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The ECRI Institute's annual report highlights AI-enabled health technologies as the top health technology hazard for 2025. It emphasizes the need for healthcare organizations to monitor AI biases and ensure human oversight in patient care decisions. The report also identifies cybersecurity threats and inadequate technical support for home medical devices as significant risks.
ECRI advocates for robust AI governance, particularly for hospitals and health systems, to mitigate risks associated with AI technologies. Smaller healthcare facilities may struggle to keep pace due to limited resources, potentially compromising patient safety. The report underscores the importance of thorough vetting of third-party vendors to prevent data breaches and service disruptions.
• AI-enabled health technologies ranked as the top health technology hazard for 2025.
• ECRI calls for strong AI governance to mitigate risks in healthcare.
AI governance refers to the frameworks and policies that ensure responsible AI use in healthcare.
Algorithm bias occurs when AI systems produce unfair or prejudiced outcomes affecting patient care.
Model drift refers to the degradation of AI model performance over time due to changing data patterns.
Change Healthcare is a subsidiary of UnitedHealth Group that focuses on medical claims processing and health technology solutions.
ECRI Institute is a nonprofit organization that provides research and analysis on healthcare technology safety and effectiveness.
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