Health information systems · DHIS2 · interoperability

Khalilur Rahman Ridoy Khan

Seven real projects across native DHIS2 apps, DHIS2–FHIR interoperability, and applied statistical outbreak detection — each built from a real gap, a real published method, or a real reported bug, and live-verified against real instances and real data, not demos.

github.com/khalilurrrahmanridoykhan LinkedIn krrkhan.com

Real projects

7

Technical write-ups

3

Synthetic demos

0

Live-verified

All

Projects

Native DHIS2 apps, interoperability, and applied analysis

Every one built end to end: real API mechanics confirmed live before shipping, real test suites, real bugs found and fixed before release.

DHIS2 native app

OneHealth Data Trust

Evidence, coverage, freshness, and RDQA-aligned quality reporting for eight disease surveillance programmes, computed live from DHIS2's own API.

Source

DHIS2 native app

Data Quality Auditor

Admin-configurable, RDQA-aligned quality checks for any dataset on any DHIS2 instance — no bundled programme list, including AMR-domain presets grounded in WHO GLASS.

Source

DHIS2 native app

Data Share Hub

Guided, secure external data sharing: scoped CSV export or a revocable API account, with the DHIS2 personal-access-token boundary handled honestly rather than papered over.

Source

DHIS2 native app · Tracker

AMR Stewardship Log

A WHO AWaRe-aligned antibiotic prescribing checklist. Watch/Reserve prescriptions require a justification note before submission, with a compliance summary flagging entries that bypass it.

Source

DHIS2 native app · Tracker

OTSS Supervision Log

A supportive-supervision checklist built directly from Burnett et al. 2019's published evaluation of PATH's MalariaCare Electronic Data System — tracking completeness and competency as two separate, honest scores.

Source

Interoperability · Node CLI

FHIR Immunization Bridge

A real DHIS2–FHIR interoperability tool, not another app-shell demo: syncs Immunization resources from a live FHIR R4 server into DHIS2 Tracker, with verified idempotent re-sync.

Source

Applied statistics · Node CLI

Outbreak Signal Detector

An implementation of the Farrington outbreak-detection algorithm (1996), validated against the UK's full real COVID-19 case history — correctly flagging every documented wave, including Omicron.

Source

Writing

Technical write-ups

Longer-form pieces — what building this work actually taught me, and two real methods checked against real data.

Retrospective

What Building Three Real DHIS2 Apps Actually Taught Me

Seven platform behaviors the docs don't mention, each found by an actual account clicking the actual button.

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Visual analysis

Paper to Pixel: What Digitizing Malaria Supervision Actually Changed

The full real numbers from Burnett et al. 2019's evaluation of PATH's MalariaCare Electronic Data System, visualized.

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Visual analysis

Catching Omicron: An Outbreak Detector Against Real Data

The Farrington algorithm's alarms, laid directly over the UK's real COVID case curve.

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