Integrating enterprise risk management to address AI‐related risks in healthcare: Strategies for effective risk mitigation and implementation

Journal of Healthcare Risk Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Abstract The incorporation of artificial intelligence (AI) in health care offers revolutionary enhancements patient diagnostics, clinical processes, and overall access to services. Nevertheless, this technological transition brings forth various new, intricate risks that pose challenges current safety ethical norms. This research explores the ability enterprise risk management as an all‐encompassing framework tackle these arising risks, providing both a forward‐looking responsive strategy designed for industry. At core method are instruments together seek proactively uncover address AI‐related weaknesses like algorithmic bias, system failures, data privacy issues. On reactive side, it incorporates incident reporting systems root cause analysis, tools enable providers quickly unexpected events consistently improve AI implementation procedures. However, some application difficulties still exist. unclear, “black box” characteristics numerous models hinder transparency responsibility, prompting inquiries about clarity AI‐generated choices their adherence benchmarks treatment. highlights with progress technologies, also needs evolve, addressing new complexities while promoting culture focused on settings.

Language: Английский

From screens to scenes: A survey of embodied AI in healthcare

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103033 - 103033

Published: Feb. 1, 2025

Language: Английский