Optimizing Data Acquisition Strategy for Healthcare

This report details a case study of a healthcare customer facing challenges in optimizing their data acquisition strategy. The customer was purchasing large datasets without clear understanding of the value each source provided, leading to inefficiencies such as redundant data purchases. The inability to analyze data at the encounter level hindered informed decision-making regarding data source value and redundancy elimination. Kythera Labs implemented a solution that involved cleansing, curating, and staging the customer's claims, EHR, and lab data. This foundational work improved data quality and enabled a clearer understanding of the contributions from each source. The report outlines how the Source Assessment solution was deployed, revealing insights such as the limited utility of Source 4 and the potential exclusion of Source 5, while emphasizing the need for specific improvements. The case study concludes with the value proposition of Kythera's approach in enhancing data strategies and achieving cost savings.