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Blog
Alex Kane

4 Takeaways from HLTH 2024

aiOS, C-Suite, Outcomes, System Integration
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The theme at HLTH 2024 was clear: disruption, but this time it’s coming from within health systems, not just from big tech and consumer brands. From new business models to AI implementation and skills-focused recruitment, here are four insights and major announcements that got people talking.

Disruption is Coming from Within Health Systems 

Greg Adams, Chair and CEO at Kaiser Permanente, outlined the strategy behind Risant Health, a venture launched in 2023 to challenge traditional healthcare models. Through the acquisitions of Geisinger, Cone Health and other community hospitals, Risant is scaling value-based care by empowering community hospitals with resources to improve affordability and outcomes. Adams emphasized the need for bold leadership, calling for decisive action to disrupt the status quo and push healthcare to meet its full potential.

Cross-Industry Collaborations Take the Main Stage

Kimberly Powell, Vice President of Healthcare at NVIDIA, announced a collaboration with Aidoc to create the “Blueprint for Resilient Integration and Deployment of Guided Excellence” (BRIDGE) framework. This initiative aims to provide accessible guidelines for integrating AI into clinical workflows, addressing scalability and interoperability from the start to ensure AI solutions can scale across multiple sites simultaneously. Learn how you can get involved.

Additionally, the Coalition for Health AI (CHAI) introduced its first applied model card, completed by Aidoc for its intracranial hemorrhage (ICH) algorithm. This “nutrition label” approach offers transparency on the model’s functionality, limitations and bias mitigation, helping health systems assess AI tools. Aidoc’s Chief Transformation Officer, Demetri Giannikopoulos, is a member of the CHAI workgroup.

Workflow is the Key to AI Success

Daniel Yang, MD, VP of AI and Emerging Technologies at Kaiser Permanente, highlighted the critical role of integrating AI into existing workflows. Kaiser’s ICU prediction algorithm, deployed across 20 hospitals, saved 500 lives annually. However, Yang emphasized that it wasn’t the algorithm that saved those lives, it was how the AI insights were embedded into clinical workflows that enabled clinicians to make life-saving decisions. He said: “Whatever the technology is, if you can’t have the workflow or people who trust and buy into it, it won’t work.”

As this example illustrates, integrating AI into the entire clinical workflow is vital. Platforms like Aidoc’s aiOS do this by seamlessly fitting into native workflows and IT infrastructure, delivering AI insights without bypassing or breaking them. A platform is also flexible, allowing for highly configurable integrations, adaptable from the health system to the physician level.

Bridging the Digital and Clinical Worlds

Cleveland Clinic CEO Tom Mihaljevic, MD, spotlighted another disruptive move by sharing why he hired the organization’s CDO and Chief of AI from Silicon Valley, rather than the healthcare sector. This decision was driven by a need to bridge advanced AI skills with the system’s existing healthcare expertise to close critical gaps. As Mihaljevic explained, this approach aligns with Cleveland Clinic’s goal: “AI helps democratize access for patients everywhere.”

Missed the chance to connect with Aidoc at HLTH 2024? Request a meeting with one of our enterprise AI specialists. 

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Alex Kane

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