Investigation of Current Translation Challenges and Barriers to the Use of Artificial Intelligence in the German Healthcare System
Files
Date
2024-01-03
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
3587
Ending Page
Alternative Title
Abstract
It has been suggested that Artificial Intelligence (AI) could be the key to solving some of the biggest challenges (cost saving, care quality improvement, and personal load reduction) facing healthcare today. Although there is a growing trend in research, only a few of these research projects have reached the stage of medical approval. This raises the question of what hurdles and challenges impede the effective translation of AI technologies into routine healthcare practice. Our paper aims to investigate the current translation challenges and barriers to using AI in healthcare, specifically focusing on the European Union, particularly Germany. During our research process, with the help of a workshop and interviews with domain experts, we identified challenges and barriers and will provide a comprehensive overview of the hurdles hindering AI adoption in multifaceted healthcare.
Description
Keywords
IT Adoption, Diffusion, and Evaluation in Healthcare, artificial intelligence, barriers, challenges, germany., machine learning
Citation
Extent
9 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 57th Hawaii International Conference on System Sciences
Related To (URI)
Table of Contents
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Local Contexts
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.