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Design+ AI’s role in medical history taking

seriously, they can enter everything and it’s not a of AI-generated anamnesis data. This includes exploring
doctor who somehow has a minute and then runs methods for integrating AI with existing medical record
off again.”(I3; 60 – 64) systems and establishing protocols for human oversight.
The study of Chadadd points out: “More particularly,
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As Esmaeilzadeh et al. outlines, even though
physicians and other health-care stakeholders are adopting it is necessary for the actual XAI (explainable AI – the
AI to varying degrees, it is vital to understand patients’ author) application to take into account users without the
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attitudes toward these different scenarios. However, necessary AI training.”
there is currently limited insight into the risk perceptions “But in neurology in particular, we have patients
associated with using AI for diagnosis and treatment in a who are not quite cognitively capable of operating,
clinical setting from the general public’s perspective. selecting and answering the questions. So I don’t
Technology acceptance and, above all, trust in the know to what extent that’s really the case for us.”
way AI works in medical history taking requires further (I09, 107ff)
consideration. (F). Ethical and legal considerations (Situation-anamnesis:
(C). Assessing stress reduction and job satisfaction System functions)
(Situation-anamnesis: Time and stress level) Research addressing the ethical and legal implications
Quantitative studies are needed to measure the impact of using AI in medical history-taking is essential. This
of AI on health-care professionals’ stress levels and job includes exploring issues related to data privacy, consent,
satisfaction. This research can provide insights into how and the responsibility of medical professionals in cases of
AI’s role in reducing routine tasks influences overall AI errors.
workplace morale and mental health. “In the area of data protection, for example,
“Of course, I first have to read and evaluate what the there are so many things that are simply entered,
AI then spits out. That also takes time.” (I04, 60f) for example, let’s say disability insurance, or if
someone wants to take out term life insurance,
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Karal and Turan are considering the use of AI in that things suddenly come to light that would be
anamnesis as helpful to diagnose patients more accurately relevant for the insurance company, but perhaps
but their insights do not address stress reduction or job not for the patient at that moment, and that could
satisfaction. somehow be detrimental to the patient. I would
(D). Evaluating the impact on doctor–patient relationships have reservations about that.” (I09, 57 – 62)
(Situation-anamnesis: Doctor–patient relationship) Morley et al. explain what policymakers need to
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Longitudinal studies should be conducted to assess how consider “if they are to enable health and care systems to
AI integration in anamnesis affects the quality and depth capitalize on the dual benefits of ethical AI: Maximizing the
of doctor–patient interactions over time. This research opportunities to reduce costs, improve care and increase
should aim to identify strategies to mitigate any potential the efficiency of health and care systems, while proactively
negative impacts on these crucial relationships. avoiding the potential harms.” According to Morley et
al., there is considerable research on the ethics of AI in
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“But I could also imagine that patients find that health care and even for use in anamnesis. However, a
more of a hindrance to building a sustainable defined set of ethical guidelines for AI usage in health care
doctor–patient relationship. They attach more are currently unavailable, nor has every physician been
importance to starting slowly, slowly getting into educated about the essential ethical rules.
conversation.” (I07, 61 – 64)
These propositions for further research address the
Sauerbrei et al. states in their literature review: “In the complex dynamics and multifaceted considerations
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longer term, the debate is still open with regards to how necessary when integrating AI technologies into health
human preferences for AI-led health care will evolve.“ care. By pursuing these lines of inquiry, we can work toward
The subject of the doctor–patient relationship under the optimizing the integration of AI in medical anamnesis,
influence of the use of AI has obviously not been finalized. ultimately improving patient care and operational
(E). Developing robust verification mechanisms (Situation efficiency in health-care systems.
–anamnesis: Adoption to area of application) It is important to note that while AI shows promise in

Future research should focus on creating and testing enhancing medical anamnesis, some doctors expressed
verification systems to ensure the accuracy and reliability uncertainty about its precise impact on quality:

Volume 2 Issue 1 (2025) 9 doi: 10.36922/dp.7675