Health Decision Data

Blueprint aims to make health decisions based on data rather than conflicting opinions. Private computation could allow studies over pooled sensitive health data while keeping individual records private. The article presents data as the only reliable foundation for health decisions. The protocol invites people to verify or challenge its claims with comprehensive self-measurement. Contradicting evidence is considered relevant if it demonstrates better outcomes. The measured approach is offered as a way to reduce reliance on conflicting opinions. People may avoid contributing valuable health data because insurers or other institutions could use it against them. Medical research is treated as one of the strongest potential use cases for private computation. Health data is the dominant example of personal data that has value but raises ownership and privacy concerns. Sharing measured health optimization data creates an accessible entry point for people.