By using predictive analytics, providers can use real-time data to see risk factors that previously went undetected. Armed with this information, healthcare systems can then intervene and hopefully change the course of the patient's future health.
From retrospective to predictive to prescriptive analytics, healthcare organizations are embarking on analytics journeys to enhance medical outcomes and create cost efficiencies. Where are you on your healthcare analytics journey?
Learn how the UNC Health Care System developed an advanced care insights solution to convert unstructured data into useful alerts and reports designed to help physicians and patient care managers enhance patient care while cutting readmission rates.
Sharath Cholleti, computer scientist at Emory University, declares that IBM and big data can play a big role to move the healthcare industry forward. Cholleti says the key is “the ability to execute lots of algorithms that can provide value to the patients and help clinicians take care of...
We have a lot of data today, both structured and unstructured, that, when used on time, at the right time, in real-time can save lives. Sharath Cholleti, this week's Big Data and Analytics Hero, gives us a glimpse of how they use data for better patient care.
Using a powerful big data platform from IBM, Vanderbilt University School of Medicine clinicians cut research timelines from nearly a year to only a few weeks to help accelerate the pace of discovery and, ultimately, improve patient health.
I’ve noticed an interesting pattern with some of our healthcare customers. First, they tell us that they are either struggling or taking too long to answer the basic questions, be it for metrics, or regulatory reports, or basic running of the hospital. Then, they start their big data and analytics