Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives

Journal article

Background: Amidst a backdrop of crisis in primary healthcare, characterised by increasing patient demands and a stagnant workforce, artificial intelligence (AI) is proposed as a potential enhancer of clinical efficacy and decision‐making support. Interviews explored how AI could serve as a ‘clinical nudge’, assisting rather than supplanting human decision‐makers. Method: This qualitative study explores stakeholder perceptions of AI in NHS primary care settings in the Northwest of England through semi‐structured interviews and site visits. Participants included healthcare professionals and patients. Results: All highlighted AI’s potential to manage large amounts of patient data that may contain inaccuracies or irrelevant information effectively, and aid in the implementation of clinical guidelines. However, concerns about data quality, cybersecurity and the impact on clinical skills were prevalent. Conclusions: Findings suggest a cautious but optimistic view of AI as a tool for improving efficiency and patient safety in primary care, emphasising the need for robust governance structures to ensure its beneficial integration into clinical workflows. This study underlines the necessity of balancing technological innovation with the preservation of essential human elements within the healthcare process

Authors: Fazakarley, CA; Breen, M; Leeson, P; Thompson, B; Williamson, V

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: BMJ Publishing Group
• Journal: BMJ Open
• Volume: 13
• Issue: 12
• Pages: e076950-e076950
• Publication date: 2023-12-11
• Acceptance date: 2023-11-24
• DOI: 10.1136/bmjopen-2023-076950
• EISSN: 2044-6055
• ISSN: 2044-6055
• Language: English
• Keywords: Medicine; Qualitative research; Health care; Medical education; Thematic analysis; Nursing; Stakeholder; Healthcare service; Public relations