Defense Health Agency (DHA) Legacy Program Integration (LPI) Program

Executive Summary

Cognitive Medical Systems developed two custom web applications for the Defense Health Agency (DHA) Legacy Program Integration (LPI) R&D program to demonstrate modern applications that can be integrated with legacy healthcare system datasets from multiple federal system sources (CHCS, AHLTA, DHMRSi). The applications leverage the Resource Description Framework (RDF) data translation pipeline developed by the LPI team. The Cohort Identification Service (CIS) application was developed to demonstrate real-time evaluation of patient cohorts, while the Resource Capacity Simulator (RCS) application was developed to demonstrate healthcare resource capacity modeling to optimize healthcare administration performance with available physical equipment and personnel resources.

Challenges

The primary challenge for the LPI R&D program was access to electronic health data from all of the target legacy federal healthcare systems (CHCS, AHLTA, DHRMRSi). The team overcame the availability of fully representative legacy data instances by leveraging the data set models to develop and generate synthetic patient data. While the synthetic demographic and healthcare data could not be used to generate actual de-identified patient cohorts, the team was successful in demonstrating the portability of data using the RDF data translation pipeline, storage in the Mongo dataset cache, and ingestion of data to demonstrate the CIS and RCS applications.

How We Helped

The Cognitive team was one of three teams that contributed to the LPI R&D program to support the DHA effort to translate and consolidate legacy federal healthcare data for use with modern applications. The Cognitive team participated in the design and architecture of the RDF pipeline and Mongo dataset cache and focused on the integration of the data with the two modern applications developed by the Cognitive team. The Cognitive team developed the CIS application to demonstrate real-time evaluation of patient cohorts and the RCS application to demonstrate the optimization of healthcare resources including physical equipment and personnel. The Cognitive team successfully completed and delivered both applications to the DHA along with supporting documentation.

Outcome

The success of the DHA LPI R&D program demonstrated the ability to translate and consolidate patient data sets from legacy federal healthcare systems and apply modern web based applications to identify specific patient cohorts and optimize healthcare delivery for those cohorts as one case study. While the program was funded as an early stage R&D effort, it provided a tangible model for the transformation and consolidation of patient data sets from multiple legacy federal systems for modern healthcare use cases.