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Related Concept Videos

Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
Standards of Care II01:19

Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:
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:
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
Ethical Standards II01:23

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy and...
Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

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Related Experiment Video

Updated: May 8, 2026

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

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

Published on: April 13, 2021

Health data and data governance.

Evelyn J S Hovenga1, Heather Grain

  • 1eHealth Education Pty Ltd, Australia.

Studies in Health Technology and Informatics
|September 11, 2013
PubMed
Summary
This summary is machine-generated.

Electronic health records require structure for flexible data use. Applying data governance to Big Data analytics enhances healthcare efficiency and decision-making for improved patient care.

Related Experiment Videos

Last Updated: May 8, 2026

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

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

Published on: April 13, 2021

Area of Science:

  • Health informatics
  • Data science in healthcare
  • Information management

Background:

  • Healthcare is a knowledge industry reliant on data for care, planning, and advancement.
  • Electronic health records (EHRs) are increasingly necessary for data flexibility, accessibility, and consistent retrieval.
  • Real-time data from clinical systems and connected devices generate vast amounts of 'Big Data'.

Purpose of the Study:

  • To highlight the need for structured and consistent electronic health records.
  • To explain the benefits of applying data governance principles to health data.
  • To demonstrate how Big Data analytics can improve healthcare decision-making and efficiency.

Main Methods:

  • Exploration of data attributes and the distinction between data and information.
  • Outlining requirements for high-quality health data.
  • Discussion of health data standards and their relevance.
  • Analysis of data governance impact on system content representation and information utilization.

Main Results:

  • Electronically maintained records need greater structure and consistency for optimal use.
  • Data governance is crucial for leveraging real-time clinical data and reducing research data collection time.
  • Big Data analytics offers new insights into operational patterns, driving efficiency and safer healthcare.
  • Consistent data and knowledge rule representation is essential for clinical decision support systems.

Conclusions:

  • Structured electronic health data, governed by robust principles, is key to advancing healthcare.
  • Effective data management and analysis of Big Data lead to more efficient, safer, and informed healthcare decisions.
  • Adherence to data standards and governance ensures compatible representation for improved clinical decision support.