AI on the Front Lines
AI progress can stall when end users resist adoption. Developers must think beyond a project’s business benefits and ensure that end users’ workflow concerns are addressed.
The Analysis
- The authors observed the design, development, and integration of 15 AI decision support tools over the past five years at Duke Health.
- They gathered data on the challenges that AI tool implementation presented to hospital managers, end users, and tool developers, focusing on decision support tools in particular.
- They identified best practices for managing stakeholder interests that led to successful tool adoption in the health care setting, and confirmed that similar dynamics ...
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