Improving outcomes and reducing costs. That is the value that hospitals and health systems across the country strive to deliver to their patients and their communities each and every day. However, to do that in today’s health care environment can be challenging for hospitals of all sizes and types.
Many hospitals and health systems increasingly are considering new technologies powered by artificial intelligence (AI) and machine learning (ML) to help them meet that challenge. Advocates say AI technologies can improve outcomes and lower costs at each stage of the care cycle from prevention to treatment.
But, to realize this promise, hospital and health system leaders need to build a powerful clinical AI infrastructure of people, policies, resources and technology. They also need to overcome the barriers of clinician concerns about AI and consumer hesitancy about AI applications in health care.
Learn how health care organizations are using AI as a clinical decision support tool and how they are successfully integrating AI-powered technologies into their care delivery operations to improve outcomes and lower costs. Read the full report from the AHA Center for Health Innovation, “AI and Care Delivery.”