CN113744857A - Hemodialysis quality control auxiliary system - Google Patents
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Abstract
The present application relates to a hemodialysis quality monitoring assistance system. The system comprises: a data collection module to collect data for at least one collection dimension, the data including patient data, healthcare data, and department data; the index counting module is used for counting and calculating indexes according to the data of the data collecting module, generating standardized indexes and monitoring the standardized indexes; and the quality control module is used for forming department data according to the patient data, feeding back and reminding medical personnel of dialysis quality data and generating a quality report. And the auxiliary module is used for pushing and reminding data and/or results and evaluating and analyzing risks. The invention can help the dialysis room to control the quality, assist to improve the dialysis quality of the patient and provide the dialysis service quality.
Description
Technical Field
The application relates to the technical field of medical information, and relates to a hemodialysis quality monitoring auxiliary system.
Background
Hemodialysis is one of the kidney replacement treatment modes of patients with acute and chronic renal failure. The method comprises the steps of draining blood in vivo to the outside of the body, enabling the blood and electrolyte solution (dialysate) with similar body concentration to be inside and outside one hollow fiber through a dialyzer consisting of a plurality of hollow fibers, and carrying out substance exchange through dispersion, ultrafiltration, adsorption and convection principles, so as to remove metabolic waste in the body and maintain the balance of electrolyte and acid and alkali; at the same time, the excess water in the body is removed, and the whole process of purified blood reinfusion is called hemodialysis.
The short-term goal of hemodialysis is to correct body fluid and electrolyte imbalances and remove toxins, and the long-term goal of treatment of patients with renal failure 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 performance and the quality of patient treatment, the patient needs to go 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 live, as it is an important alternative to renal therapy. Dialysis, however, often requires a team effort of cooperation. Because a plurality of processes and a plurality of devices are involved in management, the treatment quality and the life quality of patients are guaranteed, and the evaluation index of hemodialysis quality needs to be determined. 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 provides a hemodialysis quality monitoring auxiliary system, including:
a data collection module to collect data for at least one collection dimension, the data including patient data, healthcare data, and department data;
the index counting module is used for counting and calculating indexes according to the data of the data collecting module, generating standardized indexes and monitoring the standardized indexes;
and the quality control module is used for forming department data according to the patient data, feeding back and reminding medical personnel of dialysis quality data and generating a quality report.
The auxiliary module is used for pushing reminding of data and/or results and risk assessment and analysis;
the index counting module generates a standardized index according to the data of the data collection module, the quality control module evaluates and summarizes the standardized index after receiving the standardized index, and feeds back the related information of the notification prompt to the data collection module through the statistics display or notification prompt of the auxiliary 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 modes of the data collection module include at least system generation and file import.
In one embodiment, the metric 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 patient-related standardized index;
the dialysis equipment statistical unit is used for counting dialysis article information, dialysis equipment management information and equipment operator information to generate equipment-related standardized indexes;
the process control statistical unit is used for counting patient marker detection information, blood test information and urea information to generate a standard index related to the dialysis process;
the quality result counting unit is used for counting complication information, hemodialysis pipeline information, infection information and patient hospitalization and withdrawal information to generate standard indexes related to dialysis quality.
In one embodiment, 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 through 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 a dialysis record of the patient and the standardized index generated by the index statistical module, wherein the patient dialysis quality data comprises quality control index content and a dialysis quality prompt of the single patient;
the medical care quality control unit generates evaluation summary data aiming at medical care personnel in a department by combining patient dialysis quality data of responsible patients to which each medical care personnel 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, the quality data comprises the qualification rate and the completion rate of the project, the quality data is subjected to mean value processing, and a quality report is output.
In one embodiment, the statistical dimensions of the statistical unit of the dialysis equipment comprise facility management, staff statistics, dialysis water detection, dialysate detection and disinfection detection of a dialysis chamber, wherein standardized indexes of the facility management and the staff statistics are statistically displayed through an auxiliary module, and the standardized indexes of the dialysis water, the dialysate and the disinfection detection of the dialysis chamber are notified through the auxiliary module.
In an embodiment, the quality control module further performs analysis and calculation on the standardized indexes of the process control statistical unit to obtain the dialysis process control rate of each standardized index and an average control rate of all standardized indexes, compares the dialysis process control rate of each standardized index with the average control rate in sequence to obtain an index which is lower than the average control rate, and performs notification and reminding through the auxiliary module.
In an embodiment, the quality control module further includes analyzing and calculating the standardized indexes of the quality result statistical unit to obtain dialysis quality result data of each standardized index, sorting the dialysis quality results, determining a median of the results, sequentially comparing the dialysis quality result of each standardized index with the median of the results to obtain an index that will be lower than the median of the results, and performing notification 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 chamber disinfection data generated by a dialysis equipment statistics unit.
In one embodiment, the auxiliary module includes a completion compliance unit and a yield promotion unit; wherein the content of the first and second substances,
the completion rate standard reaching unit is used for pushing the items to be detected and the patients to be detected to responsibility nurses and patients, reminding the responsibility nurses and the patients, 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, hospitalization rate, morbidity 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, can help a dialysis room to perform quality control through outputting and managing hemodialysis related indexes, assists in improving the dialysis quality of a patient, and provides dialysis service quality.
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 the hemodialysis quality monitoring assistance system in one embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The invention provides a hemodialysis quality monitoring auxiliary system, as shown in fig. 1-2, comprising a data collection module 100, an index statistics module 200, a quality control module 300 and an auxiliary module 400. The index statistics module 200 generates a standardized index according to the data of the data collection module 100, 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 the related information of the notification reminding to the data collection module 100.
In this module, the dimensions of data collection, i.e. the data sources, include at least hemodialysis room-set basic data, patient registration information, patient examination data, dialysis procedure generation data, 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, and specifically, hemodialysis data collection can be performed through a hemodialysis information system, a hospital HIS, and an LIS information system, and data import can also be performed through manual input or common data format files. In addition, the data format of the data collection module 100 can be standardized and collected according to the data format required by indexes of the hemodialysis technology medical quality control index, the health department's blood purification Standard Operating Procedure (SOP), the third-level hospital review standard (2021 edition) in Guangdong province, and the data collection standard specification (trial) of the health information platform data collection standard of the whole population in Shenzhen city, provided by the national kidney disease medical quality control center, or can be adjusted according to the local data format to carry out standardized data.
For some critical data, such as the time for starting hemodialysis of a maintenance hemodialysis patient, a chronic renal failure patient, a renal replacement therapy, emergency dialysis, a registered hemodialysis patient, or the number of newly-increased hemodialysis patients, the current definition is referred to.
The index counting module 200 is used for counting and calculating indexes according to the data of the data collecting module 100, generating standardized indexes, and monitoring the standardized indexes.
In the module, the calculation of the built-in statistical indexes covers the indexes of medical quality control indexes of hemodialysis technology, the Standard Operating Procedure (SOP) of blood purification of the Ministry of health, the evaluation standard of third-level hospitals in Guangdong province (2021 edition) and the indexes of medical service parts of the data acquisition standard specification (trial) of the health information platform in Shenzhen City, which are provided by the medical quality control center of renal diseases in China, the standardized indexes are used as the basic range of system monitoring, and the module can output the indexes, output a data sheet or report the indexes.
In one embodiment, the metric statistics module 200 includes a patient data statistics unit, a dialysis device statistics unit, a process control statistics unit, and a quality results statistics unit.
And the patient data counting unit is used for extracting all patient information through the patient data, counting the patient information and generating a patient-related standardized index.
Specifically, the patient statistics of the unit include demographic data, condition statistics, dialysis age statistics, and payment statistics, wherein the demographic data further includes hemodialysis patient age and composition thereof and dialysis patient dialysis age and composition thereof; the disease statistical data further comprises the morbidity of various chronic complications of chronic renal failure hemodialysis patients, the component ratio of the pathogenic kidney disease of the hemodialysis patients and the infectious disease diagnosis of the hemodialysis patients; the dialysis age statistics further comprise the dialysis age composition ratio of the chronic renal failure maintenance hemodialysis patients, the mean dialysis age of the chronic renal failure maintenance hemodialysis patients, the standard deviation, the median, and the composition of the various hemodialysis mode instances; the payment statistics further include patient medical payment type constructs.
The dialysis equipment statistical 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 disinfection of a dialysis room, wherein the facility management also comprises the number and the composition of various devices for dialysis, actual/approved open bed number proportion, composition ratio in a bed number area, bed utilization rate and layout and the perfection degree of a functional area; the personnel statistics is divided into doctors, nurses and other personnel, and the statistical data respectively comprises a study calendar, a job title, qualification and quantity; the dialysis water also comprises water quality monitoring execution rate and qualification rate, biological pollution inspection (bacterial culture) execution rate and qualification rate, and biological pollutant (endotoxin) inspection annual execution rate and qualification rate; the dialysate also comprises the execution rate and the qualification rate of the bacteria culture; dialysis chamber disinfection again includes completion and qualification rates.
The process control statistical unit is used for counting patient marker detection information, blood test information and urea information to generate a standard index related to the dialysis process.
Specifically, the statistical data of the unit mainly comprises a newly entered patient marker detection execution rate, a timing inspection completion rate and a recording completion rate, wherein the detection of the newly entered patient marker detection execution rate at least comprises HIV, hepatitis B, hepatitis C and treponema pallidum, and the content of the timing inspection completion rate at least comprises a blood routine, blood biochemistry, serum ferritin, transferrin saturation, whole parathyroid hormone (iPTH), serum prealbumin, beta 2 microglobulin, C Reactive Protein (CRP), hepatitis B virus markers, hepatitis C virus markers and blood-borne infectious disease markers; the recorded completion rate mainly includes urea clearance index (Kt/V) and urea decline rate (URR).
The quality result counting unit is used for counting complication information, hemodialysis pipeline information, infection information and patient hospitalization and withdrawal information to generate standard indexes related to dialysis quality.
Specifically, the statistical data of the unit mainly comprises complications, hemodialysis pipelines, hospitalization, infection and patient withdrawal, wherein the complications mainly comprise two result indexes, one is hemodialysis quality control rate, the indexes specifically comprise renal anemia, blood calcium, blood phosphorus, iPTH, serum albumin, urea clearance index (Kt/V), Urea Reduction Rate (URR), weight gain, renal diseases-mineral and bone abnormality and hypertension, and the other is dialysis complications specifically comprise hypertension control rate and hypotension incidence rate; for hemodialysis tube, there are several main indicators: the long-term dialysis vascular access composition ratio, the patency rate of arteriovenous internal fistula, the long-term use rate of arteriovenous internal fistula and the incidence rate of catheter-related infection; for hospitalization, the annual hospitalization rate and the hospitalization cause ratio of the maintenance hemodialysis patients are mainly counted; the statistics of infection conditions mainly comprise the number of patients with negative positive conversion of blood-borne infectious diseases and the incidence of hepatitis B and hepatitis C of patients with maintenance hemodialysis; the statistics of patient withdrawal are mainly the composition of reasons for withdrawal of hemodialysis patients from hemodialysis treatment, the annual death rate of hemodialysis patients and the composition of reasons for death of hemodialysis patients.
And the quality control module 300 is used for forming department data according to the data of each patient, feeding back and reminding medical staff of dialysis quality data and generating a quality report.
Specifically, a hemodialysis quality index basis 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 doctors or nurses) and the dialysis room, and the hemodialysis quality control method helps doctors, nurses, responsible doctors, responsible nurses and responsible persons in the dialysis room to control the hemodialysis quality and know the dialysis quality, so that index monitoring prompt is obtained.
In one embodiment, 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 in combination with the dialysis record of the patient and the standardized index generated by the index statistics module 200, wherein the patient dialysis quality data comprises quality control index content and dialysis quality prompt of the single patient.
Specifically, in this unit, the content of quality control at least includes infection examination, index detection, hemodialysis adequacy assessment (including dry weight, pre-dialysis weight, post-dialysis weight, Kt/V, URR change, etc.), complication record, vascular access statistics (including type, state, complication, infection record, etc., specifically), and hospitalization report.
In the unit, dialysis quality reminding needs to be carried out on a single patient, wherein the reminding content at least comprises countdown reminding for approaching infection and index detection, the reminding is to mark the patient needing to be detected in the immediate detection date (less than or equal to 31 days), and reminding is formed and pushed to nurses and doctors; reminding a patient with insufficient dialysis, wherein the reminding is specifically to remind the patient with single-chamber urea clearance rate (Kt/V) <2 and Urea Reduction Rate (URR) < 65%, and remind the patient with pre-dialysis weight, dry weight and post-dialysis weight change of more than 5%; reminding a patient with complication, wherein the reminding is to record and remind the patient with complication; the method comprises the following steps of (1) reminding of blood vessel access change, wherein the reminding is specifically to label the blood vessel access change of a patient and remind a doctor and a nurse to check the blood vessel access change; inpatient identification reminding; and prompting the change of the hospitalization record.
The medical care quality control unit evaluates hemodialysis work of doctors and nurses in a dialysis room aiming at medical care personnel in a department room, evaluates and summarizes the hemodialysis quality data of patients of responsibility patients to which each medical care personnel belongs, specifically quality control index content of the patients, and generates evaluation summary data, wherein the evaluation summary data comprises dialysis quality reminding and dialysis quality ranking.
Specifically, the unit comprises a dialysis quality reminding part and a dialysis quality ranking part, wherein for the dialysis quality reminding part, the patient reminding data with the items close to detection are pushed to the responsible doctor and the 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 is that the completion rate and the qualification rate of dialysis patients of the responsible doctors are ranked on the basis of the same responsible doctor, and the comparison among all patients of the responsible doctors is embodied, specifically, the average completion rate is calculated according to the completion rate of all patients, so that the comparison among all patients is embodied. The doctor comparison ranking refers to ranking based on the completion rate and the qualification rate of dialysis patients in a dialysis room range by taking each responsible doctor as a reference, specifically ranking the qualification rates of all patients, selecting a median as a reference, and reminding doctors with average qualification rate below the median.
The department quality control unit is used for generating quality data of the whole department, the quality data comprises the qualification rate and the completion rate of the project, the quality data is subjected to mean processing, and a quality report is output.
In one embodiment, the quality data in the unit includes data generated by the process control statistics unit, data generated by the quality results statistics unit, and dialysis water, dialysate, and dialysis chamber disinfection data generated by the dialysis equipment statistics unit. Specifically, the qualification rate and the completion rate of the whole dialysis chamber comprise statistical data generated by the process control statistical unit and obtained by the quality result statistical unit, the qualification rate and the completion rate of dialysis water and dialysate, and the qualification rate of disinfection of the dialysis chamber.
In one embodiment, the unit may further average the completion/pass rates of all the projects to form an average completion/pass rate, which is recorded as a score as a reference score for the quarterly quality control.
In one embodiment, the unit can also output quality control data or reports according to different requirements and quality control indexes so as to meet quality control requirements.
In one embodiment, the unit aggregates information on a quarterly time scale, outputting a dialysis room statistical indicator report.
And the auxiliary module 400 is used for pushing reminding of data and/or results and risk assessment and analysis. Specifically, the auxiliary module 400 is to assist the dialysis quality control, and in one embodiment, the auxiliary module 400 includes a completion compliance unit and a yield promotion unit. Wherein the content of the first and second substances,
and the completion rate standard-reaching unit is used for providing completion rate standard-reaching assistance, pushing the items to be detected and the patients to be detected to responsibility nurses and patients, reminding the responsibility nurses and displaying the items to be detected in a classified mode.
In one embodiment, the unit specifically comprises two aspects of reminding pushing and countdown limiting, wherein the reminding pushing mainly takes detection completion reminding as a main aspect, reminds and pushes detection items to be performed and patients to be detected to responsibility nurses and patients, and performs classified display according to time limit, items and other factors. The countdown limit is based on a time limit for which items are frequently reminded of the time remaining in the countdown, preferably three days, to prevent the patient or medical personnel from missing.
And the qualification rate improving unit is mainly used for data reminding, analysis and/or evaluation of complications, vascular access, hospitalization rate, morbidity and patient withdrawal.
In one embodiment, the unit includes reducing complications, specifically, first performing a complication risk assessment and prediction, for a newly entered patient, giving the patient a chance of complication occurrence based on biochemical tests and physical examination assessments of the newly entered patient, and for a maintenance dialysis patient, performing a complication prediction prior to each dialysis based on the patient's dialysis record and dialysis order. And secondly, carrying out complication correlation analysis, wherein correlation analysis and causal analysis are given mainly aiming at the complication occurrence condition of the patient, so as to recommend dialysis advice, medication advice and nursing advice. And finally, carrying out dialysis sufficiency evaluation, wherein dialysis sufficiency analysis is carried out mainly based on the weight change and the dialysis medical advice of the patient, and the middle-term and long-term complications are avoided.
In one embodiment, the unit further comprises vascular access quality management, mainly for vascular access change reminding and anticoagulation use suggestion.
In one embodiment, the unit further comprises a counter-timer limit to provide infection rate elimination. Specifically, the device sterilization is set to a countdown mode, and if sterilization is not completed within a prescribed time limit, the device will be restricted from use. In addition, the disinfection completion rate and the qualification rate are monitored, the disinfection completion rate and the qualification rate are required to be 100% through setting, if the disinfection completion rate and the qualification rate are lower than 100%, the unit only displays the disinfection prompt, and other functions of the system cannot be continuously operated until the disinfection is completed and the qualification rate is rechecked to be 100%.
In one embodiment, the standardized index generated by the patient data statistics unit is statistically displayed through the auxiliary module 400, and the standardized indexes generated by the process control statistics unit and the quality result statistics unit are notified through the auxiliary module 400. The statistics dimension of the dialysis device statistics unit comprises facility management, personnel statistics, dialysis water detection, dialysate detection and dialysis chamber disinfection detection, wherein the standardized indexes of the facility management and the personnel statistics are subjected to statistics display through the auxiliary module 400, and the dialysis water, the dialysate and the dialysis chamber disinfection detection standardized indexes are notified and reminded through the auxiliary module 400.
In one embodiment, the quality control module 300 further comprises analyzing and calculating the standardized indexes of the process control statistical unit to obtain the dialysis process control rate of each standardized index and the average control rate of all standardized indexes, sequentially comparing the dialysis process control rate of each standardized index with the average control rate to obtain an index to be lower than the average control rate, and performing notification and reminding through the auxiliary module 400.
In one embodiment, the quality control module 300 further comprises analyzing and calculating the standardized indexes of the quality result statistic unit to obtain dialysis quality result data of each standardized index, sorting the dialysis quality results, determining a median of the results, sequentially comparing the dialysis quality result of each standardized index with the median of the results to obtain an index lower than the median of the results, and performing notification and reminding through the auxiliary module 400.
The various modules in the above-described system may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The hemodialysis quality monitoring auxiliary system comprises five stages of quality improvement assistance, patient quality control, quality control indexes, responsible doctor quality control and statistical reminding. ,
and a quality improvement assisting stage, which is used for improving and assisting main indexes of the patient quality control stage, at least comprises countdown limitation and notification reminding for the detection of the newly entered patient standard substance and the completion of the detection record, and respectively manages the detection result, the complications and the vascular access.
And in the patient quality control stage, the relevant data received and imported mainly comprises data such as patient information, newly-entered patient standard substance detection, detection record completion, detection results, complications, vascular access, hospitalization records and the like. At this stage, the collected data is passed to the next stage.
And a quality control index stage, in which data of the patient quality control stage is calculated to generate a standardized index. The method comprises the steps of generating patient statistical data according to patient information, completing dialysis process control statistics according to newly-entered patient standard substance detection and detection records, and generating dialysis quality result statistics according to detection results, complications, vascular access and hospitalization records. In addition, dialysis equipment management statistics are generated at this stage.
And a quality control stage of responsible doctors, which mainly analyzes and evaluates partial statistics of the quality control index stage. The control rate of the dialysis process is calculated according to the control statistics of the dialysis process, and compared with the average control rate, and data lower than the average control rate is fed back. And ranking the dialysis quality results according to the dialysis quality result statistics, and feeding back data lower than the median of the results.
And a statistic reminding stage, which mainly comprises statistic display and notification reminding, and carries out corresponding statistic reminding according to different indexes transmitted in the quality control index stage and the quality control stage of responsible doctors. Specifically, the statistics of the patient statistical data in the quality control stage and the management statistics of the dialysis equipment except for the disinfection of the dialysis chamber, the detection of the dialysis liquid and the detection of the dialysis water are statistically displayed, the disinfection of the dialysis chamber, the detection of the dialysis liquid and the detection of the dialysis water in the management statistics of the dialysis equipment, the control statistics of the dialysis process, the statistics of the dialysis quality results, the number of the results lower than the average control rate and the number of the results lower than the median are notified and reminded, and the notification is reminded and fed back to the quality promotion auxiliary stage, so that the hemodialysis quality is promoted in an auxiliary manner.
It should be understood that, although the steps in the flowchart are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, a computer device is also provided, and the computer device may be a data management server, and the internal structure diagram thereof 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 comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer equipment 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.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising 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 when executing the computer program.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile 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 DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The invention provides a hemodialysis quality monitoring auxiliary system which can monitor hemodialysis quality and remind hemodialysis quality in time based on an information system, data analysis and machine learning. The hemodialysis quality is assisted to be promoted, and the hemodialysis quality index is helped to be promoted. Through the output and the management to these indexs, can help the dialysis room to carry out the quality management and control, the supplementary quality of improving patient's dialysis provides the quality of service of dialysis.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A hemodialysis quality monitoring assistance system, the system comprising:
a data collection module to collect data for at least one collection dimension, the data including patient data, healthcare data, and department data;
the index counting module is used for counting and calculating indexes according to the data of the data collecting module, generating standardized indexes and monitoring the standardized indexes;
and the quality control module is used for forming department data according to the patient data, feeding back and reminding medical personnel of dialysis quality data and generating a quality report.
The auxiliary module is used for pushing reminding of data and/or results and risk assessment and analysis;
the index counting module generates a standardized index according to the data of the data collection module, the quality control module evaluates and summarizes the standardized index after receiving the standardized index, and feeds back the related information of the notification prompt to the data collection module through the statistics display or notification prompt of the auxiliary module.
2. The system of claim 1, wherein the collection dimensions comprise department basis data, patient data, test data, procedure data, post-dialysis data, and device management data, and wherein the collection modes of the data collection module comprise at least system generation and file import.
3. The system of claim 1, wherein the metric statistics module comprises a patient data statistics unit, a dialysis device statistics unit, a process control statistics unit, and a quality results 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 patient-related standardized index;
the dialysis equipment statistical unit is used for counting dialysis article information, dialysis equipment management information and equipment operator information to generate equipment-related standardized indexes;
the process control statistical unit is used for counting patient marker detection information, blood test information and urea information to generate a standard index related to the dialysis process;
the quality result counting unit is used for counting complication information, hemodialysis pipeline information, infection information and patient hospitalization and withdrawal information to generate standard indexes related to dialysis quality.
4. The system of claim 3, wherein the standardized index generated by the patient data statistics unit is statistically displayed by the auxiliary module, and the standardized indexes generated by the process control statistics unit and the quality result statistics unit are notified by the auxiliary module.
5. The system of claim 4, wherein 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 a dialysis record of the patient and the standardized index generated by the index statistical module, wherein the patient dialysis quality data comprises quality control index content and a dialysis quality prompt of the single patient;
the medical care quality control unit generates evaluation summary data aiming at medical care personnel in a department by combining patient dialysis quality data of responsible patients to which each medical care personnel 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, the quality data comprises the qualification rate and the completion rate of the project, the quality data is subjected to mean value processing, and a quality report is output.
6. The system of claim 5, wherein the statistical dimensions of the dialysis equipment statistical unit comprise facility management, staff statistics, dialysis water detection, dialysate detection, and dialysis room disinfection detection, wherein standardized indicators of the facility management and staff statistics are statistically displayed through the auxiliary module, and the standardized indicators of the dialysis water, the dialysate, and the dialysis room disinfection detection are notified through the auxiliary module.
7. The system of claim 5, wherein the quality control module further comprises analyzing and calculating the standardized indexes of the process control statistical unit to obtain the dialysis process control rate of each standardized index and the average control rate of all standardized indexes, comparing the dialysis process control rate of each standardized index with the average control rate in turn to obtain an index which will be lower than the average control rate, and performing notification reminding through the auxiliary module.
8. The system of claim 5, wherein the quality control module further comprises analyzing and calculating the standardized indexes of the quality result statistic unit to obtain dialysis quality result data of each standardized index, sorting the dialysis quality results, determining a median of the results, sequentially comparing the dialysis quality result of each standardized index with the median of the results to obtain an index lower than the median of the results, and performing notification reminding through the auxiliary module.
9. The system of claim 7, wherein the quality data comprises 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 equipment statistics unit.
10. The system of claim 1, wherein the auxiliary module comprises a completion compliance unit and a yield promotion unit; wherein the content of the first and second substances,
the completion rate standard reaching unit is used for pushing the items to be detected and the patients to be detected to responsibility nurses and patients, reminding the responsibility nurses and the patients, 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, hospitalization rate, morbidity and patient withdrawal.
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