Aidoc, an AI healthcare solutions provider, announced that it will collaborate with NVIDIA to co-develop a blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE).
The guidelines aim to address the fragmentation, operational inefficiencies, and scalability issues plaguing healthcare systems despite the availability of more than 900 FDA-cleared AI tools for medical imaging. I’m here.
Scheduled for release in early 2025, BRIDGE will serve as the industry’s first evidence-based framework for integrating AI into clinical workflows.
We provide a comprehensive roadmap from ideation to implementation to scalability across your hospital system.
The guidelines aim to establish a clear pathway for health systems and enable the simultaneous deployment of AI solutions across multiple facilities.
“AI has the potential to revolutionize patient care, but progress is being held back by fragmented systems and an inability to scale effectively,” said Demetri Giannikopoulos, chief transformation officer at Aidoc. ” he said.
“The BRIDGE guidelines focus on breaking down these barriers and provide a strong evidence-based framework to help health systems not only adopt AI, but extend it across their operations. This drives both operational efficiency and significantly better outcomes for patients and clinicians alike. ”
BRIDGE differs from existing guidelines by focusing on the practicalities of actual deployment, rather than focusing solely on governance. It will also focus on responsible development practices.
This addresses the common challenge of not being able to effectively scale AI solutions because integration is not considered early in the development process.
The guidelines simplify the design, validation, deployment, and monitoring of AI tools, allowing health systems to more quickly and effectively deploy and scale AI.
Key focus areas include standardized validation, interoperability, scalable deployment, and continuous monitoring.
Standardized validation specifically ensures that AI solutions are tested over and over again for production, and interoperability integrates AI tools from different vendors.
Scalable deployments enable an efficient AI expansion roadmap, and continuous monitoring provides best practices for AI accuracy post-deployment.
Additionally, the BRIDGE guidelines align with industry frameworks such as MONAI, which provide essential tools for the development, validation, and deployment of medical AI.
MONAI was co-founded in 2019 by academic and industry leaders, including NVIDIA, and will form the foundation upon which the BRIDGE Guidelines will be built.
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Developing the guidelines will involve collaboration with healthcare providers, academic partners, and industry leaders, leveraging expertise and experience from real-world AI applications.
This month, Aidoc expanded its partnership with Integral Diagnostics for AI-powered medical imaging.
“Aidoc and NVIDIA Collaborate to Develop Guidelines for AI Integration in Healthcare” was originally created and published by Hospital Management, a brand owned by GlobalData.
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