Podcast

Rapid fire: High Value Care

Welcome back Rounds Table Listeners!

 

For episode 3, we have two very special guests co-hosting.

Welcome back to Drs. Amol Verma and Kieran Quinn. This episode, they discuss 4 articles that peaked their interest related to high value care.

 

Classic Rapid Fire format…4 papers…here we go!

  1. Can care guided by patient priorities by associated with reduced treatment burden and unwanted health care? (https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2752365) (00:54 – 08:32)
  2. Can a collaborative dementia care plan improve outcomes for patients with dementia and their caregivers?  (https://jamanetwork.com/journals/jamainternalmedicine/article-abstract/2751946) (08:35 – 15:48)
  3. Will a modified algorithm for detecting pulmonary embolism in pregnancy help reduce usage of potentially harmful diagnostic imaging?    (https://www.nejm.org/doi/full/10.1056/NEJMoa1813865) (16:16 – 25:05)
  4. Can point of care CRP levels help reduce unnecessary antibiotics in COPD exacerbations? (https://www.nejm.org/doi/10.1056/NEJMoa1803185) (25:06 – 32:01)

 

And for The Good Stuff:

Kieran discusses a NEJM essay on ethical considerations around using artificial intelligence to predict patient preferences – https://www.nejm.org/doi/full/10.1056/NEJMms1904869

Amol discusses an article in the Globe and Mail by Dr. Matthew Burke, a Neurologist in Toronto, on the placebo effect and its implications for clinical care –https://www.theglobeandmail.com/life/health-and-fitness/article-placebos-could-save-lives-and-health-care-dollars-so-why-cant/)

 

Questions? Comments? Feedback? We’d love to hear from you. @roundstable

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Authors

Michael Fralick

Co-director of the Rounds Table

Michael Fralick is a general internist at Mount Sinai Hospital in Toronto. He completed a Master of Science in Clinical Epidemiology at Harvard University, including a Research Fellowship in Health Policy at the Program On Regulation Therapeutics and Law (PORTAL). His PhD focused on the intersection between machine learning and pharmacoepidemiology.

John Fralick

Co-director

John Fralick is a general internist at Foothills Medical Centre in Calgary. He completed a Master of Science in Epidemiology at Queen’s University. He completed medical school at the University of Calgary and did his internal medicine training at the University of Toronto.

Amol Verma

Contributor

Amol Verma is an internal-medicine physician and assistant professor at the University of Toronto.

Kieran Quinn

Contributor

Kieran is a clinical scientist at the Sinai Health System.

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