Key Takeaways

• Organizations can adapt existing strategies to govern AI effectively, emphasizing the need for education and clarity on AI tools.
• Engaging healthcare professionals in the adoption of AI technologies is crucial to overcoming resistance and ensuring successful implementation.
• Cloud-based infrastructure and partnerships are essential to address the challenges of traditional data center models and operational costs.

Governance and Education in AI Deployment

During a discussion on building AI governance, Dr. Adam Landman, CIO of Massachusetts General Brigham, highlighted that organizations need not reinvent the wheel. Many may already have governance strategies that can be adapted for AI technologies. He noted that AI presents unique challenges, including issues of validity, accuracy, bias, and equity. It is vital to build upon existing policies rather than create new ones from the ground up.

Landman stressed the importance of organization-wide education about AI, machine learning, and related concepts. Clear communication is essential for everyone involved, particularly in understanding what constitutes “the gold standard of AI” for a specific healthcare system. His organization employs a multi-layered governance approach, with both high-level and detailed tactical groups engaging with the technology. Collaboration across various professional roles, from data scientists to administrative staff, is essential for creating safe working conditions and using AI effectively. He cautioned against outright prohibitions of AI, asserting that a proactive monitoring program is necessary to track AI tool evolution.

Charity Darnell, VP of clinical information at Cook Children’s Health Care System, offered her insights from a nursing perspective. She pointed out that technology is often implemented without involving nurses, leading to hesitance in adopting tools like Artisight for virtual nursing. In response, Cook Children’s created an innovative environment where nurses could test new technologies collaboratively, emphasizing the importance of giving nurses a voice in the decision-making process.

Jeff Sturman, senior VP at Memorial Healthcare System, discussed refining his organization’s AI vision through the involvement of clinical informatics governance and a physician advisory council. He underscored the significance of clinician education and the alignment of data governance with AI governance. His organization relies on partnerships to avoid the complexities of managing data centers and is focused on leveraging cloud solutions.

Evolving Mindsets to Address Challenge

There is an ongoing conversation on the necessity of shifting mindsets in healthcare IT, as noted by Dr. Zafar Chaudry of Seattle Children’s. He observed that traditional approaches to IT infrastructure are no longer suitable and that the heavy investment in physical data centers is increasingly impractical. He identified “technical debt” as a significant challenge facing the industry by 2025.

Chaudry advocates for building collaborations and partnerships to develop cloud-based infrastructures that are more cost-effective and scalable. This modern approach is essential to overcoming the limitations of outdated systems and driving advancements in healthcare technology.

Overall, the discussions highlight that effective AI deployment in healthcare demands robust governance structures, inclusive processes for technology adoption, and a commitment to developing cloud solutions that accommodate changing needs and emerging technologies.

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