Problems with patients - what information do you include in your assessments and deciding the importance of that information and how best to share it can sometimes be difficult.
Should aggregate patient preference data (patients who are men/Asian/in their 50s/from this city/etc tend to have certain preferences) be used to make decisions on behalf of #unrepresented patients? https://t.co/szIpbZjzlc https://t.co/U4i5L2gWqz
Important article! Patient preference indicators for unrepresented patients can seem appealing, especially to physicians, a particularly data-driven, logic-motivated group. But there are practical and ethical challenges...
Two problems with patient preference predictors - scope (deciding what information to include) and weight (deciding how to compare the importance of the information included) - make applying them to patient care difficult. https://t.co/6mXc1Gip6N https://t