CN113744857B - A hemodialysis quality monitoring auxiliary system - Google Patents
A hemodialysis quality monitoring auxiliary system Download PDFInfo
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Abstract
本申请涉及一种血液透析质量监控辅助系统。系统包括：数据收集模块，用于收集至少一个收集维度的数据，所述数据包括患者数据、医护数据和科室数据；指标统计模块，用于根据所述数据收集模块的数据，统计并计算指标，生成标准化指标，监控所述标准化指标；质量控制模块，用于根据每个所述患者数据，形成科室数据，反馈并提醒医护人员透析质量数据，生成质量报告。辅助模块，用于数据和/或结果的推送提醒，以及风险评估与分析。本发明可以帮助透析室进行质量管控，辅助提升患者透析质量，提供透析服务质量。
The present application relates to a hemodialysis quality monitoring auxiliary system. The system includes: a data collection module, which is used to collect data of at least one collection dimension, and the data includes patient data, medical data and department data; an indicator statistics module, which is used to count and calculate indicators according to the data of the data collection module, generate standardized indicators, and monitor the standardized indicators; a quality control module, which is used to form department data according to each of the patient data, feedback and remind medical staff of dialysis quality data, and generate quality reports. An auxiliary module is used for push reminders of data and/or results, as well as risk assessment and analysis. The present invention can help the dialysis room to carry out quality control, assist in improving the quality of patient dialysis, and provide dialysis service quality.
Description
Technical Field
The application relates to the technical field of medical information, in particular to a hemodialysis quality monitoring auxiliary system.
Background
Hemodialysis is one of the renal replacement therapy modes for patients with acute and chronic renal failure. The method comprises the steps of draining in-vivo blood to the outside of the body, passing through a dialyzer consisting of innumerable hollow fibers, wherein the blood and electrolyte solution (dialysate) with similar concentration of the body are in and out of the hollow fibers, and carrying out substance exchange by the dispersion, ultrafiltration, adsorption and convection principles to remove metabolic wastes in the body and maintain the balance of the electrolyte and acid and alkali; at the same time, the whole process of removing excessive water from the body and reinfusion of the purified blood is called hemodialysis.
The short term goal of hemodialysis is to correct fluid and electrolyte imbalances and remove toxins, and the long term goal of treatment for renal failure patients is to optimize the patient's functional status, comfort and blood pressure, prevent uremic complications and improve survival. In order to ensure the quality of hemodialysis and the quality of treatment of the patient, the patient needs to be timed to a hospital dialysis room or other dialysis center, maintain the balance of body fluids and electrolytes through hemodialysis, and control the blood pressure within a normal range.
Hemodialysis is an important way for patients to survive because it is an important kidney replacement therapy. Dialysis, however, often requires a team's collaborative effort. Because of the multiple processes and the multiple equipment management, the treatment quality and the life quality of the patient are guaranteed, and the evaluation index of hemodialysis quality is required to be clarified. The hemodialysis service level is improved, and the indexes can be used as the standard for improving the service and the quality.
Disclosure of Invention
In order to solve the above problems, the present invention proposes a hemodialysis quality monitoring support system, comprising:
A data collection module for collecting data of at least one collection dimension, the data including patient data, healthcare data, and department data;
the index statistics module is used for counting and calculating indexes according to the data of the data collection module, generating a standardized index and monitoring the standardized index;
And the quality control module is used for forming department data according to the patient data, feeding back and reminding medical staff of dialyzing the quality data and generating a quality report.
The auxiliary module is used for pushing and reminding data and/or results, and evaluating and analyzing risks;
the quality control module receives the standardized indexes, evaluates and summarizes the standardized indexes, and performs statistics display or notification reminding through the auxiliary module, and feeds back relevant information of the notification reminding to the data collection module.
In one embodiment, the collection dimensions include department basis data, patient data, test data, procedure data, post-dialysis data, and device management data, and the collection means of the data collection module includes at least system generation and file importation.
In one embodiment, the index statistics module includes a patient data statistics unit, a dialysis device statistics unit, a process control statistics unit, and a quality result statistics unit;
The patient data statistics unit is used for extracting all patient information through the patient data, counting the patient information and generating a standardized index related to the patient;
The dialysis equipment statistics unit is used for counting dialysis article information, dialysis equipment management information and equipment operator information and generating equipment-related standardized indexes;
the process control statistical unit is used for counting patient marker detection information, blood test information and urea information and generating standardized indexes related to the dialysis process;
The quality result statistics unit is used for counting complication information, hemodialysis pipeline information, infection information, patient hospitalization and withdrawal information and generating a dialysis quality related standardized index.
In one embodiment, the standardized indicators generated by the patient data statistics unit are statistically displayed by the auxiliary module, and the standardized indicators generated by the process control statistics unit and the quality result statistics unit are notified and reminded by the auxiliary module.
In one embodiment, the quality control module comprises a patient quality control unit, a healthcare quality control unit, and a department quality control unit;
The patient quality control unit is used for generating patient dialysis quality data aiming at a single patient by combining the dialysis record of the patient with the standardized index generated by the index statistics module, wherein the patient dialysis quality data comprises quality control index content and dialysis quality reminding of the single patient;
The medical quality control unit is used for generating evaluation summary data aiming at medical staff in the department and combining patient dialysis quality data of responsible patients to which each medical staff belongs, wherein the evaluation summary data comprises dialysis quality reminding and dialysis quality ranking;
The department quality control unit is used for generating quality data of the whole department, wherein the quality data comprises the qualification rate and the completion rate of the project, carrying out average processing on the quality data and outputting a quality report.
In one embodiment, the statistical dimension of the dialysis equipment statistics unit comprises facility management, personnel statistics, dialysis water detection, dialysate detection, and dialysis room disinfection detection, wherein standardized indicators of facility management and personnel statistics are statistically displayed by the auxiliary module, and notification reminding is performed by the auxiliary module on standardized indicators of dialysis water, dialysate, and dialysis room disinfection detection.
In one embodiment, the quality control module further includes analyzing and calculating the standardized indexes of the process control statistics unit to obtain a dialysis process control rate of each standardized index and an average control rate of all the standardized indexes, comparing the dialysis process control rate of each standardized index with the average control rate in turn to obtain an index lower than the average control rate, and notifying and reminding through the auxiliary module.
In one embodiment, the quality control module further includes analyzing and calculating the standardized indexes of the quality result statistics unit to obtain dialysis quality result data of each standardized index, sorting the dialysis quality results, determining a result median, comparing the dialysis quality result of each standardized index with the result median in sequence to obtain an index lower than the result median, and notifying and reminding through the auxiliary module.
In one embodiment, the quality data includes data generated by a process control statistics unit, data generated by a quality results statistics unit, and dialysis water, dialysate, and dialysis room disinfection data generated by a dialysis device statistics unit.
In one embodiment, the auxiliary module comprises a completion rate up-to-standard unit and a qualification rate lifting unit; wherein,
The completion rate standard reaching unit is used for pushing the items to be detected and the patients to be detected to the responsible nurses and the patients, reminding, and displaying the items to be detected in a classified mode;
The qualification rate improving unit is used for data reminding, analysis and/or evaluation of complications, vascular access, inpatient rate, prevalence rate and patient withdrawal.
The hemodialysis quality monitoring auxiliary system is a novel hemodialysis quality monitoring auxiliary system based on an information system, data analysis and machine learning, and can help a dialysis room to conduct quality control and auxiliary improvement of dialysis quality of patients through output and management of relevant indexes of hemodialysis, and dialysis service quality is provided.
Drawings
FIG. 1 is a schematic diagram of a hemodialysis quality monitoring assistance system in one embodiment;
FIG. 2 is a schematic overall flow diagram of a hemodialysis quality monitoring assistance system in one embodiment;
FIG. 3 is an internal block diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The invention provides a hemodialysis quality monitoring auxiliary system, which comprises a data collection module 100, an index statistics module 200, a quality control module 300 and an auxiliary module 400 as shown in fig. 1-2. The index statistics module 200 generates a standardized index according to the data of the data collection module 100, and the quality control module 300 evaluates and summarizes the standardized index after receiving the standardized index, and performs statistics display or notification reminding through the auxiliary module 400, and feeds back relevant information of the notification reminding to the data collection module 100.
The data collection module 100 is configured to collect data in at least one collection dimension, the data including patient data, healthcare data, and department data.
In this module, the dimensions of the data collection, i.e. the data sources, include at least basic data of the hemodialysis room setup, patient registration information, patient test data, data generated during dialysis, medical data generated by the patient after receiving dialysis, and device management data. Meanwhile, the collection mode of the data collection module 100 at least includes system generation and file import, specifically, hemodialysis data collection can be performed through a blood drop a hint information system, a hospital HIS, LIS information system, and data can be imported through manual input or common data format files. In addition, the data format of the data collection module 100 may be standardized according to the data format required by the medical quality control index of hemodialysis technology, the standard operation procedure for blood purification (SOP) of the ministry of health, the third-level hospital review standard (2021 edition) of Guangdong, and the standard data collection specification (trial) of the national health information platform data collection standard of Shenzhen city, which are provided by the national kidney disease medical quality control center, or may be standardized according to the local data by adjusting the data format.
For some critical data, such as the time when hemodialysis is initiated in a maintenance hemodialysis patient, a chronic renal failure patient, a renal replacement therapy regimen, emergency dialysis, the number of registered hemodialysis patients or newly added annual hemodialysis patients, etc., reference is made to the existing definitions.
The index statistics module 200 is configured to count and calculate an index according to the data of the data collection module 100, generate a standardized index, and monitor the standardized index.
In the module, statistical index calculation is built in and covers indexes of a ' hemodialysis technical medical quality control index ', a blood purification Standard Operation Procedure (SOP) of a health department ', a ' Guangdong three-level hospital review standard (2021 edition) ', and a ' Shenzhen urban national health information platform data acquisition standard specification (trial) ', which are provided by a national kidney disease medical quality control center, and medical service part indexes, and the standardized indexes are used as basic ranges of system monitoring, and meanwhile, the module can also output indexes, output data sheets or report.
In one embodiment, the index statistics module 200 includes a patient data statistics unit, a dialysis equipment statistics unit, a process control statistics unit, and a quality result statistics unit.
And the patient data statistics unit is used for extracting all patient information through the patient data, and counting the patient information to generate a standardized index related to the patient.
In particular, the patient statistics of the unit include demographics, disorder statistics, dialysis age statistics, and payment statistics, wherein the demographics further include hemodialysis patient age and its composition and dialysis patient dialysis age and its composition; the disease statistics further include the prevalence of various chronic complications in chronic renal failure hemodialysis patients, the ratio of diagnostic formations of renal pathogenic disease in hemodialysis patients, and the diagnostic formations of infectious disease in hemodialysis patients; the dialysis age statistics further include a composition ratio of dialysis ages of chronic renal failure-maintaining hemodialysis patients, a composition of average number, standard deviation, median, and various hemodialysis mode examples of chronic renal failure-maintaining hemodialysis patients; the payment statistics further include patient medical payment type constituents.
The dialysis equipment statistics unit is used for counting dialysis article information, dialysis equipment management information and equipment operator information and generating equipment-related standardized indexes.
Specifically, the statistical data of the unit mainly comprises facility management, personnel statistics, dialysis water, dialysate and dialysis room disinfection, wherein the facility management comprises the number and the constitution of various dialysis devices, the actual/approved open bed number proportion, the composition ratio in the bed number area, the bed utilization rate, the layout and the functional area perfection degree; the personnel statistics is divided into doctors, nurses and other personnel, and the statistical data respectively comprises academic, title, qualification and quantity; the dialysis water comprises water quality monitoring execution rate and qualification rate, biological pollution test (bacterial culture) execution rate and qualification rate, and biological pollutant (endotoxin) test annual execution rate and qualification rate; the dialysate also comprises the execution rate and the qualification rate of bacterial culture; dialysis chamber sterilization in turn includes completion rates and qualification rates.
The process control statistical unit is used for counting patient marker detection information, blood test information and urea information and generating standardized indexes related to the dialysis process.
Specifically, the statistical data of the unit mainly comprises a new patient marker detection execution rate, a timing test completion rate and a record completion rate, wherein the detection of the new patient marker detection execution rate at least comprises an AIDS virus, hepatitis B, hepatitis C and treponema pallidum, and the content of the timing test completion rate at least comprises a blood routine, a blood biochemical, a serum ferritin, a transferrin saturation, a full-segment parathyroid hormone (iPTH), a serum prealbumin, a beta 2 microglobulin, a C-reactive protein (CRP), a hepatitis B virus marker, a hepatitis C virus marker and a blood-borne infectious disease marker; the recorded rates mainly include urea removal index (Kt/V) and urea decline rate (URR).
The quality result statistics unit is used for counting complication information, blood permeation pipeline information, infection information, patient hospitalization and withdrawal information and generating a dialysis quality related standardized index.
In particular, the statistics of the unit mainly comprise complications, hemodialysis lines, hospitalization, infection and patient withdrawal, wherein the complications mainly comprise two result indexes, one is the hemodialysis quality control rate, and the indexes specifically comprise renal anemia, blood calcium, blood phosphorus, iPTH, serum albumin, urea clearance index (Kt/V), urea decline rate (URR), weight gain, kidney disease-mineral and bone abnormality and hypertension, and the other is the complications in dialysis, and the complications specifically comprise hypertension control rate and hypotension incidence rate; for a hemodialysis line, there are mainly the following indexes: the long-term dialysis vascular access composition ratio, the arteriovenous internal fistula patency rate, the arteriovenous internal fistula long-term use rate and the incidence rate of catheter related infection; for hospitalization, the annual hospitalization rate and the hospitalization reason composition ratio of the maintenance hemodialysis patients are mainly counted; the statistics of infection conditions mainly comprise the number of patients with negative blood-borne infectious diseases and the incidence rate of hepatitis B and hepatitis C of patients with maintenance hemodialysis; the statistics of patient withdrawal are mainly composed of reasons for the withdrawal of hemodialysis patients from hemodialysis treatment, annual mortality of hemodialysis patients and ratios of the reasons for the death of hemodialysis patients.
The quality control module 300 is used for forming department data according to each patient data, feeding back and reminding medical staff of dialysis quality data, and generating a quality report.
Specifically, a hemodialysis quality index base of the whole dialysis room is formed on the basis of a single patient, index monitoring reminding is carried out on three levels of the single patient, medical staff (responsible doctor or nurse) and the dialysis room, the doctor, the nurse, the responsible doctor, the responsible nurse and the responsibility person of the dialysis room are helped to carry out hemodialysis quality control, the dialysis quality is known, and accordingly index monitoring timely reminding is obtained.
In one embodiment, the quality control module 300 includes a patient quality control unit, a healthcare quality control unit, and a department quality control unit, wherein:
The patient quality control unit generates patient dialysis quality data for a single patient, including quality control index content and a single patient dialysis quality reminder, in combination with the standardized indices generated by the patient's dialysis record and index statistics module 200.
Specifically, in this unit, the content of the quality control command includes at least infection examination, index detection, hemodialysis sufficiency assessment (specifically including dry weight, pre-permeabilized weight, post-permeabilized weight, kt/V, URR change, etc.), complication records, vascular access statistics (specifically including type, status, complications, infection records, etc.), and hospitalization reports.
In the unit, dialysis quality reminding is required to be carried out on a single patient, wherein reminding content at least comprises countdown reminding for detecting the nearby infection and indexes, the reminding specifically comprises marking the patient needing to be detected in the close vicinity of the detection date (less than or equal to 31 days), and forming reminding to push to nurses and doctors; reminding patients with insufficient dialysis, specifically reminding patients with single-chamber urea clearance (Kt/V) <2 and urea decline (URR) <65%, and reminding patients with pre-penetration weight, dry weight and post-penetration weight change exceeding 5%; a patient with complications is reminded, and the reminding is specifically recorded and reminded for the patient with complications; a vascular access change reminder, which specifically marks the vascular access change of the patient and reminds a doctor and a nurse to check; identifying and reminding the inpatient; and (5) reminding the change of the hospitalization records.
The medical quality control unit evaluates hemodialysis work of doctors and nurses in a dialysis room, and combines patient dialysis quality data of responsible patients, particularly quality control index content of patients, of each medical staff to evaluate and summarize, so as to generate evaluation summary data, wherein the evaluation summary data comprises dialysis quality reminding and dialysis quality ranking.
Specifically, the unit comprises two parts of dialysis quality reminding and dialysis quality ranking, wherein for the dialysis quality reminding part, patient reminding data with a proximity detection item are pushed to a responsible doctor and a responsible nurse to which the patient belongs, and for each medical event of the patient, the responsible doctor and the responsible nurse to which the patient belongs are reminded. The dialysis quality ranking part further comprises a responsible doctor ranking and a doctor comparison ranking, wherein the responsible doctor ranking refers to ranking the completion rate and the qualification rate of dialysis patients based on the same responsible doctor, represents the comparison among all patients of the responsible doctor, specifically, calculates the average completion rate according to the completion rates of all patients, and represents the comparison among all patients. The doctor comparison ranking refers to ranking based on the completion rate and the qualification rate of dialysis patients by taking each responsible doctor as a reference in the scope of a dialysis room, specifically ranking the qualification rates of all patients, selecting a median as a reference, and reminding doctors with average qualification rates below the median.
The department quality control unit is used for generating quality data of the whole department, wherein the quality data comprises the qualification rate and the completion rate of the project, carrying out average value processing on the quality data and outputting a quality report.
In one embodiment, in the unit, the quality data includes data generated by a process control statistics unit, data generated by a quality results statistics unit, and dialysis water, dialysate, and dialysis room disinfection data generated by a dialysis device statistics unit. Specifically, the qualification rate and completion rate of the entire dialysis chamber include statistical data of the process control statistical unit generation and quality result statistical unit, qualification rates and completion rates of the dialysis water and the dialysis liquid, and disinfection qualification rate of the dialysis chamber.
In one embodiment, the unit may also average the completion/pass rates of all the items separately to form an average completion/average pass rate, which is scored as a score, which is a reference score for quality control for each quarter.
In one embodiment, the unit may also perform quality control data or report output according to different requirements and quality control indexes to meet the quality control requirements.
In one embodiment, the unit aggregates the information at quarterly time intervals, outputting a dialysis room statistics report.
The auxiliary module 400 is used for pushing reminding of data and/or results, and risk assessment and analysis. Specifically, the assistance module 400 assists the dialysis quality control, and in one embodiment, the assistance module 400 includes a completion rate compliance unit and a qualification rate improvement unit. Wherein,
The completion rate standard reaching unit is used for providing completion rate standard reaching assistance and is used for pushing the items to be detected and the patients to be detected to the responsible nurses and the patients, reminding and displaying the items to be detected in a classified mode.
In one embodiment, the unit specifically comprises two aspects of reminding push and countdown limitation, wherein the reminding push mainly comprises the steps of detecting completion reminding, reminding and pushing detected items to be detected and patients to be detected to responsible nurses and patients, and carrying out classified display according to factors such as time limit, items and the like. The countdown limit is based on a time limit, and frequent prompts are given to the item to be performed during the remaining period of the countdown, preferably three days, to prevent the patient or healthcare worker from missing.
The qualification rate improving unit is mainly used for data reminding, analysis and/or evaluation of complications, vascular access, inpatient rate, prevalence rate and patient withdrawal.
In one embodiment, the unit includes reducing complications, in particular, first performing a complication risk assessment and prediction, for a new patient, giving the patient the chance of occurrence of complications based on biochemical tests and physical examination assessments of the new patient, for a maintenance dialysis patient, performing a complication prediction before each dialysis based on the patient's dialysis record and dialysis orders. And secondly, carrying out complication correlation analysis, mainly aiming at the occurrence condition of the complications of the patient, giving out correlation analysis and causal analysis, so as to suggest a dialysis doctor's advice, a medication doctor's advice and a nursing heritage. Finally, the dialysis sufficiency assessment is carried out, mainly based on the weight change of the patient and the dialysis doctor's advice, and the dialysis sufficiency analysis is carried out, so that the middle-and-long-term complications are avoided.
In one embodiment, the unit further comprises vascular access quality management, primarily vascular access change alerts and anticoagulation use recommendations.
In one embodiment, the unit further comprises infection rate elimination by providing a countdown limit. Specifically, the device sterilization is set to a countdown mode, and if sterilization is not completed within a prescribed time period, the device will be restricted from being used. In addition, the disinfection completion rate and the qualification rate are monitored, and by setting, the disinfection completion rate and the qualification rate are required to be 100%, if the situation of being lower than 100% occurs, the unit only displays a disinfection prompt until the disinfection is completed and the qualification rate is rechecked to be 100%, and other functions of the system can be continuously operated.
In one embodiment, the standardized indicators generated by the patient data statistics unit are statistically presented by the auxiliary module 400, and the standardized indicators generated by the process control statistics unit and the quality result statistics unit are notified by the auxiliary module 400. The statistical dimension of the dialysis equipment statistical unit comprises facility management, personnel statistics, dialysis water detection, dialysate detection and dialysis room disinfection detection, wherein standardized indexes of the facility management and the personnel statistics are statistically displayed through the auxiliary module 400, and notification reminding is carried out on the standardized indexes of the dialysis water, the dialysate and the dialysis room disinfection detection through the auxiliary module 400.
In one embodiment, the quality control module 300 further includes analyzing and calculating the standardized indicators of the process control statistics unit to obtain a dialysis process control rate of each standardized indicator and an average control rate of all standardized indicators, comparing the dialysis process control rate of each standardized indicator with the average control rate in turn to obtain an indicator lower than the average control rate, and notifying and reminding the auxiliary module 400.
In one embodiment, the quality control module 300 further includes analyzing and calculating the standardized indexes of the quality result statistics unit to obtain dialysis quality result data of each standardized index, sorting dialysis quality results, determining a result median, sequentially comparing the dialysis quality result of each standardized index with the result median to obtain an index lower than the result median, and notifying and reminding through the auxiliary module 400.
The various modules in the system described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The hemodialysis quality monitoring auxiliary system comprises five stages of quality improvement auxiliary, patient quality control, quality control index, responsible doctor quality control and statistics reminding. ,
And a quality improvement assisting stage, which is used for carrying out improvement assisting on main indexes of a patient quality control stage and at least comprises the steps of carrying out countdown limitation and notification reminding on the detection and detection record completion condition of the new patient standard substance and respectively managing the detection result, the complications and the vascular access.
And a patient quality control stage, wherein the stage is related data received and imported, and mainly comprises patient information, new patient standard detection, detection record completion, detection result, complications, vascular access, hospitalization record and other data. At this stage, the collected data is passed on to the next stage.
And a quality control index stage, wherein the quality control index stage is used for calculating the data of the quality control stage of the patient to generate a standardized index. Wherein, patient statistics data are generated by patient information, dialysis process control statistics are generated by the detection and detection record completion of the new patient standard substance, and dialysis quality result statistics are generated by the detection results, complications, vascular access and hospitalization records. In addition, dialysis device management statistics are generated at this stage.
And the quality control stage of the responsible doctor is mainly to analyze and evaluate part of statistics of the quality control index stage. The method mainly comprises the steps of calculating the dialysis process control rate of dialysis process control statistics, comparing the dialysis process control rate with the tie control rate, and feeding back data lower than the average control rate. And ranking dialysis quality results for the dialysis quality results statistics, and feeding back data below the median of the results.
And the statistics reminding stage mainly comprises statistics display and notification reminding, and corresponding statistics reminding is carried out according to different indexes transmitted in the quality control index stage and the quality control stage of the responsible doctor. Specifically, the patient statistics data and the dialysis equipment management statistics except for the dialysis room disinfection, the dialysis liquid and the dialysis water detection in the quality control stage are statistically displayed, and notification reminding is carried out on the five items of the dialysis room disinfection, the dialysis liquid, the dialysis water detection, the dialysis process control statistics, the dialysis quality result statistics and the lower-than-average control rate and the lower-than-result median of the dialysis equipment management statistics, and the notification reminding is fed back to the quality improvement auxiliary stage, so that the hemodialysis quality is assisted to be improved.
It should be understood that, although the steps in the flowchart are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the figures may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or other steps.
In one embodiment, a computer device is also provided, which may be a data management server, the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external data source terminal through network connection so as to receive data uploaded by the data source terminal. The computer program is executed by a processor to implement a method of hemodialysis quality monitoring assistance.
It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the hemodialysis quality monitoring assistance method described above when executing the computer program.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The invention provides a hemodialysis quality monitoring auxiliary system which can monitor hemodialysis quality and timely remind the condition of hemodialysis quality based on an information system, data analysis and machine learning. The hemodialysis quality is assisted to be improved, and the hemodialysis quality index is assisted to be improved. Through the output and management of the indexes, the quality control of the dialysis room can be assisted, the dialysis quality of a patient can be assisted to be improved, and the dialysis service quality can be provided.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (1)
1. A hemodialysis quality monitoring assistance system, the system comprising:
A data collection module for collecting data of at least one collection dimension, the data including patient data, healthcare data, and department data;
the index statistics module is used for counting and calculating indexes according to the data of the data collection module, generating a standardized index and monitoring the standardized index;
The quality control module is used for forming department data according to each patient data, feeding back and reminding medical staff of dialyzing quality data and generating a quality report;
the auxiliary module is used for pushing and reminding data and/or results, and evaluating and analyzing risks;
The quality control module receives the standardized indexes, evaluates and summarizes the standardized indexes, and performs statistics display or notification reminding through the auxiliary module, and feeds back relevant information of the notification reminding to the data collection module;
the quality control module comprises a patient quality control unit, a medical care quality control unit and a department quality control unit;
The patient quality control unit is used for generating patient dialysis quality data aiming at a single patient by combining the dialysis record of the patient with the standardized index generated by the index statistics module, wherein the patient dialysis quality data comprises quality control index content and dialysis quality reminding of the single patient;
The medical quality control unit is used for generating evaluation summary data aiming at medical staff in the department and combining patient dialysis quality data of responsible patients to which each medical staff belongs, wherein the evaluation summary data comprises dialysis quality reminding and dialysis quality ranking;
The department quality control unit is used for generating quality data of the whole department, wherein the quality data comprises the qualification rate and the completion rate of the project, carrying out average value processing on the quality data and outputting a quality report;
The quality control module further comprises analysis and calculation of standardized indexes of the process control statistical unit to obtain dialysis process control rate of each standardized index and average control rate of all standardized indexes, the dialysis process control rate of each standardized index is compared with the average control rate in sequence to obtain indexes lower than the average control rate, and notification and reminding are carried out through the auxiliary module;
the quality control module further comprises analysis and calculation of standardized indexes of the quality result statistics unit to obtain dialysis quality result data of all the standardized indexes, sequencing of the dialysis quality results, determination of the median of the results, comparison of the dialysis quality result of each standardized index with the median of the results in sequence to obtain indexes lower than the median of the results, and notification and reminding through the auxiliary module;
The auxiliary module comprises a completion rate up-to-standard unit and a qualification rate lifting unit; the completion rate standard reaching unit is used for pushing the items to be detected and the patients to be detected to the responsible nurses and the patients, reminding, and displaying the items to be detected in a classified mode;
the qualification rate improving unit is used for prompting, analyzing and/or evaluating data of complications, vascular access, inpatient rate, prevalence rate and patient withdrawal;
The collection dimension comprises department basic data, patient data, test data, process data, post-dialysis data and equipment management data, and the collection mode of the data collection module at least comprises system generation and file import;
The index statistics module comprises a patient data statistics unit, a dialysis equipment statistics unit, a process control statistics unit and a quality result statistics unit;
The patient data statistics unit is used for extracting all patient information through the patient data, counting the patient information and generating a standardized index related to the patient;
The dialysis equipment statistics unit is used for counting dialysis article information, dialysis equipment management information and equipment operator information and generating equipment-related standardized indexes;
the process control statistical unit is used for counting patient marker detection information, blood test information and urea information and generating standardized indexes related to the dialysis process;
The quality result statistics unit is used for counting complication information, hemodialysis pipeline information, infection information, patient hospitalization and withdrawal information and generating a dialysis quality related standardized index;
the standardized indexes generated by the patient data statistics unit are statistically displayed through the auxiliary module, and the standardized indexes generated by the process control statistics unit and the quality result statistics unit are notified and reminded through the auxiliary module;
the statistical dimension of the dialysis equipment statistical unit comprises facility management, personnel statistics, dialysis water detection, dialysate detection and dialysis room disinfection detection, wherein standardized indexes of the facility management and personnel statistics are statistically displayed through an auxiliary module, and notification and reminding are carried out on the standardized indexes of the dialysis water, the dialysate and the dialysis room disinfection detection through the auxiliary module;
The quality data includes data generated by the process control statistics unit, data generated by the quality results statistics unit, and dialysis water, dialysate, and dialysis room disinfection data generated by the dialysis equipment statistics unit.
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| KR20160136875A (en) * | 2015-05-21 | 2016-11-30 | 연세대학교 산학협력단 | Apparatus and method for management of performance assessment |
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| JP7260742B2 (en) * | 2018-12-27 | 2023-04-19 | ニプロ株式会社 | Dialysis information management system, dialysis information management method, and dialysis information management program |
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| CN110694126A (en) * | 2019-10-23 | 2020-01-17 | 西安交通大学医学院第一附属医院 | Monitoring system for continuous blood purification |
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| CN112843363A (en) * | 2020-12-31 | 2021-05-28 | 复旦大学附属华山医院 | Procedure management system for dialysis patients |
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