Evidence map›Paper›PMID 42597538›Full record

ArticleDigital health

Impact of AI-Augmented informed consent on preoperative anxiety and patient understanding: A prospective Observational Study.

Yavuz Mert Aydın, Tevfik Erdem Özarslan, Reha Girgin, Engin Denizhan Demirkıran, Bülent Akduman, Necmettin Aydın Mungan

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yavuz Mert AydınDepartment of Urology, Zonguldak Bülent Ecevit University, Kozlu, Zonguldak, Turkey.ORCID https://orcid.org/0000-0002-6287-6767
Tevfik Erdem ÖzarslanDepartment of Urology, Zonguldak Bülent Ecevit University, Kozlu, Zonguldak, Turkey.ORCID https://orcid.org/0009-0004-4082-5709
Reha GirginDepartment of Urology, Zonguldak Bülent Ecevit University, Kozlu, Zonguldak, Turkey.
Engin Denizhan DemirkıranDepartment of Urology, Zonguldak Bülent Ecevit University, Kozlu, Zonguldak, Turkey.
Bülent AkdumanDepartment of Urology, Zonguldak Bülent Ecevit University, Kozlu, Zonguldak, Turkey.
Necmettin Aydın MunganDepartment of Urology, Zonguldak Bülent Ecevit University, Kozlu, Zonguldak, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluated the clinical integration of a large language model (LLM) as a supportive communication tool within the preoperative informed consent pathway. Methods: Participants completed the State-Trait Anxiety Inventory (STAI)-1, STAI-2, and Amsterdam Preoperative Anxiety and Information Scale (APAIS) scales after undergoing both the standard informed consent process and the subsequent ChatGPT consultation. Additionally, they completed a five-item questionnaire to assess their experience with the digital consultation. Anxiety scores were statistically compared before and after the AI consultation. Patient satisfaction regarding the digital consultation process was analyzed. Additionally, ChatGPT's responses to the eleven most frequently asked questions were evaluated by three independent urologists in terms of accuracy, comprehensibility, and appropriateness. Results: Anxiety scores decreased significantly. STAI-1 decreased by 3.2 points and STAI-2 by 1.3 points (both p<0.001). ROC analysis identified minimal clinically significant difference (MCID) thresholds of 1.5 for STAI-1 and 0.5 for STAI-2, indicating that these reductions were clinically significant. In contrast, APAIS scores decreased by 0.89 points (p < 0.001), but the ROC analysis was not significant (AUC = 0.559, p = 0.327), suggesting limited clinical relevance. Subgroup analyses showed that reductions in STAI scores generally exceeded the MCID thresholds, whereas APAIS changes did not consistently achieve clinical meaningfulness. Most participants reported that the ChatGPT consultation contributed to their understanding of the surgery (68%). Conclusion: LLM-assisted consultation may serve as a scalable adjunct to clinician-led consent by enhancing perioperative communication and reducing situational anxiety, while requiring continued clinical oversight for safe implementation.

Indexed as

artificial intelligence in healthcaredigital healthinformed consentlarge language modelspatient education

Identifiers

PMID42597538
PMCPMC13469521

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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.