Observed arrival · 2026-08-28
ehidome, the clinical NLP toolkit that keeps its distance from the cloud
An on-device system that turns medical notes into structured entities, de-identified records, and FHIR resources.
Field notes
The homepage presents a pipeline for converting clinical free text into entities, de-identified records, and FHIR R4 resources, with examples covering medications, diagnoses, dosage, and frequency. It names both terminology targets—including ICD-10, SNOMED CT, LOINC, RxNorm, UMLS, and CMS-HCC—and deployment paths ranging from Python CPU/CUDA to Apple MLX, Android ONNX Runtime, WebGPU, and REST. The claims are presented as product capabilities; the page does not show implementation documentation or licensing details.
Observed signals
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Editorial observations of this landing page, not a rating.
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