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Related Concept Videos

Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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:
Purpose of Health Records II01:19

Purpose of Health Records II

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Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

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

Methods of Documentation IV: Focus Charting

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The R Chart01:02

The R Chart

In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...

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Related Experiment Video

Updated: Jun 8, 2026

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

Ghost charts and shadow records: implication for system design.

Ellen Balka1

  • 1School of Communication, Simon Fraser University, Burnaby, British Columbia, Canada.

Studies in Health Technology and Informatics
|September 16, 2010
PubMed
Summary

Ghost charts, or duplicate medical records, pose patient safety risks. Addressing their underlying functions is crucial for eliminating them and improving clinical information systems.

Related Experiment Videos

Last Updated: Jun 8, 2026

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

Area of Science:

  • Health Informatics
  • Patient Safety
  • Clinical Information Systems

Background:

  • Ghost charts, also known as shadow charts, are duplicate medical records that pose significant risks to patient safety.
  • Their existence is widespread despite governance documents advising against them, primarily due to unaddressed functional needs.

Purpose of the Study:

  • To investigate the reasons behind the persistence of ghost charts in ambulatory care settings.
  • To inform the design and implementation of clinical information systems aimed at eliminating the need for duplicate records.

Main Methods:

  • A multi-method qualitative study was conducted in two ambulatory care settings within a Canadian hospital.
  • In-depth analysis of ghost chart usage and the needs they fulfill was performed.

Main Results:

  • Ghost charts serve various functions, many of which are not typically considered in standard electronic record system design.
  • The study identified specific needs that, if not met by new systems, will likely perpetuate the use of ghost charts.

Conclusions:

  • Eliminating ghost charts requires clinical information systems to address the diverse functions these duplicate records currently fulfill.
  • Understanding the underlying reasons for ghost chart use is essential for designing effective electronic health record systems and enhancing patient safety.