The health system operated in a highly fragmented data environment, with 47 EHR systems generating siloed and inconsistent data. This lack of integration made it difficult to derive meaningful insights for population health and quality reporting.

Data latency was a major concern, with analytics workflows taking up to 72 hours to process, limiting the ability to make timely clinical and operational decisions.

The organization also faced challenges in managing complex value-based care metrics such as MIPS, HCC, and RAF scoring due to inconsistent and incomplete data pipelines.

Additionally, integrating diverse data sources—including claims, IoMT, and SDOH—was not feasible with the existing infrastructure, restricting the organization’s ability to achieve a comprehensive patient view.

The client needed a unified, scalable data platform to enable real-time analytics, improve data quality, and support advanced healthcare reporting requirements.