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Design+

ARTICLE
Balancing innovation and trust: Assessing

artificial intelligence’s role in medical history
taking and physician perspectives on patient

care

Felix Höpfl* , and Marina Schellhorn
Faculty of Applied Health and Social Science, Rosenheim Technical University of Applied Sciences,
Bavaria, Germany

Abstract

This study explores the potential of artificial intelligence (AI) in medical history taking
(anamnesis) and assesses its acceptance using technology acceptance models.
Through nine expert interviews with physicians from diverse medical backgrounds,
the study aims to understand concerns and anticipated benefits of AI in the doctor–
patient relationship. To demonstrate AI’s applications, digital anamnesis surveys were
conducted with two actual patients, and the resulting data were interpreted by AI
and reviewed by physicians. Findings indicate that physicians view AI as potentially
beneficial, expecting that AI can facilitate improvements in care quality, efficiency,
and time savings. Despite initial concerns about AI’s ability to address individual
*Corresponding author: patient needs and its impact on the doctor–patient relationship, there is significant
Felix Höpfl
(felix.hoepfl@th-rosenheim.de) interest in integrating AI tools into daily practice. Key issues include patient
constitution, the effort-to-benefit ratio, and potential risks to patient trust. The study
Citation: Höpfl F, Schellhorn M.
Balancing innovation and trust: identifies six areas for further research: Economic impact and cost-benefit analysis,
Assessing artificial intelligence’s patient acceptance and trust, stress reduction and job satisfaction, effects on doctor–
role in medical history taking and patient relationships, development of verification mechanisms, and ethical and
physician perspectives on patient
care. Design+. 2025;2(1):7675. legal considerations. These findings underscore the complexities of AI integration in
doi: 10.36922/dp.7675 health care, emphasizing the need to address concerns about patient individuality,
data privacy, and interpersonal relationships while harnessing AI’s potential.
Received: December 16, 2024
Revised: February 22, 2025
Keywords: AI-enhanced anamnesis systems; AI technology acceptance; AI quality
Accepted: February 25, 2025 assumptions; Idana; AI in medical history taking
Published online: March 11, 2025
Copyright: © 2025 Author(s).
This is an Open-Access article
distributed under the terms 1. Introduction
of the Creative Commons
AttributionNoncommercial License, Recent advancements in artificial intelligence (AI) have sparked considerable interest in
permitting all non-commercial use, its application across various sectors, including health care. AI’s potential to enhance
1
2
distribution, and reproduction in any medical history taking is particularly promising, a fundamental aspect of patient care
medium, provided the original work
is properly cited. that influences diagnosis, treatment, and overall health-care outcomes. By automating
and streamlining the process, AI can significantly improve efficiency and precision in
Publisher’s Note: AccScience
Publishing remains neutral with medical practice. 3
regard to jurisdictional claims in
published maps and institutional The application of AI in medical anamnesis has been gaining momentum, particularly
affiliations. in fields such as anesthesiology and surgery. AI has demonstrated significant potential in

Volume 2 Issue 1 (2025) 1 doi: 10.36922/dp.7675