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

Methods of decision analysis: protocols, decision trees, and algorithms in medicine.

J M Greep, L M Siezenis

    World Journal of Surgery
    |May 1, 1989
    PubMed
    Summary

    Clinical algorithms, decision trees, and protocols offer structured approaches to patient care. When wisely applied with flexibility, these decision analysis tools can improve patient outcomes and healthcare efficiency.

    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

    Effects of cast-bracing of the knee on physical performance in healthy subjects.

    International journal of sports medicine·1994
    Same author

    Functional and morphological adaptations following four weeks of knee immobilization.

    International journal of sports medicine·1993
    Same author

    [Percutaneous transhepatic bile duct drainage, 10 years after its introduction].

    Nederlands tijdschrift voor geneeskunde·1989
    Same author

    Medical education.

    Lancet (London, England)·1988
    Same author

    Gallstone obstruction of the intestine: an analysis of ten patients and a review of the literature.

    Surgery·1987
    Same author

    [Percutaneous biliary drainage for obstructive jaundice due to tumor recurrence or metastases].

    Nederlands tijdschrift voor geneeskunde·1986

    Area of Science:

    • Decision Analysis
    • Clinical Informatics
    • Medical Algorithms

    Background:

    • Clinical decision analysis utilizes structured methods to aid healthcare professionals.
    • Algorithms, decision trees, and protocols are key components in applying these methods to patient care.
    • Understanding these tools is crucial for effective clinical practice.

    Purpose of the Study:

    • To define and explain algorithms, decision trees, and protocols in the context of clinical decision analysis.
    • To highlight the utility of these techniques in managing clinical uncertainties and complex decisions.
    • To address criticisms regarding rigidity and promote flexible application.

    Main Methods:

    • Explanation of algorithms for common clinical problems with low uncertainty.

    Related Experiment Videos

  • Description of decision trees for complex decisions involving probabilistic challenges.
  • Definition of clinical protocols as structured treatment guidelines derived from algorithms and decision trees.

    • Main Results:

    • Algorithms are best for straightforward cases; decision trees handle probabilistic scenarios.
    • Clinical protocols offer explicit treatment instructions based on defined clinical problems.
    • These methods represent a logical, scientific approach to clinical problem-solving.

    Conclusions:

    • Algorithms, decision trees, and protocols, when thoughtfully designed and flexibly administered, can enhance patient care.
    • Wise implementation can lead to improved patient benefit and economic efficiency in healthcare.
    • Flexibility in application is key to overcoming potential rigidity and 'cookbook medicine'.