Navigating the role of race in clinical laboratories: An update on the use of race in clinical algorithms

Description

Understanding the current state, implications, and future direction of incorporating race into clinical decision-making is crucial for laboratorians, especially as clinical labs increasingly depend on data-driven and algorithmic approaches.

This webinar will examine the complex relationship between race and clinical algorithms. It will explore the current state of race in clinical decision-making and include a panel discussion addressing key questions and future directions.

Target audience

This activity is designed for physicians, lab supervisors, lab directors (and/or assistant directors), lab managers (supervisory and/or non-supervisory), fellows, residents, in-training individuals, nurses, payors, healthcare administrators, and other laboratory professionals overseeing/conducting steps in laboratory medicine that impact clinical decision-making.

Learning objectives

At the end of this session, participants will be able to:

• Describe the historical and current role of race in clinical algorithms.
• Identify potential benefits and drawbacks of using race as input in clinical algorithms.
• Provide examples of the use of race in clinical algorithms relevant to the practice of laboratory medicine.
• Explain how alternative inputs such as social determinants of health and biological markers may serve as replacements in clinical algorithms.

Moderator

T. Scott Isbell PhD, DABCC
Chair, ADLM Education Core Committee
Professor and Director of Laboratory Medicine
St. Louis University Hospital
St. Louis, MO

Presenter

Shazia Siddique, MD, MSHP
Assistant Professor of Medicine, Gastroenterology
Perelman School of Medicine
Director for Research
Center for Healthcare Improvement and Patient Safety
Penn Medicine
Philadelphia, PA

Panelist

Keith Norris, MD, PhD
Executive Vice Chair
Department of Medicine for Community Engagement & Inclusive Excellence
Professor of Medicine
Division of General Internal Medicine and Health Services Research
UCLA Health
Los Angeles, CA

Disclosures and statement of independence

The Association for Diagnostics & Laboratory Medicine (formerly AACC) is dedicated to ensuring balance, independence, objectivity, and scientific rigor in all educational activities. All participating planning committee members and faculty are required to disclose to the program audience any financial relationships related to the subject matter of this program. Disclosure information is reviewed in advance in order to manage and resolve any possible conflicts of interest. The intent of this disclosure is to provide participants with information on which they can make their own judgments.

The following faculty reported financial relationships:

• T. Scott Isbell, PhD, DABCC
  • Consultant Fee: In House Labs, LLC
• Keith Norris, MD, PhD
  • Consultant Fee: Atlantis Healthcare Group Inc.

The following faculty reported no financial relationships:

• Shazia Siddique, MD, MSHP

Content validity

All recommendations involving clinical medicine are based on evidence accepted within the profession of medicine as adequate justification for their indications and contraindications in the care of patients; AND/OR all scientific research referred to or reported in support or justification of a patient care recommendation conforms to generally accepted standards of experimental design, data collection, and analysis.

Accreditation statement

This activity is approved for 1.5 ACCENT® continuing education credits. Activity ID #4380. This activity was planned in accordance with ACCENT® Standards and Policies.

Successful completion statement

Verification of Participation certificates are provided to registered participants based on completion of the activity, in its entirety, and the activity evaluation. For questions regarding continuing education, please email [email protected].