The Problem
Many healthcare practices discovered that existing solutions, oriented around legacy EHRs analytics, increase fragmentation without supporting improved care coordination around the most vulnerable patients. The client recognized this as a new opportunity and wanted to launch the first end-to-end solution for value-based care to help practices focus on quality of care, risk stratifications and provide near real-time visibility into practice performance by utilizing patient data analytics.
The Approach
We helped our client develop a cloud-based data exchange hub with automated ETL processes to on board new hospitals and providers faster, while ensuring high standards of security for patient data as per HIPAA compliance. There were two parts to this solution: 1) ETLs for clinical and financial data from disparate sources; 2) build a new provider-facing web application with easy to understand, self-service data analytics. Our technical team designed the data hub in the AWS cloud by consuming clinical, claims and financial data in raw format and executing master data management (MDM) with Master Patient Index (MPI) logic for reconciling patient data from various sources. Using an ETL process on the data, we developed datamarts as the source to generate custom interactive dashboards. The dashboards have drill-down capabilities to view individual patient data to enable detailed analysis on practice utilization, performance, and patient risk. We developed data cubes to provide self-service reporting capabilities for practices to generate quality benchmarking and regulatory reports. To enable rapid product development, agile with SCRUM framework with CI/CD, was used.
The Results
The client launched their new end-to-end advanced population health solution ahead of its competition, providing their client practices critical clinical and financial insights, and one-click registry regulatory reporting. Overall, our system provided our client the ability to gain critical insight through our self-service analytics tool and ultimately improve the quality and cost of care.