Dimensional Model facilitates care gap in Analysis for Healthcare Payer
A growing healthcare payer organization is suffering from lagging data processing times and limited views of data that is adversely affecting the organizations HEDIS program.
By designing and incorporating a sophisticated dimensional model, the organization would improve their overall HEDIS reporting resulting in increased analytical ability and increased scores, which are associated with millions of dollars in reimbursements.
Effective communication with the organization’s business segments to answer specific questions regarding processes, use cases, data structure, and organizational needs allowed for the successful redesign of the data model which prioritized the consolidation of disparate data hubs into a central repository resulting in improved processing speeds and enhanced data visualization capabilities. We were also able to create dimensional models for specific HEDIS data that had never been exposed such as NCQA Benchmarking Data, CMS Stars Ratings, and RxAnte while continuing to provide product owners with their specific visions and requirements. This sophisticated redesign was also able to remove Run ID protocol allowing for longitudinal HEDIS reporting. As a result of our data solutions, the payer organization was able to produce consolidated dashboards and efficiently identify gaps in care, delineate areas for targeted outreach, and detect opportunities for provider billing education. These dashboards were also able to track the direct impact of outreach and provider education campaigns over time to determine the most effective approach.