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Related Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
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 II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
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 Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

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Related Experiment Video

Updated: May 19, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

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Published on: April 13, 2021

[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.

Zhejiang Da Xue Xue Bao. Yi Xue Ban = Journal of Zhejiang University. Medical Sciences
|August 29, 2012
PubMed
Summary

A comprehensive dataset for basic medical information systems was developed using a Delphi study. This credible dataset is ready for software development, improving medical data management.

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Area of Science:

  • Medical Informatics
  • Health Information Systems

Context:

  • Developing a standardized dataset is crucial for effective basic medical information systems.
  • Existing systems may lack comprehensive and validated data structures.

Purpose:

  • To establish a robust and validated dataset for basic medical information systems.
  • To refine data elements through expert consensus using the Delphi methodology.

Summary:

  • A two-round Delphi study involved literature review, brainstorming, and expert evaluation to finalize dataset items.
  • The resulting dataset comprises 20 first-level, 102 second-level, 40 third-level, and 88 fourth-level items.
  • High response rates (71.79% and 92.86%) and significant expert agreement (authority coefficient 0.77) were achieved.

Impact:

  • The developed dataset is deemed credible and suitable for the development of related medical information software.
  • Facilitates standardized data collection and management in healthcare settings.