The promises and challenges of clinical AI in community paediatric medicine
| العنوان: | The promises and challenges of clinical AI in community paediatric medicine |
|---|---|
| المؤلفون: | Devin Singh, Sujay Nagaraj, Ryan Daniel, Colleen Flood, Dina Kulik, Robert Flook, Anna Goldenberg, Michael Brudno, Ian Stedman |
| المصدر: | Paediatrics & Child Health. |
| بيانات النشر: | Oxford University Press (OUP), 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Pediatrics, Perinatology and Child Health |
| الوصف: | 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. |
| تدمد: | 1918-1485 1205-7088 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::dc256a4215d8159ebacea2b8d13141b2 https://doi.org/10.1093/pch/pxac080 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........dc256a4215d8159ebacea2b8d13141b2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19181485 12057088 |
|---|