Our perspective on AI in healthcare.
AIIM publishes long-form thinking on the questions that matter — how AI actually learns in clinical environments, who governs what it knows, and what it means to build systems that compound rather than decay.
You Have the Patients. Not the Dataset.
Most departments see enough patients in a year to settle a question the literature is still arguing about. Almost none can publish from them, because the question was never asked until long after the notes were written. This series is about turning routine care into evidence that survives peer review.
Turning routine clinical data into evidence that survives peer review — how to build the protocol, provenance, analysis and publication pipeline inside everyday care. Parts 2–4 coming soon.
Series Progress
1 of 4 published
Published Archive
13 articles
You Have the Patients. Not the Dataset.
Stop Running Campaigns. Run an Engine.
Activity Is Not Impact. Measure the Loop.
Cadence Is Not Admin. It Is Clinical.
Your EMR Remembers. It Never Reaches.
Best Outcome, Least Cost. Own the Benchmark.
The Trial Ends at Approval. Evidence Shouldn't.
Your Best Outcomes Should Teach the Rest.
Care Ends at Discharge. Evidence Doesn't.
Individual and Institute Language Models
Your Data Has Value. Who Captures It?
Your EMR Remembers. Your AI Must Learn.
Healthcare Doesn't Stand Still. Should AI?