A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
University Hospitals of Leicester NHS Trust · Serviço Nacional de Aprendizagem Comercial · +2 more institutions
Abstract
Artificial intelligence (AI) is expected to improve healthcare outcomes by facilitating early diagnosis, reducing the medical administrative burden, aiding drug development, personalising medical and oncological management, monitoring healthcare parameters on an individual basis, and allowing clinicians to spend more time with their patients. In the post-pandemic world where there is a drive for efficient delivery of healthcare and manage long waiting times for patients to access care, AI has an important role in supporting clinicians and healthcare systems to streamline the care pathways and provide timely and high-quality care for the patients. Despite AI technologies being used in healthcare for some…
Citation impact
- FWCI
- 11.03
- Percentile
- 100%
- References
- 69
Authors
6- MIMolla Imaduddin AhmedCorresponding
University Hospitals of Leicester NHS Trust, Serviço Nacional de Aprendizagem Comercial, Birmingham and Midland Eye Centre, University Hospitals Coventry and Warwickshire NHS Trust
- BSBrendan Spooner
Birmingham and Midland Eye Centre, University Hospitals Coventry and Warwickshire NHS Trust, Serviço Nacional de Aprendizagem Comercial, University Hospitals of Leicester NHS Trust
- JIJohn Isherwood
University Hospitals of Leicester NHS Trust, University Hospitals Coventry and Warwickshire NHS Trust, Serviço Nacional de Aprendizagem Comercial, Birmingham and Midland Eye Centre
- MAMark A. Lane
University Hospitals of Leicester NHS Trust, Serviço Nacional de Aprendizagem Comercial, Birmingham and Midland Eye Centre, University Hospitals Coventry and Warwickshire NHS Trust
- EOEmma Orrock
Serviço Nacional de Aprendizagem Comercial, University Hospitals of Leicester NHS Trust, Birmingham and Midland Eye Centre, University Hospitals Coventry and Warwickshire NHS Trust
Topics & keywords
- Health care
- Medicine
- Covert
- Healthcare delivery
- Workforce
- Quality (philosophy)
- Applications of artificial intelligence
- Patient safety