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Design+ AI’s role in medical history taking

2. Identifying potential efficiency and quality
improvements
3. Highlighting integration challenges
4. Outlining key areas for future research
5. Providing insights into AI adoption in health care
6. Acknowledging limitations and research gaps
7. Emphasizing the need for interdisciplinary research
8. Offering practical implications for AI tool development
and implementation.
These findings contribute to the broader understanding
of AI’s role in health-care explicitly in medical history
taking and provide a foundation for further research and
development in this field.

2. Methods
2.1. Research strategy
Figure 1. Study design A qualitative methodology was employed to address
Abbreviation: PH: Physician. the research questions. We conducted interviews with
physicians who are prospective users of an AI-enhanced
This study focuses on exploring how AI can transform medical history system. To ensure a realistic simulation,
medical history taking, emphasizing its capacity to alleviate two hypothetical patients with chronic conditions –
health-care professionals’ workload while potentially namely asthma and diabetes – were asked to complete a
improving patient outcomes. History taking and clinical digital medical history form. These particular diseases
examination are key functions for physicians in identifying were selected due to their significant impact on treatment
patients’ health problems, and accurate assessment and across a wide spectrum of medical specialties.
referral are critical for targeted and cost-saving diagnosis
and therapy. The need to support physicians in their To demonstrate the specific capabilities and applications
19
patient processes is not new, and auto-anamnesis concepts of AI in medical history taking, utilization of general
20
have been explored since the 1970s. However, with the medical history forms was eschewed in favor of utilizing
21
potential of AI, a big step forward could be possible. the technology developed by Idana. Idana, a start-up
Understanding the acceptance of AI technologies among company that has been providing digital anamnesis tools
health-care providers is crucial for successful integration for various medical disciplines since 2019, was selected.
22
into clinical settings. This investigation aims to evaluate Idana’s anamnesis forms have documented over one
existing technology acceptance models in the context of million patient records and have analyzed this data using
AI applications within the doctor–patient relationship, AI. Given their 5 years of experience in digital anamnesis
uncovering both the opportunities and challenges involved. collection and the highly positive feedback from medical
professionals such as cardiologists in Kardiologen
Furthermore, the study examines physicians’ concerns 23
regarding the adoption of AI in medical history taking Rostock and the National Association of Statutory Health
Insurance Physicians, the Idana tool was chosen to create
24
and explores their expectations regarding the benefits AI the two sample questionnaires.
can offer in this domain. By addressing these research
questions, this research seeks to contribute to the growing Patients interact with Idana through pre-selected
body of AI knowledge in health care, providing insights medical history forms, accessible through a quick response
that can inform future implementations and policies code. They can anonymously complete the medical
aimed at optimizing patient care through technological history form and submit it to the app’s system. The AI
innovation. then generates a summary of the submitted information,
highlighting relevant data (Appendix A). We used the two
The study provides valuable insights into the reception
of AI tools among medical professionals, potential benefits anonymized patient data to give the doctors interviewed
the most realistic possible access to the interview situation
and challenges, and crucial areas for future research. The 25,26
main contributions include: in the sense of a vignette.
1. Demonstrating positive reception among medical In addition to personal contact details, the questionnaire
professionals contains the initial reason for the doctor’s visit and the

Volume 2 Issue 1 (2025) 3 doi: 10.36922/dp.7675