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.

Hospitals are working on workplace violence prevention using technology and training to mitigate risk and redesigning facilities to prioritize safety.
The House Energy and Commerce Subcommittee on Health Nov. 29 held a hearing  to explore how medical devices and hospitals are using artificial intelligence and what Congress should consider as AI in health care evolves. 
This document recommends guidelines for providers of any systems that use artificial intelligence (AI), whether those systems have been created from scratch or built on top of tools and services provided by others. Implementing these guidelines will help providers build AI systems that function as…
President Biden October 30 issued an Executive Order (EO) on the use of artificial intelligence (AI) that attempts to strike a balance between managing the risks and encouraging innovation.
The Senate Health, Education, Labor and Pensions Committee held a hearing Nov. 8 on policy consideration for artificial intelligence in health care.
Hospitals are using EHR integration, analytics, AI and robotic process automation to improve revenue cycle management and financial stability.
Researchers at Cedars-Sinai Medical Center’s Smidt Heart Institute in Los Angeles are beginning to tackle atrial fibrillation (AFib) with an algorithm they developed to detect abnormal heart rhythm in symptomless people.
Over 30 members of the House of Representatives Nov. 3 urged the Centers for Medicare & Medicaid Services to monitor and evaluate how Medicare Advantage plans use artificial intelligence and algorithms to guide their coverage decisions, and ensure these tools comply with Medicare rules and do…
At Wellstar Health System in Marietta, Georgia, palliative care practitioners have been using a virtual reality (VR) platform to simulate the most difficult conversations any clinician may have to deliver — communicating a life-altering diagnosis.