Journal

Why scheduled clinical AI routines need tests of patient selection, exclusions, changed information and stopping behaviour before wider use.

Distinguish Heidi's earlier Memory settings from Heidi II's new claims, and examine how corrections should reach future summaries, tasks and routines.

What a clinical agent must hand back after an interruption, and how to test whether another clinician can recover the workflow safely.

How to preserve uncertainty, chronology and attribution when AI turns a clinical conversation into a polished record and subsequent tasks.

How to distinguish confidence in Heidi II from independent clinical competence, and why calibration deserves its own evaluation.

A selective approach to cognitive offloading: delegate mechanical work while preserving the interpretation needed to supervise clinical AI.

Why selecting and organising clinical information can influence care before an agent sends a message or updates a record.

A practical approach to clinical AI delegation that preserves understanding, meaningful review, recovery skills and professional learning.

Why an excellent AI-assisted note does not reveal what a trainee understood, and how educators can preserve meaningful reasoning practice.

Could an AI pre-visit summary narrow clinical attention, or help doctors see what they missed? A practical framework for testing both possibilities.

How an inaccurate record could propagate through summaries and agentic tasks, and the checks needed to interrupt that chain.

Separate AI assistance, dependence and genuine deskilling, with a careful reading of the clinical evidence relevant to Heidi II.