The healthcare industry generates enormously large amounts of data: on patients; on medical conditions; generated from clinical care, provider notes, existing medical knowledge and research studies. But, until recently, healthcare providers had been unable to fully harness its true potential. With predictive analytics, all that is changing.
As more and more organizations take interest and action in utilizing analytics to their benefit, the industry that has the potential to benefit the most is healthcare. Recently a pilot program at Roanoke, Virginia-based Carilion Clinic in partnership with IBM and Epic utilized Big Data to create a predictive model that could help identify patients at risk of developing congestive heart failure within the next year with 85% accuracy. The potential results of applying such a model are significant: preventive care for at-risk patients, better patient outcomes and ultimately lower costs for the health system as a result of preventable visits to the ER. In healthcare these days, that’s big stuff.
The biggest questions healthcare providers have, though, are: “How do we integrate siloed data sources?” “How do we afford it?” Getting a handle on all that disparate information can seem like an uphill battle, but a number of software tools available today can actually be very effective as well as economical. In turn, predictive analytics may help turn reactive care into preventive care.
To learn more about the potential healthcare gains through leveraging predictive analytics, check out this CDW blog post.