predictive modeling

Latest Headlines

Latest Headlines

How big data could apply the Netflix model to preventive healthcare

A predictive model similar to Netflix has the potential to improve preventive care, according to  The Washington Post.

Model predicts hospital patients' one-year mortality risk

A tool enables clinicians to assess hospital patients' risk of death within a year of admission, according to a study published in the Canadian Medical Association Journal.

Another reason to use Twitter: Tweets can predict emergency room visits

Twitter users who post personal health-related information online may help hospitals predict how many emergency room visits they can expect on a given day, according to new research from the University of Arizona.

Payers need predictive analytics to better manage risk

In today's post-Affordable Care Act  business-to-consumer insurance market, payers will sink or swim based on their ability to adopt analytics, according to  LifeHealthPro.

Maine pilot uses statewide EHR data to ID high-risk patients

Maine is piloting a project to use predictive modeling software to comb through nearly all of the state residents' electronic health records to determine which patients are most at risk of visiting the emergency room, being admitted to the hospital, suffering a stroke or heart attack or developing type 2 diabetes.

Predictive analytics catch fraudulent claims

Using predictive modeling to fight fraud, the Massachusetts insurance exchange recouped $2 million in six months and avoided paying hundreds of thousands of dollars inappropriately, according to technology research and assessment firm GCN.

EHRs help ID, evaluate progression of multiple sclerosis

Text-mining the data in electronic health records can help identify patients with multiple sclerosis (MS) and track the key clinical traits in the course of their disease, according to a new study in the  Journal of the American Medical Informatics Association (JAMIA).

Models can help hospitals target patients at risk for readmissions

With the advent of healthcare reform, it's more important than ever for healthcare providers to identify and target high-risk patients to prevent readmissions. The problem is determining which model best predicts those patients.

How predictive modeling can prevent triple aim failures

Using predictive modeling to classify patient populations based on individual risk and anticipated response to an intervention can help hospitals achieve the much-touted triple aim goals, concludes a Walgreens study published this week in Health Affairs.

Predictive tool pinpoints heart patient readmissions

Utah's Intermountain Medical Center developed a computerized algorithm to identify heart attack patients at risk for readmissions, presented at the American Heart Association Scientific Sessions 2012 in Los Angeles.