Data in healthcare is a complex asset, one that could yield myriad benefits if properly wrangled. As the market shifts from fee-for-service to value-based care, reliable data that yields actionable information concerning quality, patient safety, costs, efficiency and more is critical to business and patient outcomes.
A proper data governance program can enable healthcare companies to implement clinical analytics that allow professionals to use real-time data to make decisions about patient care, predict staffing needs, influence population health, identify areas to cut down on costs without compromising outcomes, and more.
Meaningful Use mandates were put in place to spur on the collection and sharing of data using electronic health records (EHRs), then using that information to advance clinical processes, and finally to improve outcomes.
The regulations along with the advance of healthcare technology has resulted in the collection of a vast amount of data that requires careful curating and a clear governance plan. EHRs can contain an overwhelming amount of information that comes from many different sources, some of which are unstructured reports that can be difficult to mine.
Earlier this year, CMS Acting Administrator Andy Slavitt commented on the future of the Meaningful Use program, indicating that it will be replaced over the course of the year. One of the drivers behind this change is the goal of focusing more fully on patient outcomes than on utilization.
Interoperability will continue to be front and center when the new program details are rolled out later this year. The opportunity for mining data will continue to expand, providing healthcare companies with greater opportunities to improve both patient and population health.
Data In Action
At Geisinger Health System in Danville, Pa., Gregory Moore, M.D., Ph.D., neuroradiologist and chief emerging technology and informatics officer, created the AAA Close the Loop Program to retrospectively review radiology reports to identify patients with abdominal aortic aneurysm (AAA) that he suspected were not receiving the follow-up care they needed. When radiologists transferred reports into the physician’s EHRs, the potential existed for the flag to follow-up to be missed or it wasn’t digitally actionable.
Through the program, Geisinger used EHR and scheduling data to target potential patients for outreach. In its first year, the program reviewed 2 million reports to identify AAA cases and rank patients by clinical risk of serious complications. Prompted by the review, 3,400 patients were contacted for follow-up; 134 patients were identified for ongoing monitoring; and twelve patients received life-saving surgery to repair AAA.
Data Governance Requires the Right Tools
emids’ newest data governance solution, apex, is a fully configurable cloud-based data management solution designed especially for Enterprise Providers, Payers, ACOs and Care & Wellness Management organizations.
Customers can select any custom analytics platform for integrating into this framework. The solution can be plugged into the customers existing data management infrastructure via the solution’s interfaces.