H-Scale is built on Apache Hadoop ecosystem components and is designed to be healthcare data aware. It allows highly configurable ingestion of data from a variety of source systems such as EHRs, PACS, PMS, biometric devices, mobile apps, social media etc. using industry standard transport mechanisms (e.g. REST, MLLP, XDS, DICOM, etc.)
The ingested data is stored in a secure data healthcare lake built on standard Hadoop ecosystem components such as HDFS and HBase. Once ingested, the data can be processed and persisted after enrichment. Standard healthcare data models based upon the HL7 V3 RIM, such as FHIR are used as guidelines to define data persistence. The data can further be reconciled against other data elements already present so that valuable business entities can be created for analytics purposes. Proper attribution, lineage and provenance are maintained to enable data governance.
The SaaS delivery model of H-Scale allows healthcare organizations - health systems, health plans, life science companies, and medical technology companies - to quickly ramp up their big data processing and analytics capabilities in a HIPAA-compliant manner. H-Scale provides core capabilities to parse, store, manage and query massive healthcare datasets, enabling organizations to focus their effort on building their bespoke big data solutions.