H-Digest

Engine for ingesting and structuring heterogeneous data

It structures and standardizes data from legacy documents and systems to interoperate with H-Sync or a data lake.

H-Digest

Engine for ingesting and structuring heterogeneous data

It structures and standardizes data from legacy documents and systems to interoperate with H-Sync or a data lake.

Intelligent multi-source extraction

Module that transforms raw data sources into structured data with evidence of origin through OCR, entity extraction and normalization; summation, deduplication, scoring and assisted review, maintaining complete traceability.

Towards order in the chaos of the sources

Semantic structuring ready to integrate and operate.

OCR and structured parsing
Semantic normalization
and mapping
Trust scoring
and assisted review
Outputs and pushes
to H-Sync or data lake
Entity
extraction
Simple deduplication
and inconsistencies
Traceability
and evidence
Securit
by design

→

←

From raw data to usable data

Usable data with evidence

Generates traceable datasets “anchored” to the source document, suitable for auditing.

Less rework, more speed

KPIs: reliable extraction rate and rework reduction; results in 90 days.

Accelerated interoperability

Feed H-Sync with pre-structured data to unify identity and expose APIs.

Flexibility and low friction

It works even without a standardized EHR; it ingests multiple legacy formats and systems.

Control and governance from the outset

Initial catalog, access controls, and retention policies for legitimate data use.

From chaos to frictionless data order

More information