Beyond Autonomy: A Plastic Surgeon's Responsibility in the Face of AI-Driven Misinformation

A promising development in medical practice is a shift from a “doctor knows best” model toward patient autonomy rooted in shared decisions, transparent risk, and respect for values.1,2 Increasing Internet access, social media communities, and more recently generative large language models (LLMs) such as ChatGPT may have helped push patient autonomy forward by providing near-instant access to clinical information from trusted sources, but can also relay harmful medical misinformation. LLMs' fluent style can mask factual hallucinations and transmit the same gaps that already trouble online medical content. As a result, medical visits increasingly begin with fact-checking claims, shifting time away from substantive decision making toward correction. We argue that without deliberate safeguards for autonomy, increasing patient reliance on LLMs can pull clinical encounters back toward paternalism.

Authors

Publication Details

Journal
University of Michigan Library
Published
2025-12-01
DOI
https://doi.org/10.7302/28726
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond Autonomy: A Plastic Surgeon's Responsibility in the Face of AI-Driven Misinformation

Hannes Prescher, Oliver L. Haimson, Megan Lane, Rachel C. Hooper et al.
University of Michigan Library
Artificial Intelligence in Healthcare and Education
article

Beyond Autonomy: A Plastic Surgeon's Responsibility in the Face of AI-Driven Misinformation

Hannes Prescher, Oliver L. Haimson, Megan Lane, Rachel C. Hooper, Pranav Rajaram, Nazanin Andalibi
article en

Abstract

A promising development in medical practice is a shift from a “doctor knows best” model toward patient autonomy rooted in shared decisions, transparent risk, and respect for values.1,2 Increasing Internet access, social media communities, and more recently generative large language models (LLMs) such as ChatGPT may have helped push patient autonomy forward by providing near-instant access to clinical information from trusted sources, but can also relay harmful medical misinformation. LLMs' fluent style can mask factual hallucinations and transmit the same gaps that already trouble online medical content. As a result, medical visits increasingly begin with fact-checking claims, shifting time away from substantive decision making toward correction. We argue that without deliberate safeguards for autonomy, increasing patient reliance on LLMs can pull clinical encounters back toward paternalism.

University of Michigan Library
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.