
Sign up to save your podcasts
Or


Guest: Ramla N. Kasozi, M.B., Ch.B., M.P.H.
Host: Darryl S. Chutka, M.D. (@ChutkaMD)
There is currently a debate regarding the use of race and ethnic categories in clinical decision-making. There are numerous studies which claim data from race is a factor and should be considered when designing practice guidelines and clinical algorithms. Some feel that any benefit is small compared to the potential harm that could occur regarding the past abuse of race used in medicine. Unfortunately, many questions remain unanswered. Is race a reliable proxy for genetic differences? Are there genetic differences which explain the basis behind race-based algorithms? And what are the potential dangers of using race-adjusted algorithms? This podcast reviews these topics with Ramla N. Kasozi, M.B., Ch.B., M.P.H., a family physician at the Mayo Clinic in Jacksonville, Florida.
Connect with the Mayo Clinic’s School of Continuous Professional Development online at https://ce.mayo.edu/ or on Twitter @MayoMedEd.
By Mayo Clinic4.4
268268 ratings
Guest: Ramla N. Kasozi, M.B., Ch.B., M.P.H.
Host: Darryl S. Chutka, M.D. (@ChutkaMD)
There is currently a debate regarding the use of race and ethnic categories in clinical decision-making. There are numerous studies which claim data from race is a factor and should be considered when designing practice guidelines and clinical algorithms. Some feel that any benefit is small compared to the potential harm that could occur regarding the past abuse of race used in medicine. Unfortunately, many questions remain unanswered. Is race a reliable proxy for genetic differences? Are there genetic differences which explain the basis behind race-based algorithms? And what are the potential dangers of using race-adjusted algorithms? This podcast reviews these topics with Ramla N. Kasozi, M.B., Ch.B., M.P.H., a family physician at the Mayo Clinic in Jacksonville, Florida.
Connect with the Mayo Clinic’s School of Continuous Professional Development online at https://ce.mayo.edu/ or on Twitter @MayoMedEd.

136 Listeners

320 Listeners

695 Listeners

495 Listeners

250 Listeners

259 Listeners

3,342 Listeners

1,158 Listeners

195 Listeners

90 Listeners

513 Listeners

364 Listeners

12 Listeners

252 Listeners

18 Listeners

15 Listeners

9 Listeners

429 Listeners

369 Listeners

45 Listeners

14 Listeners