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$20

AI Clinical Operations Assistant

Build a hospital-grade clinical operations system: ingest FHIR and HL7 v2 feeds alongside free-text notes; de-identify protected health information to the HIPAA Safe Harbor standard; resolve one patient across three conflicting medical record numbers; detect drug interactions, care gaps and early deterioration; and ship an agent that assembles each case, drafts the clinical summary with citations, and writes nothing back to the chart without a clinician's approval. Recall-first: catch every planted safety signal, then cut alert fatigue.

"Three records, one patient — surface the missed drug interaction and draft the summary for a clinician to approve"

6 Interactive Sessions

Short, interactive sessions — watch it work, steer it, then build it yourself. Go deeper anytime with the full code walkthrough.

  1. 1

    Ingest — four records, and you don't yet know how many patients

    Load FHIR, HL7 v2 and free-text notes, and prove the data is trustworthy before any clinical logic runs.

  2. 2

    De-identify — remove the patient, keep the medicine

    Strip protected health information to the HIPAA Safe Harbor standard without destroying the clinical meaning the note exists for.

  3. 3

    Resolve — one human, three charts

    Build a master patient index that merges the records belonging to one person, and refuses to merge the ones that don't.

  4. 4

    Detect — and the cost of crying wolf

    Encode the clinical signals that matter, tune recall against labelled ground truth, and treat alert burden as a safety outcome rather than an inconvenience.

  5. 5

    Clinical agent — it drafts, a clinician signs

    Automate the assembly and the drafting, and put a gate in front of the chart that has no automatic exit.

  6. 6

    Deploy — override rate is the number that matters

    Put the system where clinicians work, gate the write-back, and instrument it honestly — including what the instruments cannot see.

Production patterns you'll master

FHIR/HL7 IngestionPHI De-identificationPatient Identity ResolutionClinical Risk DetectionHuman-in-the-Loop AgentAudit Trail

Synthetic data included

  • FHIR R4 bundles (Patient · Encounter · Observation)
  • HL7 v2 ADT & ORU messages
  • Free-text clinical notes with embedded PHI
  • Medication orders with RxNorm codes
  • Labeled safety signals (interaction · care gap · deterioration)

What you walk away with

Shareable portfolio

A public URL showing your module timeline, patterns mastered, and completion status.

All the code

Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.

Module walkthrough

Each module documented with deliverables and the production pattern you implemented.

Ready to build your ai clinical operations assistant?

First course free. $20 per course after that.