• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany.
 

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

Options
  • Details
  • Files
BORIS DOI
10.48620/91904
Publisher DOI
10.1136/bmjopen-2025-100516
PubMed ID
40921645
Description
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.
Date of Publication
2025-09-08
Publication Type
Article
Keyword(s)
Artificial Intelligence
•
Cross-Sectional Studies
•
Health & safety
•
Public health
Language(s)
en
Contributor(s)
Amberger, Olga Anastasia
Lemke, Dorothea
Müller, Hardy
Lüttel, Dagmar
Schwappach, Davidorcid-logo
Institute of Social and Preventive Medicine
Geraedts, Max
Müller, Beate S
Additional Credits
Institute of Social and Preventive Medicine
Series
BMJ Open
Publisher
BMJ Publishing Group
ISSN
2044-6055
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: dd892c [ 9.04. 8:30]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo