As robots enter hospitals and care facilities, questions remain about whether they actually make care easier for the people ...

Abstract: Tuning Model Predictive Control (MPC) cost weights for multiple, competing objectives is labor-intensive. Derivative-free automated methods, such as Bayesian Optimization, reduce manual ...

How Mayo Clinic Health System is transforming care for largely rural communities while reshaping culture, workforce, and ...

aSchool of Public Health, Peking University Health Science Center, Beijing, China bCenter for Healthy Aging Transdisciplinary Sciences, China Center for Health Development Studies, Peking University, ...

The Trump administration is testing out a new 10-year program for value-based chronic condition management that leans heavily ...

Abstract: This article introduces a novel approach that combines a multimodel technique with model-free adaptive control (MFAC) to address the limitations of the full-form dynamic linearization (FFDL) ...

Introduction Dementia imposes significant care and financial burdens on families and countries globally. While high-quality home-based care is crucial, the current supply chain of care—relying on ...

Temporary teams can build new systems, but permanent ones can both develop them and manage them after launch. by Ryan Nelson and Thomas H. Davenport In 2011, The New York Times was facing declines in ...

Background: Sepsis is a complex, life-threatening condition characterized by significant heterogeneity and vast amounts of unstructured data, posing substantial challenges for traditional knowledge ...

Value-based care has long been championed for its potential to align clinical outcomes with financial incentives, but many health systems struggle to implement truly transformative models.

Value-based care has started to emerge as a viable competitor to the traditional fee-for-service model that has dominated the industry, providing alternatives for physicians and patients. Leawood, Kan ...