AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis.

ABSTRACT:

Background

Artificial intelligence (AI) has the potential to revolutionize health care by enhancing both clinical outcomes and operational efficiency. However, its clinical adoption has been slower than anticipated, largely due to the absence of comprehensive evaluation frameworks. Existing frameworks remain insufficient and tend to emphasize technical metrics such as accuracy and validation, while overlooking critical real-world factors such as clinical impact, integration, and economic sustainability. This narrow focus prevents AI tools from being effectively implemented, limiting their broader impact and long-term viability in clinical practice.

Objective

This study aimed to create a framework for assessing AI in health care, extending beyond technical metrics to incorpor

SUBMITTER: Jacob C 

PROVIDER: S-EPMC11840377 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature