Key points: The integration of artificial intelligence (AI) into healthcare systems presents a complex landscape that requires careful consideration. Healthcare leaders need to define how to manage the data used in AI programs and create a monitoring strategy. At the same time, AI information governance needs to be applied carefully, so that it doesn’t slow down innovation.
Artificial Intelligence (AI) has started to reshape how healthcare is delivered and experienced, and the healthcare industry is excited about the technology’s potential to increase efficiency and improve patient outcomes.
But as AI operates with vast amounts of sensitive health data,
healthcare leaders still have a lot of work to do when it comes to establishing basic rules related to data privacy and security, as well as legal issues.
Earlier this year, a survey by the Center for Connected Medicine with 35 healthcare leaders from 34 health systems revealed that only 16% of health systems presently have a systemwide governance policy specifically intended to address AI usage.
Providers and other healthcare organizations need standardized frameworks they can adopt to ensure their AI tools are safe and perform well over time.
“Frameworks like IEEE UL 2933 provide guidelines for AI safety and ethics in healthcare settings. The NIST AI RMF outlines best practices for securing AI systems, addressing vulnerabilities and ensuring data integrity.
Utilizing these frameworks helps organizations navigate the complexities of AI governance. They offer structured approaches to implementing security measures, ethical guidelines and compliance protocols, which are essential for maintaining trust and accountability.”
AI information governance needs to fit into a health system’s strategy. Many healthcare organizations are creating governance committees to manage adoption, growth and monitoring – but there are no common practices for who sits on that committee.
“Implementing a governance model, inclusive of data, is important to help ensure the effective use and quality of data, mitigate data bias for equitable design and safeguard patient privacy.”
(source: https://www.healthcareitnews.com/news/healthcare-should-broaden-efforts-scale-genai-say-it-leaders)
The transformative potential of AI in healthcare is enormous, but it brings responsibilities. Organizations must be accountable for AI governance, making sure that AI systems are secure, ethical, and trustworthy.
AI governance doesn’t just apply to the safety checks that are performed before a tool is put into practice. Continuous quality monitoring is just as important.
At PCG, we can help your organization effectively govern AI functions within your information systems by providing visual team ownership for each AI function, ensuring continuity of compliance while identifying potential risks.
If you have questions about AIRMAP, PCG’s new leading AI governance compliance platform designed to meet NIST and other regulatory requirements, visit
https://primeauconsultinggroup.com/regulatory-compliance-airmap/
Resources:
https://www.healthcareitnews.com/news/healthcare-should-broaden-efforts-scale-genai-say-it-leaders
