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.
Publish Once. Then Publish Continuously.
A paper is usually treated as an achievement, occasionally as a chore, and almost never as an asset. Yet a published cohort is what converts clinical volume into standing, funding, partnership, and AI trained on your own population. A paper is an event. A cohort is an engine.
Turning routine clinical data into evidence that survives peer review — how to build the protocol, provenance, analysis and publication pipeline inside everyday care. All four parts now published.
Series Progress
4 of 4 published
Published Archive
16 articles
Publish Once. Then Publish Continuously.
Six Months Cleaning. Six Days Analysing.
Findings Persuade. Provenance Publishes.
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?