The results at 12 months suggest a beneficial role for an AI-enabled bundled system of sensors and coaching as a nonpharmacological intervention, given that it facilitated the attainment of a hemog ...

Heart failure (HF) imposes a substantial health care and economic burden in the United States. The Bundled Payments for Care Improvement — Advanced (BPCI-A) program, launched in October 2018, aims to ...

There is a growing interest for health care delivery organizations to focus more heavily on managing the health of populations, which can be a transition for organizations that traditionally ...

A reimagined model developed at a Montreal health and social services center uses the Team of Teams framework to empower staff to identify and resolve patient flow blockages through a central comma ...

This issue of NEJM Catalyst Innovations in Care Delivery includes articles, case studies, and research on preoperative workflow, type 2 diabetes control, wearable health technologies, patient flow, ...

Edwina Bhaskaran, MHA, MSN, RN, Mayo Clinic’s inaugural Chief Clinical Systems and Informatics Officer, discusses strategies for accelerating the adoption of health care IT innovations that improve ...

Cedars-Sinai Medical Center sought to learn from the national shortage of intravenous (IV) fluid created by a natural disaster. IV fluid therapy should be tailored to patient needs, and giving all ...

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 ...

Key aspects of the Cedars-Sinai Community Connect Program, and its pilot program of targeted grantmaking, are the need to establish a resource and referral platform; to provide dedicated resources ...

Cataract surgery is the most commonly performed surgery worldwide. However, there is significant variation in practice both within and among countries. The European Registry of Quality Outcomes for ...

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