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In this episode, we speak with researcher and physician Dr. James Diao about when and why race should be included or excluded from clinical algorithms. We focus on his work evaluating the implications of including race as a variable in two clinical algorithms: one used to assess lung function, and another used to assess cardiovascular disease risk.

(00:00) Our introduction
(05:10) Interview begins
(09:47) Criteria for the inclusion/exclusion of race of clinical algorithms
(16:23) Inclusion of race in lung function equations
(27:04) Estimated racial disparities in lung disease classification
(31:37) Estimated racial disparities in access to social services and healthcare
(37:44) The PREVENT equations for cardiovascular risk
(47:44) Anticipated impact on statin recommendations
(57:22) Estimated changes in statin eligibility by race
(1:10:03) Whether we should exclude race from clinical algorithms by default
(1:20:36) Common themes and failure modes

Used or referenced:

Bio(un)ethical is a bioethics podcast written by Leah Pierson and Sophie Gibert, with editing and production by Ambedo Media (previous production support by Audiolift.co). Our music is written by Nina Khoury and performed by Social Skills. We are supported by a grant from Amplify Creative Grants.

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Chapters

1. Our introduction (00:00:00)

2. Interview begins (00:05:10)

3. Criteria for the inclusion/exclusion of race in clinical algorithms (00:09:47)

4. Inclusion of race in lung function equations (00:16:23)

5. Estimated racial disparities in lung disease classification (00:27:04)

6. Estimated racial disparities in access to social services and healthcare (00:31:37)

7. The PREVENT equations for cardiovascular risk (00:37:44)

8. Anticipated impact on statin recommendations (00:47:44)

9. Estimated changes in statin eligibility by race (00:57:22)

10. Whether we should exclude race from clinical algorithms by default (01:10:03)

11. Common themes and failure modes (01:20:36)

22 episodes