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Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

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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:
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Guidelines and Strategies for Safe Computer Charting01:18

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Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

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Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
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Methods of Documentation IV: Focus Charting01:26

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Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
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Methods of Documentation III: PIE01:21

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Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
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Related Experiment Video

Updated: Jun 22, 2025

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
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Development of the CDISC Pediatrics User Guide: a CDISC and conect4children collaboration.

John Owen1, Anando Sen2, Beate Aurich3

  • 1CDISC Europe Foundation, Brussels, Belgium.

Frontiers in Medicine
|July 5, 2024
PubMed
Summary

The Pediatrics User Guide (PUG) enhances clinical trial data standardization for children. This guide, developed by conect4children (c4c) and CDISC, addresses the lack of child-specific standards, improving data interoperability and reuse in pediatric research.

Keywords:
CDISCdata dictionarydata standardsinteroperabilitypaediatric clinical trials

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Area of Science:

  • Clinical Trials
  • Data Standardization
  • Pediatric Research

Background:

  • Paediatric clinical trials face challenges in data standardization and reuse.
  • Existing Clinical Data Interchange Standards Consortium (CDISC) standards lack paediatric specificity.
  • Limited awareness of CDISC standards in academic institutions hinders data interoperability.

Purpose of the Study:

  • To develop a standardized guide for paediatric clinical trial data.
  • To address the lack of child-specific CDISC standards.
  • To facilitate data reuse and interoperability in paediatric research.

Main Methods:

  • Collaboration between conect4children (c4c) and CDISC.
  • Development of the Pediatrics User Guide (PUG) through six stages.
  • Inclusion of cross-cutting data items routinely collected in paediatric trials.

Main Results:

  • The PUG was published on the CDISC website on February 23, 2023.
  • The guide incorporates concepts relevant to all paediatric age ranges.
  • Feedback from CDISC internal and public reviews was incorporated.

Conclusions:

  • The PUG is a crucial step towards child-specific CDISC standards, especially for academia.
  • Widespread adoption of the PUG will enable data pooling from multiple paediatric trials.
  • This facilitates research in rare paediatric diseases and small patient populations.