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

Modeling for policy decisions: potential and problems.

S B Knoebel1

  • 1Krannert Institute of Cardiology, Department of Medicine, Indiana University School of Medicine, Indianapolis 46202.

Journal of the American College of Cardiology
|September 1, 1989
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

American College of Cardiology key data elements and definitions for measuring the clinical management and outcomes of patients with acute coronary syndromes. A report of the American College of Cardiology Task Force on Clinical Data Standards (Acute Coronary Syndromes Writing Committee).

Journal of the American College of Cardiology·2001
Same author

The significance of this special issue.

Journal of psychosomatic research·2000
Same author

Clinical competence in ambulatory electrocardiography. A statement for physicians from the AHA/ACC/ACP Task Force on Clinical Privileges in Cardiology.

Circulation·1993
Same author

Development of a database for clinical use and multicenter collaborative data sharing.

The Journal of invasive cardiology·1992
Same author

Vagaries of acceleration dependent aberration.

British heart journal·1992
Same author

ACC anniversary seminar. Introduction.

Journal of the American College of Cardiology·1989
Same journal

Aortic Valve Replacement in Women of Reproductive Age.

Journal of the American College of Cardiology·2026
Same journal

Sudden Death in Cardio-Kidney-Metabolic Patients: Insights From FINE-HEART.

Journal of the American College of Cardiology·2026
Same journal

Ultra-Thin Sirolimus-Eluting Versus Everolimus-Eluting Stents in Diabetic Multivessel Coronary Artery Disease Patients: The TUXEDO-2 Trial.

Journal of the American College of Cardiology·2026
Same journal

Reframing Cardiometabolic Risk and Frailty Through Sarcopenic Obesity.

Journal of the American College of Cardiology·2026
Same journal

Imaging-Derived Sarcopenic Obesity and Cardiovascular Outcomes: Insights Into Heart Failure Risk and Muscle Biology.

Journal of the American College of Cardiology·2026
Same journal

The Measure of a Leader: Lessons in Leadership From Eugene Braunwald.

Journal of the American College of Cardiology·2026
See all related articles

Decision modeling offers a quantitative approach to evaluating healthcare interventions and resource allocation. This method objectively assesses treatment effectiveness and costs, aiding in informed clinical and policy decisions.

Area of Science:

  • Health economics
  • Clinical decision analysis
  • Health services research

Background:

  • Healthcare decisions often lack objective evaluation of effectiveness and cost.
  • Bias and self-interest can influence professional recommendations.
  • Resource allocation decisions may limit access to effective technologies.

Purpose of the Study:

  • To demonstrate the utility of decision modeling in healthcare.
  • To provide a quantitative framework for assessing clinical interventions.
  • To facilitate objective evaluation of new and existing technologies.

Main Methods:

  • Constructing explicit, mathematically describable structures of clinical problems.
  • Analyzing alternative approaches to care in terms of patient outcomes and costs.

Related Experiment Videos

  • Quantifying the impact of resource allocation decisions on effective care.

    • Main Results:

    • Decision modeling identifies relative effectiveness of care approaches.
    • Costly procedures and new technologies can be objectively assessed.
    • The marginal benefit of alternative practices is quantifiable.

    Conclusions:

    • Decision modeling provides an unbiased method for evaluating healthcare interventions.
    • It allows for explicit and quantitative expression of the impact of resource allocation on patient outcomes.
    • This approach facilitates evidence-based discussions and compromises in healthcare policy.