Roles in digital health
The actual jobs — informatics, integration, coding/RCM, data, product, clinical informatics — what each does day to day, and how the Kosha + labs map to them.
In one line
"Digital health" isn't one job — it's a dozen, from the clinician-informatician who shapes the EHR to the integration engineer who wires systems together to the coder who turns care into a clean claim. Most people enter from either a clinical or a technical background and grow the other half.
The roles, briefly
- Clinical informatician — a clinician who shapes EHRs, order sets and decision support. Bridge skill: workflow.
- Medical coder / RCM specialist — turns documented care into accurate codes and clean claims; deep terminology knowledge. See the dedicated coding & RCM path.
- Health-data analyst / scientist — builds cohorts, quality measures and models on OMOP/FHIR data. Skill: SQL, stats, Python.
- Integration engineer — connects systems with HL7 v2 and FHIR. Skill: interfaces, mapping, debugging.
- Platform / ML engineer — builds the apps, pipelines and AI services underneath.
- Product / project / governance — translate need into roadmap, run delivery, own data governance and compliance.
How to use this platform for it
Each role maps to a lab path and a Kosha track: coders → ICD-10 + terminology labs; integration → HL7/FHIR labs; analysts → the Python/data labs; informaticians → CDS + FHIR. The SIDHI certification proves the competency an employer is hiring for — because you did the work in the lab, not just watched a lecture.
Getting in
You don't need permission or a prior degree to start. Pick the role nearest your current strength, run its labs, earn the micro-credential, and let the verifiable result open the door — exactly the gate that traditional gatekept programmes keep shut.
Picking your entry point
Two honest rules of thumb. First, start from your strength: a nurse or doctor begins clinical (informatics, CDI) and grows the tech; an engineer or graduate begins technical (integration, data) and grows the clinical. Second, the bridge skill is the career — the rare, well-paid people are fluent in both the care and the system, which is exactly what doing real lab work (not watching lectures) builds.
Key takeaways
- "Digital health" is a dozen jobs along a clinical ↔ technical spectrum, not one role.
- Core roles: clinical informatician, coder/RCM, data analyst, integration engineer, platform/ML, product/governance.
- Enter from your strength and grow the other half; the bridge skill is the prize.
- Each role maps to a lab path here, and the SIDHI credential proves you can do the work.
Check your recall
0 of 2 recalledActive recall beats re-reading — try to answer, then reveal.
How should you pick an entry point into a digital-health career?
Name a few core digital-health roles along the clinical ↔ technical spectrum.