Healthcare is replete with big data analytics use cases that offer measurable results, including reduced hospital readmissions, better medication management, improved strategic planning and heightened fraud detection.
That's all well and good, but for one key factor: How do you start? Most healthcare data remains unstructured, proprietary and siloed — and creating a clinical data warehouse is a complex task that time-crunched healthcare CIOs can't always justify.
Fortunately, there are lessons to be learned from healthcare's big data implementations. Here's some advice from providers who have been there, done that and lived to tell the tale.