Road to HIMSS: Building the foundation for data analytics

Global Marketing Leader - Healthcare, IBM

In the IBM Institute for Business Value (IBV) study Analytics: The Upside of Disruption, nearly 60 percent of surveyed healthcare organizations described themselves as exploring strategies for implementing data analytics, but only 10 percent reported using data analytics pervasively across the enterprise. The remaining 30 percent described themselves as being in the middle of implementing a data infrastructure.

Build an effective data strategy

These figures represent a significant movement toward digital ecosystems since 2014, a sign that regulatory, competitive and economic pressures are pushing businesses to do ever more with ever less. Not surprisingly, then, big data and analytics technology has been accelerating, radically changing the computing landscape. Indeed, in this study, the IBV found that more than half of organizations surveyed are implementing technologies that did not even exist in 2010—such as the Hadoop framework and cloud and stream computing.

Although embracing a data strategy can enhance medical outcomes while bettering health and cutting costs, it can also face challenges of execution. In particular, capturing actionable data can be challenging because a typical healthcare provider might operate hundreds of different systems within data silos, unable to share them across the enterprise. Thus an effective data strategy must integrate and align data from many areas, ranging from traditional sources (electronic health records, claims, laboratories, pharmacies) to nontraditional (patient portals, sensors, home monitors, personal health monitors), to capture the entire truth. Never forget—a data analytics strategy fails when clinicians cannot trust their data.

Use data as your foundation

As you begin your analytics journey, the success you can hope to achieve depends on your enterprise data warehouse (EDW), which captures, cleans and integrates your health system’s disparate data. You can accelerate this process by using the IBM Unified Data Model for Healthcare (UDMH) as a blueprint for your comprehensive data warehouse and business intelligence applications. Indeed, a suitable data model is the ideal foundation for your analytics strategy.

After you’ve laid the foundation for your success, you can embark on your healthcare analytics journey, moving from basic analysis (What is happening?) to predictive analysis (What will happen?) to prescriptive analysis (Why did it happen?) and ultimately to cognitive analysis (What is the best course of action?) in your quest to guide patient care. To learn more, connect with IBM at HIMSS16. At Booth #5932, you’ll learn more about how IBM is applying data analytics technologies to population health management and value-based care.

While you wait for HIMSS16, join the conversation online:

We look forward to seeing you in Las Vegas from 29 February to March 4.