Is Your AI Partner Aligned With Your Governance Goals?

While clinical AI is revolutionizing healthcare, innovation comes with risk. Health systems must carefully manage AI partnerships to protect patient data, maintain compliance and ensure seamless integration of these technologies into clinical workflows. In short, they need to ensure AI partners are aligned to facility-specific governance.

In the resource “5 Essential Areas of Alignment for Governing Clinical AI Partnerships,” we outline key areas to assess when collaborating with AI developers. From access monitoring to regulatory compliance, it emphasizes the importance of alignment to foster trust and protect patient care.

Alignment to governance upfront ensures your AI initiatives are not only innovative, but sustainable and secure.

Michigan Medicine’s CTO Shares Advantage of Seeing AI as a Toolbox

To truly support clinicians, we must remember that “technology is not their job. Their job is to help patients,” says Tim Calahan, MS, MBA, DBA, Chief Technology Officer at Michigan Medicine. In this video, Dr. Calahan highlights the importance of a unified technological framework that standardizes tools and interfaces, allowing healthcare professionals to focus on patient care rather than grappling with disparate systems. He also shares that creating a “cohesive toolbox” can accelerate innovation and enhance patient outcomes.

The AI Governance Puzzle: How Health Systems Can Keep Up

As AI advances faster than regulations, health systems risk blindly navigating a rapidly changing technology landscape. In this Applied Radiology article, authored by Aidoc’s Chief Transformation Officer, Demetri Giannikopoulos, he explores the critical discussions leaders must have to ensure AI’s safe, effective deployment and shares key factors to help systems stay ahead of the regulatory landscape to secure AI successes.

The Future of Radiology Won’t Wait

“The best time to start using AI was yesterday," says Avi Sharma, MD, CIIP, Director of AI at Jefferson Einstein Hospitals. In a recent conversation, Dr. Sharma shared his journey of integrating AI into radiology, and the early challenges he faced in finding colleagues who saw AI’s long-term potential. After forging a path to create his role, he emphasizes the importance of close collaboration with vendors, seamless integration of AI solutions and encouraging radiologists to embrace these tools. His key advice? Don’t wait - start using AI now.