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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

[Quality management in the hospital--methodological comments on quality effects of two aspects of a real case]

M Meyer1

  • 1Betriebswirtschafliches Institut, Universität Erlangen-Nürnberg.

Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))
|November 1, 1993
PubMed

Insights

Medical decision analysis can improve hospital quality management by enhancing transparency in doctor-to-doctor and doctor-to-patient communication, as seen in the Marion P. case study.

Area of Science:

  • Healthcare Quality Management
  • Clinical Communication
  • Medical Decision Making

Context:

  • The Marion P. case highlights communication challenges in healthcare.
  • Donabedian's framework for healthcare quality is applied.
  • Communication between healthcare providers and patients is examined.

Purpose:

  • To adapt clinical case aspects into Donabedian's quality framework.
  • To analyze communication as a decision-making problem.
  • To explore the utility of medical decision analysis in quality management.

Summary:

  • Communication between doctors and with patients presents decision-making challenges.
  • Probability theory-based medical decision analysis can enhance transparency.
  • This approach offers a tool for improving hospital quality management.

Impact:

  • Medical decision analysis can serve as a valuable tool for hospital quality management.
  • Improved transparency in decision-making can lead to better patient outcomes.
  • The study provides insights into optimizing clinical communication strategies.

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