Safety Strategies to Minimize AI Risks in Healthcare
The following patient safety and risk management strategies for AI in healthcare are offered by Sue Boisvert, BSN, MHSA, CPPS, CPHRM, DFASHRM, senior patient safety risk manager with The Doctors Company in Napa, CA:
- Review and apply the National Institute of Standards and Technology AI risk management framework (https://bit.ly/42pIkmr) and the HTI-1 final rule to the organization’s AI systems (https://bit.ly/3HP7XmR).
- Check current insurance policies and ask the insurance companies about AI-specific products.
- Form a multidisciplinary team to guide AI purchasing, implementation, and use.
- Educate and train staff on the functionality, risk, and performance of AI-enabled instruments.
- Develop and monitor scorecards for AI performance and outcomes.
- Address the issues of billing, documentation, and reading of different portions of the AI-augmented computed tomography angiography scan.
Patient safety and risk management strategies for AI in healthcare are crucial for avoiding liability and preventing medical errors.
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