Artificial Intelligence (AI)
黑料正能量 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 Center for Health Innovation released a new report to guide hospital and health system executives on using artificial intelligence and AI-powered technologies to transform their organizations鈥 operations.
The AHA鈥檚 recently released 鈥淏uilding and Implementing an Artificial Intelligence Action Plan for Health Care鈥 provides a playbook for allocating resources that prioritize patient access, revenue cycle management and operational throughput.
The Department of Health and Human Services has released its Strategic Plan for the Use of Artificial Intelligence in Health, Human Services, and Public Health, a guide that seeks to clarify regulatory oversight, coverage and payment determinator processes for AI as well as refine existing鈥
A team at Vanderbilt University Medical Center is setting out on a two-year project that aims to make AI chatbots more effective 鈥 and more empathetic 鈥 when part of behavioral health care treatment.
The Food and Drug Administration issued draft guidance Jan. 6 on marketing submissions and lifecycle management for artificial intelligence-enabled devices.
Thanks for listening to the Advancing Health podcast 鈥 we hope you have found it engaging and informative! As we wrap up 2024, we鈥檙e sharing highlights from two of our most popular episodes of the year.
The AHA Environmental Scan contains data, surveys, trends, thought leadership and educational resources, illustrating some of the top issues facing the field, including workforce, financial stability, care delivery transformation and greater value. This scan can help leaders plan for the future of鈥
Artificial intelligence (AI) has been widely used in the health care field for decades. Hospitals and health systems, for example, have developed or used AI tools to help increase the quality and efficiency
of care, including supporting clinicians in determining diagnoses, prognoses and specific鈥
Optimizing hospital鈥檚 revenue cycle for efficient, patient-centered operations and
enhancing critical KPIs using AI and robotic process automation.
The Food and Drug Administration yesterday released recommendations for streamlining the approval process for medical devices that use artificial intelligence. The guidance recommends information to include in a predetermined change control plan as part of a marketing submission for a medical鈥