Quality and Safety
Cut length of stay? Slash readmissions? Boost value-based care? Keep nurses from leaving? Power chronic care management? A physician digital transformation consultant explains how transforming can achieve all of this and more.
AI & ML Intelligence
An AI chatbot is helping clinicians explain how artificial intelligence models, fueled by evidence-based healthcare data, can speed research advancements and improve patient access.
The safety nonprofit says artificial intelligence models that aren't properly evaluated and deployed are a big concern for 2025. Others include home health technology and hospital infusion system vulnerabilities.
AI & ML Intelligence
To hold this hot new position, executives must have a very diverse set of skills. They must encompass clinical and artificial intelligence, though there need not be a balance, says UC San Diego Health Chief Health AI Officer Dr. Karandeep Singh.
The Revenue Cycle Management Technology Adoption Model from HFMA and FinThrive generates insights and optimizes technology investments. Kim Waters, an RCM consultant at CereCore, offers a comprehensive look at the tool.
The hospital is the first in Indonesia to adopt an automated EWS system.
Heather Costa, Mayo Clinic's director of technology resilience, says that "we can never mitigate risk to zero and still have the business be operational."
Eric Jimenez of New Mexico's Artesia General Hospital also discusses the value of optimizing current systems over rip and replace and facilitating social determinants of health data capture.
The new deep-learning model outperforms biomedical-imaging analysis in understanding disease progression, pediatrics researchers at Children's Hospital of Philadelphia say.
A pilot validation study found that the AI helped hasten case reviews and data analysis and determine the necessity of antibiotic use.