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Stanford Center for Biomedical Informatics Research Colloquia - Shared screen with speaker view
jonathan chen
48:06
Please enter any questions/comments into the Q&A box or chat box and we'll relay
Nigam Shah
55:46
These issues lead to real world implications. For example, a health plan is going bankrupt because their assumptions in pricing risk did not generalize to the MA population they enrolled .. https://www.mercurynews.com/2020/10/11/thousands-of-local-seniors-left-scrambling-as-financial-woes-strike-medicare-advantage-plan/
Nigam Shah
56:40
~10,000 seniors in Santa Clara and San Joaquin counties scrambling for health care coverage because their MA plan went bankrupt failing to price risk correctly
jonathan chen
57:25
Happened to most ACA marketplace plans early on as well
wendi knapp
01:16:32
we are developing real world algorithms at Sutter and have encountered all of the coding issues and risk bias that you have so well articulated. do you have a standardized approach that you use when approaching a project that involves common diagnoses such as COPD or CHF as far finding the real population
wendi knapp
01:18:26
thank you for a great talk. should be required listening for anyone doing real world clinical research
wendi knapp
01:22:08
yep that’s what we are doing
wendi knapp
01:22:24
text is where it’s at
Nigam Shah
01:28:19
Local tool building is not considered “publishable” even in clinical journals.
wendi knapp
01:33:17
thanks!! keep up the good work. your aim is true.