Acceptance of Medical History-Taking Supported by Artificial Intelligence and Chatbots: A Population-Based Survey in Germany

: The findings suggest that gender- and age-specific differentiation-aside from considering the needs of older adults-may be less relevant for designing digitalization strategies than previously assumed. Instead, the focus of medical practices should lie on the practicability of the tool used. Despite currently low EHR utilization rates in Germany, medical practices may expect broad patient approval regarding the digital storage of medical history data.

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Publication Details

Journal
Healthcare
Published
2026-03-31
DOI
https://doi.org/10.3390/healthcare14070905
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Acceptance of Medical History-Taking Supported by Artificial Intelligence and Chatbots: A Population-Based Survey in Germany

Edda Currle, Karsten Weber, Sonja Haug
Healthcare
Artificial Intelligence in Healthcare and Education
article

Acceptance of Medical History-Taking Supported by Artificial Intelligence and Chatbots: A Population-Based Survey in Germany

Edda Currle, Karsten Weber, Sonja Haug
article en

Abstract

: The findings suggest that gender- and age-specific differentiation-aside from considering the needs of older adults-may be less relevant for designing digitalization strategies than previously assumed. Instead, the focus of medical practices should lie on the practicability of the tool used. Despite currently low EHR utilization rates in Germany, medical practices may expect broad patient approval regarding the digital storage of medical history data.

HealthcareVol. 14(7)
OTH Regensburg (DE)
Gender equality
Openalex Percentile: Top 29%
Artificial Intelligence in Healthcare and Education
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