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[Development of datasets for basic medical information system]
Cai-qian Zhang1, Yan-min Wang, Kun Chen
1Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, Hangzhou 310058, China.
Objective:
To develop dataset for basic medical information system.
Methods:
All items of basic medical information system dataset were drafted by literature review, brain storm and group discussion. A Delphi study was conducted to evaluate and adjust the candidate items; then items were finalized based on comprehensive scores.
Results:
The final dataset developed through two-round Delphi study contained 20 first-level items, 102 second-level items, 40 third-level items and 88 fourth-level items. The response rates were 71.79% and 92.86% in round 1 and 2, respectively. The authority coefficient was both 0.77 and the coordination coefficient of the specialists' opinion was 0.239 and 0.516, respectively.
Conclusion:
The dataset for basic medical information system determined from Delphi study is credible and can be used for development of related software.
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Related Concept Videos
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Data Collection II
Data Collection I
Methods of Documentation I: Source-Oriented Records
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
Statistical Software for Data Analysis and Clinical Trials