The Briefing
One development in healthcare AI, read closely, each issue
Each issue takes a single paper, dataset, or decision and works through what it actually shows — with every figure tied to its primary source. The archive is open to read; the current issue goes out by email to members.
Briefing 001 — A generative AI copilot meets a hard patient endpoint
The first issue of the AIMOCS Briefing reads one study closely: a pragmatic, cluster-randomized trial that put a generative AI clinical copilot in front of clinicians treating nearly 10,000 patients in Kenya, then measured whether the patients did better. The notes got better. Within 14 days, the patients did the same either way — and that honest null is the most useful thing.
2026-08-01Briefing 002 — The largest ambient-scribe study yet counts the minutes
Ambient scribes are the fastest-spreading AI purchase in care delivery, and the pitch is time. Issue 002 reads the largest multisite cohort to date — 8,581 clinicians across five US academic health systems — and finds the time is real but modest: sixteen minutes of documentation per eight scheduled patient-hours. The after-hours record work, the part the sales pitch calls "your evenings back," did not move.
2026-08-01Briefing 003 — When the AI is switched off: the first deskilling signal
Four Polish endoscopy centres turned on AI polyp detection at the end of 2021. Issue 003 reads the study that looked sideways at what happened next: on procedures done without the software, experienced endoscopists detected adenomas in 22.4% of colonoscopies, against 28.4% in the months before AI arrived. It is observational, and it is the first real-world, patient-relevant deskilling signal on record — which makes reading its limits as important as reading its headline.