Should Aggregate Patient Preference Data Be Used to Make Decisions on Behalf of Unrepresented Patients?

Patient preference predictors aim to solve the moral problem of making treatment decisions on behalf of incapacitated patients. This commentary on a case of an unrepresented patient at the end of life considers 3 related problems of such predictors: the problem of restricting the scope of inputs to the models (the "scope" problem), the problem of weighing inputs against one another (the "weight" problem), and the problem of multiple reasonable solutions to the scope and weight problems (the "multiple reasonable models" problem). Each of these problems poses challenges to reliably implementing patient preference predictors in important, high-stakes health care decision making.

Patient preference predictors and the problem of naked statistical evidence.

Patient preference predictors (PPPs) promise to provide medical professionals with a new solution to the problem of making treatment decisions on behalf of incapacitated patients. I show that the use of PPPs faces a version of a normative problem familiar from legal scholarship: the problem of naked statistical evidence. I sketch two sorts of possible reply, vindicating and debunking, and suggest that our reply to the problem in the one domain ought to mirror our reply in the other.