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Knowledge creation using artificial intelligence: a twin approach to improve breast screening attendance.
Vikraman Baskaran1, Rajeev K Bali, Hisbel Arochena
1Biomed. Comput. & Eng. Technol. Appl. Res. Group, Coventry Univ. v.baskar@coventry.ac.uk
Summary
This study explores knowledge creation (KC) within the UK's National Health Service breast screening program. It suggests artificial intelligence can enhance KC to improve patient care and address screening non-attendance.
Area of Science:
- Healthcare Management
- Knowledge Management Systems
- Artificial Intelligence in Healthcare
Background:
- Knowledge management (KM) is crucial for improving patient care in healthcare.
- KM involves a cycle of knowledge creation (KC), sharing, and accessibility.
- The UK's National Health Service (NHS) breast screening service faces challenges with non-attendance.
Purpose of the Study:
- To examine the role and potential of knowledge creation (KC) within the NHS breast screening service.
- To explore how artificial intelligence (AI) can automate and enhance KC processes.
- To discuss strategies for increasing attendance rates in breast screening programs.
Main Methods:
- Conceptual analysis of KM principles applied to healthcare.
- Discussion of AI integration for automating knowledge creation.
- Review of challenges and potential solutions for breast screening non-attendance.
Main Results:
- KC is a foundational element for effective KM in healthcare.
- AI offers significant potential for automating KC, improving efficiency.
- Targeted interventions informed by enhanced KC may increase screening attendance.
Conclusions:
- Integrating AI into KM processes can optimize the NHS breast screening service.
- Enhanced KC is vital for addressing operational challenges like non-attendance.
- Further research into AI-driven KM strategies is warranted for healthcare improvement.