Artificial Intelligence and Future Technologies

Advanced technology development offers immense benefits to the telehealth and broader healthcare marketplace, but challenges to its safe and secure application exist. Navigating the regulatory and policy landscape is an ongoing challenge as we work to understand emerging capabilities and their impact on the delivery of care. CTeL is tracking the development of AI-focused legislation, coalitions, polices, and more.

AI-LLM-Digital Health Policy Updates

AI and Future Technology Resources

Trustworthy AI Playbook: Guidance on major trustworthy Artificial Intelligence concepts and how to use AI solutions safely and confidently. 

HHS Artificial Intelligence Strategy: Intended to encourage AI adoption; enable HHS-wide familiarity, comfort, and fluency with artificial intelligence (AI) technology and its potential; promote AI scaling with the application of best practices and lessons learned from piloting and implementing AI capabilities to additional domains and use cases across HHS; and spark AI acceleration by increasing the speed at which HHS adopts and scales AI and ML. 

Artificial Intelligence Use Cases Inventory: Executive Order 13960, “Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government,” requires agencies to prepare an inventory of non-classified and non-sensitive current and planned Artificial Intelligence (AI) use cases. 

Artificial Intelligence at HHS: Statues and Authorities: Links to relevant documents like executive orders, laws, and regulations. 

CMS AI Resources: Those who wish to engage in AI-related activities, as either a CMS employee, partner, or vendor, should be aware of federal policies regarding the application of AI. Includes links to foundational governance documents on AI and other related resources. 

FDA Digital Health and Artificial Intelligence Glossary: A compilation of commonly used terms in the digital health, artificial intelligence, and machine learning space and their definitions. These definitions are either directly from, or adapted from, various public sources, including consensus standard organizations and published literature. 

March 12, 2025

12:00 to 3:00 PM ET

Washington, D.C.

The use of Artificial Intelligence and Machine Learning (AI/ML) is growing rapidly in healthcare applications. In response, CTeL has established the AI Blue Ribbon Collaborative (AIBRC). This collaboration brings together legal, clinical, and scientific experts to provide unbiased, vendor-neutral information to drive the adoption of safe, effective AI and ML practices.

To boost the visibility of the Collaborative’s work, CTeL is hosting an AI Digital Health Tech Showcase at the U.S. Capitol on March 12, 2025, at the start of a new Congress. This event will unite subject-matter experts to demonstrate the capabilities of these emerging technologies while highlighting the importance of clear policies and regulations. CTeL’s vision is to bring together front-line clinicians and vendors in digital health to highlight how the use of these technologies directly impacts policy makers and their constituents.