Journal

Separate evidence for retrieval practice from claims about Anki, examination scores and clinical competence. A practical reading of medical education research.

Institutional control over AI does not replace clinical judgement. Explore a practical routine for examining assumptions, checking evidence and keeping reasoning active.

Separate clinical applications, cloud operation and model development when assessing European healthcare AI, with Tandem, Scaleway and Mistral as distinct examples.

A worked cost comparison shows why cheaper model access need not mean cheaper clinical software once review, assurance, implementation and unfinished work are included.

A fictional clinic outage shows how to keep documentation, clinical decisions and unfinished tasks under control when an AI service becomes unavailable.

A practical change-control approach for clinical AI: identify what changed, test the affected workflow, communicate limitations and plan a proportionate response to regression.

Twelve practical supplier questions covering scope, processing, access, clinical evidence, model changes, downtime, exit and the complete cost of sovereign clinical AI.

The AI harness is the software around a model. Learn how instructions, context, retrieval, checks and permissions shape a clinical product, and what buyers should evaluate.

Why documentation, clinical coding and decision support need different reference standards, and how errors can travel between otherwise capable AI components.

Read Tandem's 44-model, 50-transcript benchmark correctly: clinical-claim accuracy, selected omissions, clinician preference and the limits of a displayed 100.0% score.

CaryHealth has promoted Clair with a claim of more than 200 million clinical studies. The useful question is what those records contain and whether they improve an answer.

More prompts can mean more useful work or more unresolved work. Clinical AI should earn its place by helping people finish, understand and move on.