AI healthcare solutions provider Aidoc has announced a collaboration with NVIDIA to co-develop the Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE).

This guideline aims 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.

Scheduled for release in early 2025, BRIDGE will serve as an industry-first, evidence-driven framework for integrating AI into clinical workflows.

It will offer a comprehensive roadmap from ideation to implementation and scalability across hospital systems.

The guideline is designed to establish clear pathways for healthcare systems, enabling the simultaneous implementation of AI solutions across multiple sites.

Aidoc chief transformation officer Demetri Giannikopoulos said: "AI holds the potential to revolutionise patient care, but its progress has been stalled by fragmented systems and the inability to scale effectively.

"The BRIDGE guideline will focus on breaking down these barriers, offering a powerful, evidence-based framework that health systems can rely on not just to adopt AI but to help scale it across their operations. This will drive both operational efficiency and significantly better outcomes for patients and clinicians alike."

BRIDGE will differ from existing guidelines by concentrating on the practicalities of real-world deployment rather than solely on governance. It will also focus on responsible development practices.

It will address the common challenge of AI solutions failing to scale effectively due to the lack of early consideration for integration within the development process.

The guideline will simplify the design, validation, deployment, and monitoring of AI tools, enabling healthcare systems to adopt and scale AI more rapidly and effectively.

Key areas of focus will include standardised validation, interoperability, scalable deployment, and continuous monitoring.

Standardised validation specifically will ensure AI solutions are tested again and again for practical use, while interoperability will feature integration of AI tools from various vendors.

Scalable deployment will enable an efficient AI expansion roadmap, and continuous monitoring will provide best practices for post-deployment AI accuracy.

Furthermore, the BRIDGE guideline will align with industry frameworks such as MONAI, which provides essential tools for medical AI development, validation, and deployment.

MONAI, co-founded by academia and industry leaders, including NVIDIA, in 2019, will form a foundation for building the BRIDGE guideline.