openmedical/registry
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id3c

imported

data/id3c

Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.

Machine-generated from the listed sources and not yet reviewed by a human.

id3c project image
GitHub preview card for seattleflu/id3c. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
seattleflu
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cli · data-distribution · etl · fhir · id3c · infectious-disease · plpgsql · postgres
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • fhir2omopetl · fhir

    FHIR R4 → OMOP CDM v5.4 mapping spec + ELT runtime (profile-gated, ViewDefinition-driven). 28 edges, 28 profiles, 8 ValueSets, 6.4M-concept Athena vocab loader.

  • fhirpacketl · fhir

    FHIR Python Analysis Client and Kit (FHIRPACK) is a general purpose FHIR client that simplifies the access, analysis and representation of FHIR and EHR data using PANDAS, an ETL philosophy and a…

  • ETL tool for exporting OpenEHR compositions to multiple datastore backends

  • A collection of tools for extracting FHIR resources and analytics services on top of that data.

  • tool for generating openEHR compositions from other formats

  • Created an interactive Power BI dashboard to analyze hospital visitor data, using DAX for insights into patient demographics and service usage to enhance efficiency and satisfaction. The project…

sources
  1. api.github.com/repos/seattleflu/id3c
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-12-06, 22 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["id3c"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.