TRV-2026-1178Published recordPeer-reviewed

Agentic AI, medical morality and the transformation of the patient-physician relationship

Agentic artificial intelligence (AI) is an emerging development in the digital transformation of healthcare. Unlike conventional generative AI, agentic AI systems can perform autonomous, goal-directed actions and coordinate complex tasks. They promise to support or even collaborate with clinicians and patients in increasingly independent ways. While agentic AI raises familiar moral concerns regarding safety, accountability and bias, this article focuses on a less explored dimension: its capacity to transform the…

Health · General · first published 2026-09-23 · v2 · read the full story · raw data (JSON)

The problem

While agentic AI raises familiar moral concerns regarding safety, accountability and bias, this article focuses on a less explored dimension: its capacity to transform the moral fabric of healthcare itself.

Sources

Your take

What do you make of this one?

Cite this record

Truvace Impact Record TRV-2026-1178, v2: “Agentic AI, medical morality and the transformation of the patient-physician relationship.” Truvace, 2026-11-04. /record/TRV-2026-1178 (accessed on the day you copy it). sha256 310fa4379b4889cd…

Change history

Every change made to this record since it was first published, and why.

  1. Revisedv2310fa4379b48…

    Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain absent, problem unsupported).

  2. Publishedv155d37851af8b…

    Certified into the record

Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-1178 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.