About this course
We often make critical management decisions under uncertainty. Though susceptible to biases and heuristics, many clinicians rely on their experience and instincts to drive their clinical decision-making. Bayesian reasoning provides checks and balances to our heuristics and helps us align our intuition with evidence. However, many learners and even well-seasoned clinicians lack the knowledge necessary to apply Bayesian reasoning at the bedside.
This is a case-based problem-solving course. It is designed to provide detailed insight and understanding on how to formulate probability of disease, interpret new diagnostic information, and adjust the disease probability and management decisions accordingly.
The course is self-paced. It involves an introductory session and 10 clinical cases. You will get introduced to a patient case and will be asked to provide your insights regarding probability of the disease in question. Then, you will be presented a key diagnostic test result. You will use the new diagnostic information to update the disease probability and think about subsequent management decisions.
The expected time needed to complete all cases is about 6 hours.
The results of the initial faculty pilot was published by the Journal of Graduate Medical Education.
Citation: Baduashvili A, McBeth L, Baird A, Burden M. Understanding the Shades of Gray in Diagnosis-An Online Course in Bayesian Reasoning. J Grad Med Educ. 2022;14(3):349-350.
The manuscript can be accessed here
The lessons learned while developing educational content has also been published.
Baduashvili A, Fainstad B, Kudron E L (February 27, 2024) Considerations for Clinician-Educators Developing Online Educational Content: A Narrative Review. Cureus 16(2): e55048. doi:10.7759/cureus.55048
The manuscript can be accessed here
CME/MOC Statement
The University of Colorado School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The University of Colorado School of Medicine designates this enduring material for a maximum of 6 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in this activity.
Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 6 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.
To earn board credit, the attendee must participate in the CME activity including the evaluation component. By participating in this event and requesting board credit, the participant understands that the learner completion data will be shared with the ACCME and the applicable certifying board(s).
You may claim up to 6 CME or ABIM MOC credits for the completion of this course. Please review the details below.
Course Name: Bayesian Reasoning in Clinical Decision-Making
Release Date: July 15, 2021, CME Expiration Date: July 14, 2025, Content Review Date: July 17, 2024
Contact for questions: For questions about technical issues, content, feedback, access, or any other related material, please contact Dr. Amiran Baduashvili at amiran.baduashvili@cuanschutz.edu
Target audience: Clinical faculty, advanced practice providers, fellowship and residency trainees, and medical students.
Disclosure: Dr. Amiran Baduashvili has no relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.
To earn credit, participants must: (1) complete the course, including the pre and post-test quizzes and the course evaluation questions at the end of each case.
To Earn CME Credit and/or ABIM Medical Knowledge MOC Points, participants must:
1. Register for the course.
2. View the presentations.
3. Complete the Evaluation/Claim Credit request for AMA PRA Category 1 Credit™ and/or ABIM Medical Knowledge Points MOC using the following link