@ShahidNShah
he implementation of innovations in practice is challenging and often produces disappointing outcomes. Although the reasons for this are multifaceted, part of the challenge derives from the lack of consensus on how such implementation outcomes should be conceptualized and measured. In this review, we used a meta-ethnographic approach to enhance our theoretical conceptualization of implementation outcomes. By situating such outcomes within the overall process of implementation, we were able to unpack them analytically as the product of two major components, which we term “modes” and “attributes,” respectively. Modes comprise engagement, active implementation, and integration to foreground focal implementation outcomes.
The paper presents a refined framework for measuring how healthcare innovations are implemented—breaking outcomes into three modes (engagement, active implementation, integration) and five attributes (depth, breadth, pace, adaptation, de-implementation).
Continue reading at frontiersin.org
Artificial Intelligence (AI) holds great promise for transforming healthcare, particularly in disease diagnosis, prognosis, and patient care. The increasing availability of digital medical data, such …
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