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Lauren Dubinsky, Senior Reporter | October 24, 2024
Aidoc and NVIDIA are working together to develop guidelines to help facilities address the practical challenges of AI deployment. The Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE) guideline is expected to be released in early 2025.
“NVIDIA and Aidoc are leading this initiative because we've seen firsthand where AI implementation can succeed or fail,” Demetri Giannikopoulos, chief transformation officer at Aidoc, told HCB News. “Existing guidelines tend to focus on theoretical frameworks — assuming certain steps have already been taken — and advising on how to manage them.”
He added that their approach is grounded in practical, real-world experiences from deploying AI in more than 1,200 institutions. They used what they learned from those experiences to create the BRIDGE guideline.
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Although over 900 AI tools for medical imaging are cleared by the FDA, health systems still struggle with operational inefficiencies and scalability issues. BRIDGE will offer insight into how to integrate AI into clinical workflows and help health systems create clear pathways for using AI to improve patient outcomes.
Many AI solutions have this issue with scalability because integration was not ironed out early in the development process. BRIDGE will allow health systems to address scalability and interoperability from the beginning, which will allow them to implement AI solutions across multiple sites concurrently.
“While there are already essential guidelines in healthcare focused on governance and regulation, these typically come into play after AI is implemented in real-world settings,” said Giannikopoulos. “The gap we're addressing with BRIDGE is the ‘before’ — the stage where organizations are planning AI integration.”
He explained that facilities building AI systems for the first time need to know the right questions to ask regarding change management and adoption. The BRIDGE guideline will help them navigate those early-stage decisions and considerations so they are more likely to succeed from an implementation and scale standpoint.
BRIDGE will mainly focus on four areas: standardized validation to ensure the AI solutions are rigorously tested for real-world use, interoperability, scale deployment, and continuous monitoring through offering best practices to maintain AI accuracy after deployment.
BRIDGE will align with industry frameworks such as MONAI to build a blueprint for the medical AI enterprise platform. MONAI, which was developed in 2019 to provide essential tools for medical AI development, validation, and deployment, is currently used by FDA-approved software-as-medical-device applications.
Aidoc and NVIDIA will consult with healthcare providers, academic partners, and industry leaders while developing BRIDGE. According to Giannikopoulos, they are actively involving health systems to “pressure test the guidelines and ensure they are even more robust, practical, and adaptable to real-world needs.”