For a large Hospital Group hoping to reduce readmission rates by 3% annually, predictive analytics is helping doctors pinpoint patients with high readmission risk. Hospital staff then administer ...

Hospital readmission poses a significant challenge to healthcare systems globally, with implications for quality of care and resource allocation. Recent advances in data analytics and machine learning ...

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

Sylvester Tafirenyika, an AI and machine-learning engineer, is focused on building tools designed to improve health care ...

Diabetes-related hospital readmissions represent a significant challenge in contemporary healthcare, imposing substantial economic burdens and impacting patient quality of life on a global scale.

For more than a decade, hospitals have worked to help older adults avoid repeated inpatient stays, incentivized by a federal ...

No one wants to be admitted or readmitted to the hospital. For skilled nursing facilities, preventing these readmissions is a top priority, not only for the well-being of residents but also for the ...

We used the 2012-2020 American College of Surgeons' National Surgical Quality Improvement Program Participant Use File and Targeted Colectomy File. Patients were categorized into four race ...

What if your physician could foresee your health challenges before they escalated into serious issues? It may sound like a concept from a futuristic film, but we are inching closer to that reality ...

“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...

Predictive analytics and data analysis are becoming more common in medical practices as a way to improve outcomes and predict risk. A study conducted by Atlanta-based health IT company Jvion found ...