TrialBlind

Pharmaceuticals conducting clinical trials have a problem. They need to know that nobody in their trial is in more than one trial, because it would be dangerous for the patient to be taking more than one untested drug (unknown interactions), and a person "double-spending" themselves into multiple trials will invalidate the trials. The trick here is for a system to be able to give each party (CRO, Pharma, etc) a signal, "Person is or is not in another trial," without giving any party any other information about any other. For example, Pfizer should not be able to learn through use of the system anything meaningful about Merck's clinical trials, including metadata like the number of trials or the volume of patients in them. This would have to contemplate gaming of the system, like making many patient/participant queries and using them to map the landscape of participants and then use some kind of external information to train an AI to create a high-confidence mapping of people to other parties' trials.

This is a trivial problem if you can trust a third party to manage the system and keep different parties' data separate while running a deduplicated list of participants.