TRV-2026-1178Version 2 · Revised

Saved · see the current record

Why this version exists

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

The exact text we saved

This is the version exactly as it was saved, character for character. The SHA-256 hash below is a 64-character code worked out from that text. Run the same text through SHA-256 and you get the same code; change a single letter and the code comes out completely different. Each version also stores the previous version’s hash, which chains them together so no version can be swapped out quietly.

TRUVACE RECORD VERSION
record: TRV-2026-1178
version: 2
kind: revised
reason: Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain absent, problem unsupported).
timestamp: 2026-11-04T09:55:41.862595Z
status: published
lens: general
sector: health
headline: Agentic AI, medical morality and the transformation of the patient-physician relationship
dek: 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…
gain_title: (none)
problem_title: 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.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: 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.
problem_evidence: (none)
quick_read: 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.

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. Drawing on the framework of techno-moral change and the three domains of decision, relation and perception, we investigate how agentic AI might reshape the patient-physician relationship and reconfigure core concepts of medical morality.
limitation: 
tag: Context
key_points: 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.
rundown: 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 moral fabric of healthcare itself.
sources:
- peer_reviewed | Journal of Medical Ethics | https://doi.org/10.1136/jme-2026-112004 | 2026-09-21
prev: 55d37851af8b3796f09d8a43f527a72d0232aadd08eec6f2a8201ab9ccfacda3
SHA-256 hash
310fa4379b4889cd5dc8282920f9469a2d7bd338bdd3c0b24fc8bd07ead5c415
Previous version’s hash
55d37851af8b3796f09d8a43f527a72d0232aadd08eec6f2a8201ab9ccfacda3
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.