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 clinical algorithm nosology: a method for comparing algorithmic guidelines.

S D Pearson1, C Z Margolis, S Davis

  • 1Clinical Guidelines Program, Harvard Community Health Plan, Brookline, Massachusetts.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|April 1, 1992
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

Community-based medical education.

Medical teacher·2011
Same author

Integrating global health and medicine into the medical curriculum.

Education for health (Abingdon, England)·2004
Same author

Leaving gatekeeping behind--effects of opening access to specialists for adults in a health maintenance organization.

The New England journal of medicine·2002
Same author

Does physician education on depression management improve treatment in primary care?

Journal of general internal medicine·2001
Same author

How managed care can be ethical.

Health affairs (Project Hope)·2001
Same author

Patient attitudes toward physician financial incentives.

Archives of internal medicine·2001
Same journal

Flexible Survival Extrapolation with Blended Hazards: Accounting for Treatment Effect Waning in Health Technology Assessment.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

A Microsimulation Model for Chronic Kidney Disease Progression in Type 2 Diabetes Patients in the United States: Michigan Model for Diabetes-Chronic Kidney Disease Model.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Cardiovascular Risk Estimation and Statin Adherence: A Historical Cohort Study.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Taste or Scale? Methodological Approach to Health Preferences Comparison across Groups.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Mind the Gap: Impact of New Labels on Public Perceptions and Calculated Risk of Adverse Outcomes after a Melanoma In Situ Diagnosis-A Secondary Analysis of an Online Randomized Experiment.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

A Metamodel-Based General-Purpose Autocalibration Tool for Simulation Models.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
See all related articles

A new method, Clinical Algorithm Nosology (CAN), objectively compares clinical algorithms. CAN reliably measures complexity and similarity between medical guidelines, aiding healthcare choices.

Area of Science:

  • Health Services Research
  • Medical Informatics
  • Clinical Decision Support

Background:

  • Rising healthcare costs and quality concerns drive the development of numerous clinical practice guidelines.
  • Objective methods are lacking to compare the similarity of alternative guidelines for identical clinical issues.

Purpose of the Study:

  • To introduce and validate the Clinical Algorithm Nosology (CAN) as a novel method for comparing clinical algorithms.
  • To assess CAN's ability to measure algorithm complexity and clinical similarity objectively.

Main Methods:

  • The CAN method was developed to measure clinical algorithm design complexity independently of content.
  • CAN qualitatively assesses clinical differences and quantitatively scores similarity between algorithms.
  • Interrater reliability was tested on five pairs of clinical algorithms across three medical topics.

Related Experiment Videos

Main Results:

  • CAN complexity scores showed high correlation with clinician estimates (r = 0.86).
  • The CAN clinical-similarity scoring achieved 80% interrater agreement (kappa = 0.73).

Conclusions:

  • The CAN is a valid and reliable tool for assessing clinical algorithm structural complexity, differences, and similarity.
  • CAN can support the evaluation of guideline development and aid providers and purchasers in selecting among clinical guidelines.