HIMSS Releases Guidance for Responsible AI Governance and Deployment in Healthcare

HIMSS has revised its Public Policy Principles with new guidance to promote and accelerate the responsible governance and deployment of artificial intelligence and machine learning in healthcare.

HIMSS’s AI principles provide critical guardrails to foster trust and advancement, including insight on safety, accountability, transparency, privacy, interoperability, facilitating innovation and workforce development.

Read the HIMSS AI Public Policy Principles.

“AI has been implemented within some healthcare settings for decades,” said Tom Leary, HIMSS senior vice president and head of government relations. “The technology is changing weekly, daily and even hourly, and it is incumbent upon us to realize responsible governance. AI and ML are critical tools for digital health transformation, and national, regional and community leaders — along with tech companies and healthcare organizations — all have a duty to embrace innovation while also ensuring equity, safety, privacy, interoperability and workforce sustainability.”

HIMSS developed its Global Public Policy Principles to ensure that all governments — regardless of structure, payment system or geography — have tools to improve policy to support the rapid speed of innovation and address the growing complexity of health and delivery systems.

The HIMSS Public Policy Principles serve as guideposts for policy development and analysis across all health domains in support of HIMSS’s foundational goals. The new AI principles urge AI governance and deployment that demonstrate benefit to stakeholders in the health and human services sector and ensures AI is continually monitored and revalidated following deployment in the field.

HIMSS will delve into the revised AI Public Policy Principles during the AI In Healthcare Forum on Sept 5-6 in Boston.