Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions DOI Creative Commons
Katy E. Trinkley, Ruopeng An, Anna Maw

et al.

Implementation Science, Journal Year: 2024, Volume and Issue: 19(1)

Published: Feb. 21, 2024

The field of implementation science was developed to address the significant time delay between establishing an evidence-based practice and its widespread use. Although has contributed much toward bridging this gap, evidence-to-practice chasm remains a challenge. There are some key aspects in which advances needed, including speed assessing causality mechanisms. increasing availability artificial intelligence applications offers opportunities help specific issues faced by expand methods.

Language: Английский

Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions DOI Creative Commons
Katy E. Trinkley, Ruopeng An, Anna Maw

et al.

Implementation Science, Journal Year: 2024, Volume and Issue: 19(1)

Published: Feb. 21, 2024

The field of implementation science was developed to address the significant time delay between establishing an evidence-based practice and its widespread use. Although has contributed much toward bridging this gap, evidence-to-practice chasm remains a challenge. There are some key aspects in which advances needed, including speed assessing causality mechanisms. increasing availability artificial intelligence applications offers opportunities help specific issues faced by expand methods.

Language: Английский

Citations

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