Introducing BRIDGE: A Framework for AI Adoption in Healthcare
Aidoc and NVIDIA have joined forces to develop an open-source framework called BRIDGE, aimed at assisting chief information officers and governance leaders in managing the complexities that come with implementing artificial intelligence in clinical settings. The framework addresses issues related to vendor fragmentation, evaluation processes, and IT strategies that often arise with the adoption of AI in healthcare.
What is BRIDGE?
BRIDGE, which stands for Blueprint for Resilient Integration and Deployment of Guided Excellence, aims to standardize validation, interoperability, scalability, deployment, and continuous monitoring of AI systems in healthcare. By providing a shared foundation for assessing and integrating machine learning platforms, BRIDGE seeks to streamline AI adoption and ensure faster and more successful implementation in healthcare systems.
Why It Matters
Health systems and their vendors can benefit from BRIDGE by having a clear roadmap for evaluating AI tools based on technical, regulatory, operational, and trust-building criteria. This framework can help address the lack of shared definitions and expectations surrounding AI deployment in healthcare, ultimately promoting safe and responsible integration of AI technologies.
Dr. Efstathia Andrikopoulou, echocardiography medical director at Harborview Medical Center, emphasized the importance of trust, transparency, and system-level readiness when deploying AI at scale. She believes that BRIDGE provides the structure necessary for health systems to implement AI technologies effectively.
The Larger Trend
Aidoc and NVIDIA’s collaboration on BRIDGE reflects a broader trend in the healthcare industry towards accelerating the adoption of AI technologies. By developing an evidence-based framework for health AI, these companies are addressing common challenges faced by providers and healthcare organizations in integrating AI into clinical workflows.
Both Aidoc and NVIDIA bring valuable expertise to the table, with Aidoc offering AI tools for real-time insights in clinical settings and NVIDIA providing microservices for integrating generative AI into various healthcare applications.
Final Thoughts
As AI continues to play a larger role in healthcare delivery, frameworks like BRIDGE are essential for guiding health systems in navigating the complexities of AI adoption. By establishing best practices, trust-building mechanisms, and scalability strategies, BRIDGE sets the stage for responsible and effective integration of AI technologies in healthcare.
Overall, BRIDGE offers a comprehensive approach to AI adoption in healthcare, helping providers and organizations leverage the power of AI in improving patient care and outcomes.
Andrea Fox is senior editor of Healthcare IT News.
Email: afox@himss.org
Healthcare IT News is a HIMSS Media publication.
