Abstract
The clinical nursing work based on the establishment and improvement of the clinical nursing system breaks through the traditional nursing work model, which has achieved the advantages of full traceability, practical operation, comprehensive analysis, and individual error correction of nursing work, and greatly improves the nursing quality and work efficiency of nurses. With the advent of the era of big data, how to organically combine data mining technology with nursing information to optimize the nursing information system, apply big data to clinical nursing work through nursing information system, and provide patients with more efficient, high-quality, and safe nursing services is a problem that needs urgent consideration in today’s era. Therefore, this research is based on the framework of the hospital’s existing clinical care system, using data mining technology to improve the Bayesian algorithm and data preprocessing, optimizes the design of functional modules in the clinical nursing management system, and optimizes the patient information management, medical order management, medical order execution management, basic information and expense management, nursing execution process management, system and data management, barcode management, physical sign management, WAP information management, and other subsystems in the clinical nursing information management system. Experiments have proved that the use of a data mining-based clinical care management system can simplify user operations and improve users’ application of software. The application system of nursing methods based on data mining technology more completely integrates nursing information management business, makes nursing information management initially “digital,” and can improve the quality of hospital care to a large extent.
Highlights
E current information construction in our country lacks a unified standard for electronic medical records and clinical nursing practice records, and a unified nursing information standard system has not yet been formed, which limits the exchange and resource sharing of nursing information between hospitals and between our country and other countries [5]
Most of the domestic nursing information system is developed by the company itself, and the nurses put Complexity forward the needs of the clinical nursing management system to the software developers according to the needs of clinical work, so as to carry out the research and development of the system [6]. is kind of hospital information system development model only adapts to the needs of a certain hospital, without forming a unified information system, which causes unevenness in the development of hospital information software, resulting in a waste of resources and restricting the clinical care management system
How to effectively interpret and apply patient big data to implement full-process, real-time, and personalized management of patients, how to integrate data from different levels, categories, and sources, how to extract valuable data to effectively guide nursing quality management, how to improve the difficulty of data collection, collection delay, and irregular transcription, how to organically combine data mining with nursing information to optimize the clinical nursing management system, so that big data can be applied to clinical nursing work through the nursing information system, and how to provide patients with more efficient, highquality, and safe nursing services are issues that need urgent consideration in today’s era
Summary
Nursing Department, e First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, China. Erefore, this research is based on the case of a large domestic tertiary hospital, combining with the hospital’s reform plan in clinical nursing management, using data mining technology as an auxiliary means, analyses, designs, and optimizes the patient information, doctor’s order information, vital signs information and health education, and other business processes involved in the hospital’s nursing information management system, and explains the whole process of nursing information management system from demand analysis, system design to final operation, and testing. 3. Optimization of Clinical Nursing Management System Based on Data Mining e application of data based on data mining technology can help nurses and medical staff make correct judgments and provide patients with timely and accurate care, thereby improving the quality of medical services and ensuring patient safety. It is proposed that while advancing the digitalization of clinical nursing management, it is necessary to equationate a complete prevention and response plan to ensure patient privacy and information security
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