Version 1
: Received: 14 November 2023 / Approved: 15 November 2023 / Online: 15 November 2023 (09:57:14 CET)
How to cite:
Sides, T.; Kbaier, D.; Farrell, T.; Third, A. Exploring the Potential of Artificial Intelligence in Primary Care: Insights From Stakeholders’ Perspectives. Preprints2023, 2023110995. https://doi.org/10.20944/preprints202311.0995.v1
Sides, T.; Kbaier, D.; Farrell, T.; Third, A. Exploring the Potential of Artificial Intelligence in Primary Care: Insights From Stakeholders’ Perspectives. Preprints 2023, 2023110995. https://doi.org/10.20944/preprints202311.0995.v1
Sides, T.; Kbaier, D.; Farrell, T.; Third, A. Exploring the Potential of Artificial Intelligence in Primary Care: Insights From Stakeholders’ Perspectives. Preprints2023, 2023110995. https://doi.org/10.20944/preprints202311.0995.v1
APA Style
Sides, T., Kbaier, D., Farrell, T., & Third, A. (2023). Exploring the Potential of Artificial Intelligence in Primary Care: Insights From Stakeholders’ Perspectives. Preprints. https://doi.org/10.20944/preprints202311.0995.v1
Chicago/Turabian Style
Sides, T., Tracie Farrell and Aisling Third. 2023 "Exploring the Potential of Artificial Intelligence in Primary Care: Insights From Stakeholders’ Perspectives" Preprints. https://doi.org/10.20944/preprints202311.0995.v1
Abstract
Artificial intelligence (AI) has grown in healthcare in recent years. The UK government recognises AI’s potential to enhance NHS services, yet research on AI in primary care (PC) has received limited attention. AI acceptance presents unique challenges in PC, characterised by fragmented structures, heterogeneous data sources, and multiple government departments. The organisational levels within PC are categorised as macro, meso, and micro levels. Existing research has predominantly focused on micro-level stakeholders. Our online survey addressed this research gap by encom-passing stakeholder perspectives at all levels. The results demonstrate the critical role of me-so-level stakeholders in facilitating AI acceptance. Importantly, a lack of understanding of AI terminology and concepts, concerns over potential job displacement, and the importance of em-pathy in patient care are highlighted as key challenges. Stakeholders also express the need for standardised AI terminology, comprehensive training, and regulatory standards to ensure equi-table and effective AI utilisation. This study lays the foundation for future in-depth interviews and further exploration of AI's role in PC. Observations in secondary care indicate that practitioners have substantial concerns about AI, how it works, and its limitations. Explainable AI can help technologists address such concerns, but first, we need to understand primary care's information needs.
Keywords
artificial intelligence; primary care; AI acceptance; patient-centered care; eXplainable AI
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
