Watch this on-demand webinar
In a recent HIMSS study, only three out of 10 hospitals noted they were highly effective at democratizing data. This isn’t surprising considering 54% of providers still struggle to access and integrate multiple data sources.
But healthcare isn’t immune to disruptors. In this webinar, Michigan Health & Hospital Association will share the fundamentals behind its self-service analytics strategy to unlock a black box of data around hospital-acquired conditions (HACs) and readmissions. Jim Lee, VP Data Policy & Analytics, will share how his team analyzes complex data sets to meet HIINs grant requirements for an unparalleled “data project” in partnership with three state hospital associations. The goal: Reduce HACs by 20 percent and readmissions by 12 percent.
Discover the team’s best practices and how they are using self-service analytics to:
- Unify, process, and analyze over one million records from 300 hospitals monthly
- Schedule analytic workflows to run automatically
- Democratize data and operationalize analytics at scale
- Reduce reporting process cycles from 2 weeks to 3 days
Director of Solutions Marketing
VP Data Policy and Analytics
Michigan Health & Hospital Association
“We were … pushing the data team to their limits because of the amount of complexity … of having the wrong tool. We were quickly coming to the risk of turning through more employees, which would have made this [analytics] process even worse.”
— "Scaling Analytic Success in Health & Hospital Associations," Jim Lee, VP Data Policy & Analytics, Michigan Health & Hospital Assocation