ArticleJournal of bioethical inquiry2026
Decision Ownership and Deference to Healthcare AI.
Article in Journal of bioethical inquiry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As artificial intelligence (AI) becomes increasingly integrated into healthcare decision-making, concerns arise regarding deference to AI systems. While existing discussions highlight issues such as the opacity of AI outputs and responsibility gaps, this paper introduces a new concern: the impact of deference to AI on decision ownership among healthcare professionals. I argue that reliance on AI can lead to a diminished sense of ownership over decisions based on AI-generated outputs. This consequence is problematic, as a strong sense of decision ownership is essential for ensuring high quality patient care. I recommend that this concern be taken into consideration when implementing the use of AI in healthcare contexts. To address the concern, training and policies should discourage healthcare professionals from simply deferring to AI. Instead, we should encourage such professionals to treat AI as merely an assistive tool, which complements rather than replaces their expertise. Whenever there is any doubt or lack of understanding associated with an AI output, further measures must be taken before a decision is made.
Indexed as
Identifiers
41604119What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.