Today let’s take a look at a healthcare analytics use case from IBM involving automated reporting and optimized analytics operations for athenahealth.
Paula Williams from IBM’s Big Data Hub explains the challenge companies face with healthcare analytics. “New government rules and regulations—such as the Health Insurance Portability and Accountability Act (HIPAA), Medicare and Medicaid, The Affordable Care Act, and so on—continually affect healthcare organizations. The ability to respond to these legislative mandates requires much agility. For organizations such as athenahealth, having an information technology infrastructure that is flexible enough to accommodate growth while allowing it to address healthcare industry market changes is a must.”
Athenahealth provides cloud based services to doctors, providers and large hospitals across the country. As they grew their healthcare analytics solution started to fall short and analysts were finding themselves spending more time gathering the data rather than analyzing it. Business leaders also found themselves with little opportunity to get at the data themselves creating a bottle neck within the analytics team. Sound familiar? This is a common occurrence at any-sized business but given the volume of healthcare data and sources, finding a solution to automate can be a game changer to how you serve your customers.
Athenahealth came to IBM looking for a solution that allowed them to provide the same level of healthcare analytics and back-end support to each of their customers, no matter the size. Not only did they want to save time but they also wanted to empower business leaders by providing self-service options. Since implementation they have gained efficiency and improved access for business leaders. Some processes have gone from days to minutes and analysts are seeing a real gain in the time they now have to analyze the data to better serve their customers.
What pain points is your company facing as its data and sources of data continue to grow?