By RaeAnn Grossman

In 2005 with a group of super-smart people, we built an ASP offering for risk adjustment. DataLink had 42 reports and our clients only used 17 of them.  Our clients asked for business intelligence reporting so they could pull reports themselves. We found they needed refreshed reports from their provider networks and their executive teams. Basically, they needed on-demand analytics and reporting.  When I saw the self-service analytics article in the Harvard Business Review, I had to read it. The article discussed analytics from the worker and manager perceptive.

From the article: “Workers at all levels today know that analytics tools can provide them with granular insights for everyday decision-making. And many of these workers—in fact, more than might be expected—are already using self-service and data-visualization tools. In a survey of 827 business managers conducted by Harvard Business Review Analytic Services, more than 80 percent of respondents say they deploy self-service analytics on the job, helping their companies move quickly toward a culture of data-driven decisions. But a significant number of these workers aren’t satisfied with the tools’ functionality and benefits. Also, while self-service and visualization tools are widely used, they’re not always used deeply across the organization.”

This is exactly what we find today, a small team of folks needing an in-depth understanding of what their care, quality, risk adjustment, and network strategies are doing and consistent adoption, participation, and ROI.

It is great fun to support health plans, MSOs, ACOs, and medical groups with an opportunity to really dig into their own data and see the progression of care, cost, risk, and quality impacts.

 

Reference: Analytics That Work: Deploying Self-Service and Data Visualization for Faster Decisions. 2016. https://hbr.tradepub.com/free/w_harc04/