AHA Center for Health Innovation

A new AHA Leadership Scan episode will examine how one AI-powered system was developed from 10 million images of patients’ hearts gathered over a 15-year period from more than 40,000 patients in landmark, multicenter clinical trials.
How to plan, execute and accelerate redesigned health care dominated discussions at the recent AHA Leadership Summit in Seattle, as hospital and health system leaders, retail care providers, innovators and entrepreneurs came together to assess what’s next for the field.
Interest among investors and health care leaders continues to rise in artificial intelligence (AI). Clinical support areas and diagnostic imaging continue to be the most promising applications of AI, but more novel uses of the technology for automating documentation are drawing interest.
This webinar shares data surrounding the mental health crisis among caregivers, including statistics on suicide. Dr. Sanne Henninger sheds light on the signs and symptoms evidenced by staff in need of mental health support as well as shares strategies for equipping both leaders and fellow staff in…
With nowhere else to go, individuals in need of behavioral health care are increasingly turning to hospitals for help. The surge in demand has overwhelmed resources at even the best staffed hospitals. A well-designed behavioral health strategy should consider the full continuum of care, including…
General Catalyst (GC) increasingly has become focused on engaging and supporting startups and bringing together transformation-minded health care systems to reduce friction, inefficiency and cost while accelerating innovation, said Daryl Tol at the recent AHA Leadership Summit.
In the Aug. 29 AHA Leadership Scan episode, “Adopt Proven Strategies to Navigate Today’s Nursing Workforce,” experts will examine the playbooks of top-performing health systems.
Six health care startups shared their approaches to addressing complex challenges in areas like improving access to high-quality mental health, delivering clinical risk intelligence for hospitals and leveraging enterprise time-study data to optimize caregivers’ performance.