Session date: 
04/16/2026 - 12:00am to 1:00pm

TITLE: Clinical Chemistry Grand Rounds: Data Driven Laboratory Medicine for Special Populations
Presenter: Sarah Wheeler, Ph.D.

LEARNING OBJECTIVES
Upon completion of this activity, participants should be able to:

  • Construct a framework for using real-world clinical laboratory data to generate population-specific evidence when traditional prospective study designs are impractical.
  • Evaluate how disease prevalence and population-specific factors should inform test interpretation and clinical decision thresholds in laboratory medicine.
  • Design a data-driven approach to identifying and addressing diagnostic discrepancies in special populations using existing laboratory infrastructure and operational data.

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.

Presenter: 
Sarah Wheeler, Ph.D.
Where did the idea for the course originate?: 
Minnesota
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Where did the idea for the course originate?: 
Minnesota