The promises and challenges of clinical AI in community paediatric medicine
- PMID: 37287484
- PMCID: PMC10243963
- DOI: 10.1093/pch/pxac080
The promises and challenges of clinical AI in community paediatric medicine
Abstract
The widespread adoption of virtual care technologies has quickly reshaped healthcare operations and delivery, particularly in the context of community medicine. In this paper, we use the virtual care landscape as a point of departure to envision the promises and challenges of artificial intelligence (AI) in healthcare. Our analysis is directed towards community care practitioners interested in learning more about how AI can change their practice along with the critical considerations required to integrate AI into their practice. We highlight examples of how AI can enable access to new sources of clinical data while augmenting clinical workflows and healthcare delivery. AI can help optimize how and when care is delivered by community practitioners while also improving practice efficiency, accessibility, and the overall quality of care. Unlike virtual care, however, AI is still missing many of the key enablers required to facilitate adoption into the community care landscape and there are challenges we must consider and resolve for AI to successfully improve healthcare delivery. We discuss several critical considerations, including data governance in the clinic setting, healthcare practitioner education, regulation of AI in healthcare, clinician reimbursement, and access to both technology and the internet.
Keywords: Artificial Intelligence; Community medicine; Paediatrics; Regulation.
© The Author(s) 2023. Published by Oxford University Press on behalf of the Canadian Paediatric Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Conflict of interest statement
D.S. is the co-founder and CEO of a Canadian healthcare technology start-up company called Hero AI. D.K. is a Board member of Resilient Kids Canada. There are no other disclosures. There are no other reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
References
-
- Royal College of Physicians and Surgeons of Ontario. Telemedicine and virtual care guidelines (and other clinical resources for COVID-19) [Internet]. 2020. Available from: https://www.royalcollege.ca/rcsite/documents/about/covid-19-resources-te...
-
- Thompson WR, Reinisch AJ, Unterberger MJ, Schriefl AJ.. Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial. Pediatr Cardiol. 2019;40(3):623–9. - PubMed
LinkOut - more resources
Full Text Sources