The AHA’s American Organization for Nursing Leadership will host a webinar Aug. 5 at noon ET on how nurse leaders can guide ambient documentation from pilot design to sustainable implementation.
Artificial Intelligence (AI)
American Hospital Association resources on artificial intelligence (AI) and machine learning, their impact on the health care field, and AI and machine learning innovation in hospitals and health systems.
In this conversation, Ajay Gupta, board vice chair for Trinity Health Mid-Atlantic, explains how trustees can confidently guide artificial intelligence adoption while protecting patients and supporting innovation.
In this conversation, Ajay Gupta, board vice chair for Trinity Health Mid-Atlantic, explains how trustees can confidently guide AI adoption while protecting patients and supporting innovation.
Google is investing in partnerships with health systems to advance the adoption of AI solutions in clinical settings and enhance both provider and patient experiences.
The Department of Health and Human Services July 22 announced that it will participate in the Genesis Mission, an artificial intelligence initiative focusing on scientific research that originated from a November 2025 executive order.
Edward You, former FBI Supervisory Special Agent and founder of EHY Consulting, explains why healthcare organizations must look beyond artificial intelligence tools and focus on protecting the data, governance and supply chains that power them.
In this conversation, Edward You, former FBI Supervisory Special Agent and founder of EHY Consulting, explains why healthcare organizations must look beyond AI tools and focus on protecting the data, governance and supply chains that power them.
At the AHA Leadership Summit in Denver last week, three healthcare leaders and an AI platform executive offered an experience-driven look at what responsible AI adoption requires.
A new AHA Market Scan Trailblazers report, sponsored by Concord Technologies, examines how AI — with its ability to quickly recognize patterns, contextualize data and extract relevant information — can significantly streamline the processing of incoming documents and messages.
Trailblazer: Explore how hospitals can use AI to improve interoperability and streamline patient workflows without overhauling existing infrastructure.