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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)
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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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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
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Sampling Plans

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Data Validation01:03

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Related Experiment Video

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

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Published on: February 16, 2011

Judgment sampling: a health care improvement perspective.

Rocco J Perla1, Lloyd P Provost

  • 1University of Massachusetts Medical School, Department of Quantitative Health Sciences, 55 Lake Ave North, ACC Building 7th Floor, Worcester, MA 01655, USA. Rocco.Erdos4@gmail.com

Quality Management in Health Care
|June 23, 2012
PubMed
Summary
This summary is machine-generated.

Judgment sampling, using expert knowledge, is crucial for effective quality improvement. This method is often more appropriate than random sampling in real-world healthcare settings.

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Area of Science:

  • Quality Improvement Science
  • Healthcare Analytics
  • Statistical Methodology

Background:

  • Traditional statistical methods often assume random sampling, which is impractical in many real-world improvement scenarios.
  • Quality improvement initiatives frequently rely on data collected through non-random methods.
  • Understanding and applying appropriate sampling techniques is vital for successful process enhancement.

Purpose of the Study:

  • To elucidate the principles and significance of judgment sampling in quality improvement.
  • To highlight the suitability of judgment sampling in complex, real-world settings, particularly healthcare.
  • To address the underappreciation and lack of understanding surrounding judgment sampling.

Main Methods:

  • The article focuses on conceptual and practical aspects of judgment sampling.
  • It contrasts judgment sampling with random sampling in the context of quality improvement.
  • Case examples and theoretical underpinnings are discussed, with a focus on healthcare applications.

Main Results:

  • Judgment sampling is technically and conceptually superior to random sampling for specific improvement goals.
  • It leverages process and subject matter expertise for targeted data collection.
  • Judgment sampling is often the most convenient, economical, and appropriate approach in complex systems.

Conclusions:

  • Judgment sampling is an essential, often underutilized, tool in quality improvement.
  • Its application is particularly relevant in healthcare settings where complex systems are common.
  • Effective use of judgment sampling enhances the ability to learn about process performance and the impact of changes.