Monthly Archives: March 2019

Mar 7

Advancements in Analytics

3/7/19 | Connecting Missouri

Advancements in Analytics

MU Health Care and the Tiger Institute are committed to ensuring value-driven outcomes for our patients through the collaborative delivery of intuitive and prescriptive information, which enables agile, data-driven decisions by clinical and operational leaders.

Over the last year, analytics leaders from various business and clinical domains have come together to create a strong, inclusive governance structure; develop the roadmap for the future; and provide advanced analytics to support the university’s strategic goals.

Using a centralized strategy with decentralized teams, we have a single point of intake for the organization’s analytics requests. By working together in this way, we can reduce confusion for end-users, eliminate redundancy and inefficiency, and create transparency across the organization. This methodology also will help us better understand and meet our broad analytics needs.

Key components of our prioritized roadmap to support value-based outcomes include:

  • Enhancement of existing enterprise data warehouse (EDW) capabilities
  • Development of an analytics hub
  • Establishment of strategic communication points

Taken together, these steps will help us ensure our analytics strategy aligns with the needs of various business and operational leaders.

Our EDW roadmap builds on existing Tiger Institute-developed EDW/Business Intelligence (BI) capabilities, which have historically focused on the Revenue Cycle space.

We have made remarkable progress since launching our Value Driven Outcomes and Analytics structure in January,” said Kristin Hahn-Cover, MD, chief quality officer. “This leadership team rapidly articulated our desired future state, with deep insights into the information, collaboration, and support needed to get us there.

In particular, the HealtheIntent population health platform has enabled us to develop clinical and claims-based EDW capabilities for the first time. Our plan is to create a true EDW by moving all data into a single repository.

We are also planning for one centralized analytics hub for finding and serving analytics deliverables. This hub will allow us to improve efficiencies and transfer knowledge throughout the organization.

Building on this work, we designed and built a new series of cardiovascular service line insights. Through our collaboration and our scalable EDW and BI capabilities, we can expand these insights to all clinical service lines to create cohesive, directional information for decision making support throughout MU Health Care.