Multi-format patient data ingestion solution on AWS Healthlake

Healthcare organizations are constantly trying to ensure they have a comprehensive view of all of their patients/members. By doing so, they are able to offer the best possible care proactively. However, this means that they need to be able to convert, ingest and analyze structured and unstructured data across multiple formats (HL7, CCDA, EDI, QRDA, RDBMS) about their patient/member.

CitiusTech's solution provides an open, FHIR standards-based platform that can convert, transform and standardize patient records from multiple sources into one comprehensive record for ingestion into AWS Healthlake.

Ingestion solution Advantages:

• Data convertors: CitiusTech has a collection of data convertors that help reduce time / effort required to build multi-format data pipeline.

• FHIR Data Transformation: Seamlessly acquire, convert, reconcile & normalize patient data across EHR, Pharmacy, Payer & Labs.

• Enterprise master patient index: This helps ensure accurate consolidation of individual patient records into one longitudinal record.

As part of our solution, we leverage AWS Healthlake, Sagemaker & QuickSight to enable:

• Insight extraction: The built-in Natural Language Processing (NLP) can extract insights from unstructured data like clinical notes, procedures and diagnosis.

• Upstream & Downstream integration: FHIR data exchange can be enabled with other applications within the ecosystem for eg. patient mobile app.

• Analysis and predictions: ML models that can help identifying trends and making predictions.