Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany.

Objectives To explore perceptions of digitalisation and patient safety from the view of the German general public and related sociodemographic factors.Design Cross-sectional survey.Setting A nationwide survey was undertaken in 2024, using data from the Techniker Krankenkasse (TK) Monitor of Patient Safety. The TK Monitor of Patient Safety is an annual survey of the population on the state of patient safety in medical care.Participants 1000 German adults (18 years and older).Primary And Secondary Outcome Measures Ordinal logistic regression analyses were performed to investigate the associations among sociodemographic factors (age, gender, education and household income) and perceptions on digitalisation and patient safety.Results The majority of respondents expected benefits from digital applications in healthcare. Over half of the respondents (58%) believed that artificial intelligence (AI) can help reduce complications and errors, while 49% of the respondents believed that the use of AI poses serious new risks for the healthcare sector. The results showed that sociodemographic variables are important factors influencing patient safety perceptions of digitalisation and AI. Female, older, less educated and/or lower-income individuals were less likely to perceive benefits from digital care applications and AI.Conclusions In our study, the German public appears to view digital technologies and AI as tools both for improving patient safety and as potential risk factors. Our findings also highlight the importance of analysing sociodemographic factors to identify specific disparities in how different groups are affected by digitalisation. Such analysis is essential for developing targeted strategies that mitigate current patient safety risks, ensuring that digital health solutions are equitable and safe across all demographic groups.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-09-08
DOI
https://doi.org/10.48620/91904
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany.

Open Access CRIS of the University of Bern
Artificial Intelligence in Healthcare and Education
article

Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany.

article en

Abstract

Objectives To explore perceptions of digitalisation and patient safety from the view of the German general public and related sociodemographic factors.Design Cross-sectional survey.Setting A nationwide survey was undertaken in 2024, using data from the Techniker Krankenkasse (TK) Monitor of Patient Safety. The TK Monitor of Patient Safety is an annual survey of the population on the state of patient safety in medical care.Participants 1000 German adults (18 years and older).Primary And Secondary Outcome Measures Ordinal logistic regression analyses were performed to investigate the associations among sociodemographic factors (age, gender, education and household income) and perceptions on digitalisation and patient safety.Results The majority of respondents expected benefits from digital applications in healthcare. Over half of the respondents (58%) believed that artificial intelligence (AI) can help reduce complications and errors, while 49% of the respondents believed that the use of AI poses serious new risks for the healthcare sector. The results showed that sociodemographic variables are important factors influencing patient safety perceptions of digitalisation and AI. Female, older, less educated and/or lower-income individuals were less likely to perceive benefits from digital care applications and AI.Conclusions In our study, the German public appears to view digital technologies and AI as tools both for improving patient safety and as potential risk factors. Our findings also highlight the importance of analysing sociodemographic factors to identify specific disparities in how different groups are affected by digitalisation. Such analysis is essential for developing targeted strategies that mitigate current patient safety risks, ensuring that digital health solutions are equitable and safe across all demographic groups.

Open Access CRIS of the University of Bern
Institute of Social and Preventive Medicine (CH)
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany. · Open Access CRIS of the University of Bern (2025) | TGRS Research Map | TGRS