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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:
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Purpose of Health Records I01:11

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:

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Related Experiment Video

Updated: Jun 3, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

The ongoing quality improvement journey: next stop, high reliability.

Mark R Chassin1, Jerod M Loeb

  • 1Joint Commission, Oakbrook Terrace, Illinois, USA. mchassin@jointcommission.org

Health Affairs (Project Hope)
|April 8, 2011
PubMed
Summary
This summary is machine-generated.

Healthcare quality improvement has evolved significantly, incorporating lessons from high-reliability science to manage risks effectively. This approach offers a framework for organizations to enhance patient safety and clinical outcomes.

Related Experiment Videos

Last Updated: Jun 3, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Area of Science:

  • Healthcare Quality Improvement
  • Patient Safety
  • High-Reliability Organizations (HROs)

Background:

  • Historical quality improvement efforts in healthcare, while important, have yielded limited success.
  • Past approaches to systematic clinical quality improvement have not consistently achieved desired outcomes.
  • The evolution of healthcare quality improvement is marked by a search for more effective strategies.

Observation:

  • High-reliability science offers insights from industries managing significant hazards, like commercial aviation.
  • Organizations are increasingly adopting principles from high-reliability science.
  • Lessons from high-risk industries can be applied to healthcare settings to improve safety and performance.

Findings:

  • A review of quality improvement in US healthcare reveals a trajectory toward adopting high-reliability principles.
  • High-reliability science provides a robust framework for managing complex healthcare systems.
  • The integration of high-reliability science is a recent and promising development in healthcare quality.

Implications:

  • Hospitals and healthcare organizations can utilize a high-reliability framework to enhance patient care.
  • Adopting high-reliability principles can lead to sustained improvements in clinical quality and safety.
  • This framework provides a pathway for healthcare organizations to achieve and maintain high-reliability performance.