TI Best Evidence Webinar
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WHEN: Wednesday, December 9th, 2020 from 12:00 to 1:00 PM Pacific Time [click here to convert to your local time]
WHERE: Offered online using Zoom.
TITLE: Your Results Will Vary: Knowing the imprecision of medical measurements will make you a much better clinician
SPEAKERS:
- James McCormack received his undergraduate pharmacy degree at the University of British Columbia in 1982 and received his doctorate in pharmacy (Pharm.D.) in 1986 from the Medical University of South Carolina in Charleston, South Carolina. He has had extensive experience, both locally and internationally, talking to health professionals and consumers about the rational use of medication, and has presented over 500 seminars on drug therapy over the last 30 years. He focuses on shared decision-making using evidence based information and rational therapeutic principles and he is also the co-host of a very popular weekly podcast called the Best Science (BS) Medicine podcast.
- Dr. Jessica Otte is a Clinical Assistant Professor with the UBC Department of Family Practice, member of the Education Working Group of the UBC Therapeutics Initiative, and a family physician in Nanaimo, BC. She has always been passionate about helping patients find the right health care according to the evidence and their needs and values, and she practices this daily with a focus on care of the elderly and palliative care.
CME CREDITS: MainPro+/MOC Section 1 credits: 1.0. You must register, attend the webinar and complete the evaluation in order to receive your certificate.
Learning Objectives:
Using case examples demonstrating the imprecision of common lab measurements (potassium, HbA1c, cholesterol, and others) you will learn to:
- Make decisions as to whether or not a lab result has truly changed over time and when, if at all, to repeat the test.
- Appreciate that while medical measurement imprecision is generally not fixable, it is possible to understand it and incorporate this into clinical decision-making.
- Identify the essential interplay between analytic and biological variation.
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