How can a simple, systemwide framework empower 20,000 frontline staff and leaders across Scripps Health to boost retention, ...

Some common medical services vary greatly in cost depending on the facility or specialist. This study examines ways to incentivize physicians to refer to sites that offer lower cost and equivalent or ...

One year after the deployment of ambient artificial intelligence scribes, The Permanente Medical Group in northern California reports rapid growth in physician usage, highly positive experiences am ...

Standing on FURM Ground: A Framework for Evaluating Fair, Useful, and Reliable AI Models in Health Care Systems ...

The Covid-19 pandemic offers an opportunity to rethink the role of emergency departments and emergency physicians, and to create new care options that remove traditional barriers to effective ...

A simple change model, reliably implemented, has led to substantive change in the management of complex, intractable health care problems at one of the largest U.S. health systems.

This new typology of primary care delivery in the United States serves to define subgroups in which the constituent organizations have similar characteristics, and how they may vary from other ...

Home and community care is poised to grow. Restoring these services requires a range of capabilities and risk-based payment.

WellSpan Health, an integrated system of eight hospitals and more than 170 outpatient locations, adopted a systemwide approach to implement team-based advance care planning (ACP) processes and during ...

The Covid-19 outbreak has created some quick, short-term opportunities for providers and patients to embrace telemedicine. And while the coronavirus-related exposure to and experience with this health ...

Over 5 years, an initiative by leaders at Atrius Health has contributed to a reduction of messages, and it reflects and builds on their team-based care model for adult primary care.

Health care needs to “own” its valuable data by investing in appropriate internal analytics functions — or risk ceding these data and their insights to outsiders.