Insights

Blog

Data trust, provenance, and what AI should be allowed to act on. Written by Jason Alan Snyder, nearly every day. Longer essays live on his Substack.

Why Veteran Health Records Are the Hardest Data Problem in Medicine
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Why Veteran Health Records Are the Hardest Data Problem in Medicine

The VA health system serves 9 million enrolled veterans. Their records span VA systems, DoD military health, and civilian EHRs from community care. The problem is not a shortage of data. It is a shortage of trust metadata.

Jason Alan SnyderFebruary 10, 2026
SuperTruth at the Eudemonia Health Innovation Lab: What Data Trust Means for the Future of Health
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SuperTruth at the Eudemonia Health Innovation Lab: What Data Trust Means for the Future of Health

The Eudemonia Health Innovation Lab brings together the people actually building the future of health — not the people talking about it. SuperTruth is there because data trust is the infrastructure that makes everything else in health innovation possible.

Jason Alan SnyderOctober 8, 2025
SuperTruth, Fitt Insider, and the Health Intelligence Layer the Wellness Industry Is Missing
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SuperTruth, Fitt Insider, and the Health Intelligence Layer the Wellness Industry Is Missing

The health and wellness industry generates more behavioral data than almost any other sector. Activity, sleep, nutrition, recovery, stress — tracked by millions of consumers across thousands of platforms. None of it has a trust layer. That is about to change.

Jason Alan SnyderJuly 17, 2025
Clinical Trials Have a Data Supply Problem. The Patients Are There. The Infrastructure Isn't.
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Clinical Trials Have a Data Supply Problem. The Patients Are There. The Infrastructure Isn't.

The patients are there. For almost every study, somewhere in the health system, there are people who meet the inclusion criteria, whose data would support the research, who might benefit from participation. The challenge is not the supply. The challenge is the infrastructure to find it.

Jason Alan SnyderApril 10, 2025
SuperTruth and imaware: What 105,000 Diagnostic Records Taught Us About Cancer Data Trust
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SuperTruth and imaware: What 105,000 Diagnostic Records Taught Us About Cancer Data Trust

imaware had 105,000 diagnostic records and could not trust any of them. Here is what happened when SuperTruth applied the Data Trust Index to oncology diagnostic data — and what it revealed that had been invisible for years.

Jason Alan SnyderJanuary 30, 2025
Healthcare AI Doesn't Need to Go Deep. It Needs to Go Long.
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Healthcare AI Doesn't Need to Go Deep. It Needs to Go Long.

More parameters. More data. Better benchmarks. The assumption is that depth — going further into a dataset — produces better clinical intelligence. That assumption is wrong for healthcare. Healthcare AI doesn't need to go deep. It needs to go long.

Jason Alan SnyderNovember 19, 2024
The Fragmented Health Record: Why the Most Valuable Data in Healthcare Lives Nowhere
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The Fragmented Health Record: Why the Most Valuable Data in Healthcare Lives Nowhere

Every provider encounter creates a data point. Most of them disappear. The patient who shows up carrying a folder of printed records is not a curiosity. They are the connective tissue of a system that has no other mechanism for continuity.

Jason Alan SnyderMay 14, 2024
What VIOLET Sees: The Behavioral Layer of Cancer Before Patients Reach a Clinic
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What VIOLET Sees: The Behavioral Layer of Cancer Before Patients Reach a Clinic

Before a patient steps into a waiting room, they search. They search at 2am when the anxiety is highest. VIOLET maps that invisible layer — the behavioral signal layer of cancer that exists before clinical presentation.

Jason Alan SnyderFebruary 28, 2024
Why We Built SuperTruth: A Promise Made in a Hospital Room
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Why We Built SuperTruth: A Promise Made in a Hospital Room

There are two stories behind SuperTruth. They happened to two different people, in two different hospitals, years apart. Neither of us knew the other yet. But they are the same story.

Jason Alan SnyderNovember 15, 2023