Enabling Data-Driven Decision-Making
12/11/17 | Maximize Quality
This year, our Information Management team partnered with the newly formed Enterprise Analytics team and key data owners throughout the organization to continue to move us toward our goal to “Enable data-driven decision-making using high quality, transparent, and best-in-class processes and tools.”
Key initiatives include:
- Major enhancements to our current Cognos Business Intelligence (BI) platform
- A pilot to assess the value of Tableau as a more agile BI tool; enhancements to the data and scalable models available in our central data warehouse
- Engagements to drive analyst value in our HealtheIntent Population Health big data platform, especially in the clinical space
- The establishment of a Business and Clinical Intelligence Guidance Community
Because our goal is to enable others with data, our success is often most on display through the success of others.
For example, this year, we built scalable data models to support MU Health Care’s first movement into alternative payment models of CMS bundles.
Leveraging the powerful clinical data in the HealtheIntent platform, we are providing analytics to support a sepsis value creation project to lower observed/expected mortality and length of stay. Similar efforts are underway to support the reduction of readmissions.
Our performance portal supports Operating Review cycles with additional scorecards, valuable drill and navigation paths, and links to additional on-demand dashboards.
Finally, our patient engagement BI capabilities improve through:
- Inclusion of enhanced survey information
- Growth of key performance indicators
- Development of on-demand dashboards and ad hoc capabilities in our new Cognos 10 BI tool
Engaging On High-Priority Projects
The Process Improvement – Leadership Development Program (PI-LDP) team projects and participants are selected by MU Health Care’s senior leaders. Each project has an executive sponsor and two advisors.
Every PI-LDP initiative now has an embedded Tiger Institute associate as nearly every significant quality, safety or value related problem needs IT expertise.
Tiger Institute staff members develop a deeper understanding of how their clinical colleagues identify, analyze, and solve problems. They learn about clinically meaningful outcome metrics and how best to provide feedback to their clinical counterparts.
Clinical and nonclinical team members learn how integrating the data capture and information generation capabilities improves care.
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