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.
The AHA today submitted a letter to the Office of Science and Technology Policy in response to its request for information on regulatory reform for artificial intelligence, emphasizing the need to reduce regulatory burdens that hinder innovation and increase costs, while ensuring patient safety and…
The American Hospital Association (AHA) provides comments on the Office of Science and Technology Policy (OSTP) request for information regarding regulatory reform on artificial intelligence (AI).
The AHA Oct. 23 recommended changes to the Centers for Medicare & Medicaid Services’ Wasteful and Inappropriate Services Reduction model to address multiple concerns.
A recent CB Insights report, “AI in Clinical Development: Scouting Reports,” provides overviews on more than 70 companies targeting clinical development workflows.
Cleveland Clinic is forming a strategic partnership with Silicon Valley health tech investor Khosla Ventures that will further the health system’s aims in funding tech startups and creating partnerships to advance care.
Comments are due Oct. 27 to the Office of Science and Technology Policy on federal regulations that hinder AI development, deployment or adoption.
An AHA blog published today shares how HCA Healthcare in Nashville, Tenn., has been leveraging artificial intelligence to reduce risk and improve health outcomes. READ MORE
Cross-industry insights and new technology are helping HCA Healthcare reduce risk, improve outcomes and lead the future of high-reliability care
Drive workforce transformation with AI, flexible models and strategic workforce planning for sustainable, high-quality health care.
The recent news that Qualtrics was buying Press Ganey Forsta for $6.75 billion has been seen as a landmark event in the use of artificial intelligence (AI) platforms to streamline patient feedback data analytics so they can be leveraged in real time to improve services.