Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The diagnostic field's players and interactions: from the inside out.

Kathryn M McDonald1

  • 11Stanford University School of Medicine and University of California, Berkeley, School of Public Health, Center Health Policy/Center for Primary Care and Outcomes Research, Stanford University, 117 Encina Commons, Stanford, CA 94305-6019, USA.

Diagnosis (Berlin, Germany)
|March 16, 2018
PubMed
Summary

A team approach to diagnostic care, involving patients and healthcare professionals, can improve patient outcomes. Understanding the patient-system interaction within a social network framework is key to successful diagnosis.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Global advances in health artificial intelligence: a workforce imperative.

Lancet (London, England)·2026
Same author

Nurse and Social Worker Perceptions of Early Adoption of VA's Nationally Scaled Care Coordination Initiative.

Medical care research and review : MCRR·2026
Same author

Patient-Reported Diagnostic Excellence in Emergency Care: Cross-Site Score Variation and Purpose-Dependent Interpretation.

Joint Commission journal on quality and patient safety·2026
Same author

Improving Diagnosis: Evaluation of Diagnostic Experiences Classified as Problems, Mistakes, or Both by Patients and Care Partners From a Nationally Representative Survey.

Medical care·2026
Same author

Risk of Hospital Readmissions and Association With Receipt of Post-Hospitalization Care Coordination Services Among High-Risk Veterans.

Health services research·2025
Same author

Ten years on: how far have we come in patient engagement in diagnosis?

Diagnosis (Berlin, Germany)·2025

Area of Science:

  • Health Services Research
  • Medical Informatics
  • Patient Safety

Background:

  • Diagnostic care often involves multiple stakeholders, including patients, informal caregivers, and healthcare professionals.
  • Effective coordination among these players is crucial for improving diagnostic outcomes.
  • A patient-system perspective is essential for understanding team-based diagnostic performance.

Purpose of the Study:

  • To elucidate factors influencing team-based diagnostic performance from a patient-system perspective.
  • To conceptualize the diagnostic process as a 'playing field' with specific goals, players, uncertainties, and social conditions.
  • To propose a framework for guiding patient-system interactions during diagnosis using relational coordination and social network concepts.

Main Methods:

Keywords:
diagnostic errorpatient-centerednessrelational coordinationsociological Influencesteamwork

Related Experiment Videos

  • Conceptual analysis applying a patient-system perspective.
  • Utilizing Gittell and colleagues' relational coordination concepts.
  • Adapting Berkman and colleagues' social network framework for diagnosis.

Main Results:

  • Identified key factors in team-based diagnostic performance: goals, player interactions, uncertainties, and social conditions.
  • Proposed relational coordination as a guiding principle for patient-system interactions.
  • Highlighted the importance of a social network framework for understanding diagnosis.

Conclusions:

  • A team approach to diagnostic care coordination holds significant potential for improving patient outcomes.
  • Understanding the patient-system interaction through a conceptual 'playing field' metaphor provides valuable insights.
  • Patient-centered metrics are necessary for monitoring the success of diagnostic processes.