The customer is a health system in the US and has clinics and hospitals in its network.
The customer had siloed data from multiple sources and come in different formats such as flat files, HL7, CCDs, EMR databases, and different payer systems.
The customer was using spreadsheets and SQL for creating monthly and annual reports used for quality metrics from this data. Also, there was non-uniformity (unstructured) and inconsistency in the data sets, the entire data integration process was manual and prone to human error and led to inconsistent reporting.
Understanding customer requirements for data integration and reporting that needs to be done on a monthly and yearly basis.
Microservices architecture-based approach to segregate different applications and components for scalability and performance.
Transformation and Integration of different Clinical, ADT, Labs, and Payers data into a relational database such as snowflake on the cloud.
Automated the various and inbound(data that is input to the customer system) and outbound files(output data to the different systems for care reporting, quality metrics reporting )
create a web-based platform to show patient records, add self-serve user management(as per user personas), and access control for security and compliance Single sign-on implementation by integration with customers' active directory
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