Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/32617| Title: | Rapid evidence synthesis 129: Artificial intelligence tools for reducing administrative burden among front-line healthcare providers |
| Authors: | Wu, N Whitelaw, H Wang, Q Phelps, A Sivanesanathan, T DeMaio, P Ali, A Chen, K Dass, R Grewal, E Moat, K |
| Keywords: | artificial intelligence;administrative;burden;front-line;healthcare;providers |
| Publication Date: | May-2025 |
| Citation: | Wu N, Whitelaw H, Wang Q, Phelps A, Sivanesanathan T, DeMaio P, Ali A, Chen K, Dass R, Grewal E, Moat K. Rapid evidence synthesis 129: Artificial intelligence tools for reducing administrative burden among front-line healthcare providers. Hamilton: McMaster Health Forum, 30 May 2025. |
| Series/Report no.: | RES 129; |
| Abstract: | An in-depth synthesis of what is known based on the best available global research evidence (i.e., evidence syntheses) and local research evidence (i.e., single studies) and may include a scan of experiences from other countries and from Canadian provinces and territories, about artificial intelligence tools for reducing administrative burden among front-line healthcare providers in response to a decision-maker's request. |
| URI: | http://hdl.handle.net/11375/32617 |
| ISSN: | 2819-5639 |
| Appears in Collections: | Rapid evidence synthesis |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| res129_cma-ai-admin-burden_1_report.pdf | 495.81 kB | Adobe PDF | View/Open | |
| res129_cma-ai-admin-burden_2_appendices.pdf | 941.23 kB | Adobe PDF | View/Open |
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