intra-cardiac nursing shift-switching management system and method Technical Field The application relates to the technical field of medical information processing, in particular to an intracardiac nursing shift-switching management system and method. Background The cardiology department is used as one of the critical departments in the hospital, and is mainly used for collecting and treating various heart disease patients including coronary heart disease, arrhythmia, cardiomyopathy, heart failure and the like, and the conditions of the patients often have the characteristics of rapid change, complex conditions, multiple complications and the like, and have extremely high requirements on timeliness, accuracy and specialty of nursing work. The nursing shift serves as an important link of nursing work, and is a key flow for guaranteeing the continuity and safety of patient nursing. In the shift-over process, shift-over nurses need to accurately and comprehensively transmit important information such as illness state, treatment, nursing measures, special notes and the like of patients to shift-over nurses so that the shift-over nurses can quickly master the conditions of the patients and continue to provide high-quality nursing services for the patients. In the prior art, the traditional shift-exchange mode mainly depends on oral communication and written records among nurses, the oral communication is easily influenced by environmental noise, shift-exchange nurse expression capacity and shift-exchange nurse understanding capacity factors, so that information transmission is inaccurate or incomplete, clear shift-exchange consensus is often lacking between shift-exchange parties, clear regulations on shift-exchange content, shift-exchange standard and shift-exchange responsibility are not available, and disputes are easily caused in the shift-exchange process; in addition, the evaluation of the patient's condition by nurses is often based on personal experience and subjective judgment, so that the disease evaluation result may deviate, and the actual severity and stability of the patient's condition cannot be accurately reflected. Disclosure of Invention The invention aims to overcome the defects in the prior art, and provides an intra-cardiac care shift-exchange management system and method, which are used for constructing a structured shift-exchange consensus execution strategy by comprehensively considering clinical data and nurse bearing capacity, so as to realize high-efficiency shift-exchange which is accurately suitable for the illness state of a patient. In order to achieve the above purpose, the invention is realized by adopting the following technical scheme: in a first aspect, the present invention provides an intracardiac care shift management system, comprising: The data acquisition module is used for acquiring time sequence clinical data of a target patient in real time; the disease analysis module is used for obtaining the disease stability score of the target patient based on the intracardiac branch of academic or vocational study specific risk assessment model according to the time sequence clinical data; The handover analysis module is used for analyzing the complexity of the handover task according to the disease stability score to obtain a handover urgency level; the consensus strategy module is used for dynamically matching the handover urgency level and the recommended handover buffer duration and generating a handover consensus execution strategy; and the handover control module is used for executing handover according to a handover consensus execution strategy, and in the handover process, the handover control module acquires the demand information of the target patient and converts the demand information into a standardized tracking task. Further, the real-time acquisition of the temporal clinical data of the target patient includes: Collecting continuous vital sign waveform data of a patient in real time through medical monitoring equipment; Acquiring blood routine, blood gas analysis and electrolyte laboratory data of a patient according to preset time intervals and event triggering, and forming key test result data of discrete time points; The nursing operation event data are obtained through the mobile nursing terminal, and are structurally extracted and aligned with the time stamp to form nursing evaluation data; Constructing an original data pool based on the continuous vital sign waveform data, key test result data and nursing evaluation data; Filtering redundant data in the original data pool according to the current diagnosis and treatment plan of the target patient obtained in advance to generate time sequence clinical data with situation focusing; based on the time sequence clinical data of the situation focus, generating a standardized time sequence data object, and pushing the time sequence data object to the illness state analysis module to serve as input data. Further, th