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

Clinical decision consultation service.

D A Plante, J P Kassirer, D A Zarin

    The American Journal of Medicine
    |June 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

    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

    The Harvard-MIT-NEMC Research Training Program in Medical Informatics.

    Yearbook of medical informatics·2016
    Same author

    Clinical Problem Solving Series.

    Acta clinica Belgica·2016
    Same author

    Clinical Problem Solving Series.

    Acta clinica Belgica·2016
    Same author

    Clinical Problem Solving Series.

    Acta clinica Belgica·2016
    Same author

    Clinical Problem Solving Series Strategies of Information Gathering.

    Acta clinica Belgica·2016
    Same author

    Practice guidelines and psychiatric education : potential implications.

    Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry·2014

    Decision analysis consultations aid physicians in managing complex medical decisions. This approach effectively supports individual patient care and advances medical problem-solving research.

    Area of Science:

    • Medical Decision Making
    • Health Services Research

    Background:

    • Physicians face complex clinical decisions due to diagnostic uncertainty, therapeutic risks, and patient-specific factors.
    • Managing challenging patient cases requires structured approaches to integrate medical evidence and patient values.

    Purpose of the Study:

    • To evaluate the effectiveness of decision analysis consultations for managing difficult clinical problems.
    • To demonstrate the adaptability of decision analysis techniques in individual patient care.

    Main Methods:

    • Utilized standard decision analysis techniques including decision tree models, Bayes' theorem, Markov analysis, and utility assessment.
    • Modified existing approaches to tailor decision analysis to unique patient circumstances.

    Main Results:

    Related Experiment Videos

    • Decision analysis consultations were successfully applied to a wide range of complex clinical scenarios.
    • The consultative service facilitated effective management of uncertain diagnoses, therapies, and treatment sequencing.

    Conclusions:

    • Decision analysis can be effectively implemented on a consultative basis for individual patient care.
    • A consultation service fosters training in decision-making and stimulates research in medical problem-solving.