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Related Concept Videos

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:
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
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:
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Formats for Nursing Documentation01:28

Formats for Nursing Documentation

Nursing documentation encompasses various formats designed to capture precise patient data, facilitate communication among healthcare team members, and ensure comprehensive and accurate patient records. Let's explore each of these formats in detail:
Nursing Assessment Form:
• A nursing assessment form is a foundational document that captures detailed patient data from physical assessments and nursing histories.
• It includes patient demographics, medical history, current medications, vital...

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Updated: May 22, 2026

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography
09:31

Hemodynamic Precision in the Neonatal Intensive Care Unit using Targeted Neonatal Echocardiography

Published on: January 27, 2023

Neonatal Informatics: Optimizing Clinical Data Entry and Display.

Jonathan P Palma1, Patrick J Brown, Christoph U Lehmann

  • 1Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.

Neoreviews
|May 5, 2012
PubMed
Summary
This summary is machine-generated.

Effective electronic health record displays must support physician thought processes for data entry and review. Cognitive science and human factors engineering can improve clinical information visualization, transforming data into actionable knowledge.

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Published on: August 25, 2014

Area of Science:

  • Clinical Informatics
  • Cognitive Science
  • Human Factors Engineering

Background:

  • Electronic medical records (EMRs) present a challenge in displaying vast clinical data without overwhelming providers.
  • Effective displays are crucial for transforming EMR data into usable information and knowledge.

Purpose of the Study:

  • To highlight the importance of supporting physician thought processes in EMR data interaction.
  • To emphasize the need for flexible electronic displays that guide clinical decision-making.

Main Methods:

  • Reviewing principles from cognitive science.
  • Applying human factors engineering to electronic display design.
  • Analyzing the provider's workflow for data entry and review.

Main Results:

  • Recognizing that data entry and data review may require different display formats.
  • Understanding that flexible displays enhance the transformation of data into knowledge.
  • Identifying cognitive science and human factors as key to improving EMR usability.

Conclusions:

  • Electronic displays must be designed to support, not hinder, physician thought processes.
  • Optimizing EMR displays requires considering cognitive load and workflow.
  • Future EMR design should integrate cognitive science and human factors principles for better clinical information management.