Continued innovations in healthcare require a heightened focus on patient safety. Novel treatments, technologies, and care models promise to improve patient outcomes but can also introduce new patient ...

The role of technology in prioritizing patient safety is becoming increasingly apparent. Research is emerging around the capability of machine learning (ML) to potentially reduce medical alert fatigue ...

In today’s fast-paced healthcare environment, nurses face constant decisions on what to address first. Using structured prioritization frameworks helps them balance patient safety, acuity, and ...

Each monthly installment examines an aspect of multiple myeloma care, including delivering the diagnosis, building trust, ...

Ever wonder if the latest and greatest artificial intelligence (AI) tool you read about in the morning paper is going to save your life? A new study published in JAMA led by John W. Ayers, Ph.D., of ...

Masimo Corporation MASI and Cleveland Clinic, a nonprofit academic medical center, recently announced their strategic collaboration to improve the standard of patient care while utilizing ...

Community-acquired pneumonia (CAP) remains a substantial global health challenge. In the UK alone, more than 200 000 hospital admissions occur annually, with a substantially larger volume of cases ...

Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study The majority of patients with cancer receive ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. A study showed moderate agreement between GPT-4 and ...