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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, try it, then build it yourself. You can go deeper at any time in the written chapters.

  1. 1

    Load the health records, and check them first

    Load three kinds of health data (FHIR records, HL7 messages and doctors' notes) and check the data can be trusted before any clinical logic runs.

  2. 2

    Remove the patient's details, keep the medicine

    Remove personal health details to the HIPAA Safe Harbor standard without destroying the clinical meaning the note exists for.

  3. 3

    Match one patient across three records

    Build a master patient index that joins the records belonging to one person, and refuses to join the ones that do not.

  4. 4

    Find the warning signs, without crying wolf

    Turn the clinical warning signs that matter into detectors, check they catch every labelled case, and treat the number of alerts as a safety issue too.

  5. 5

    An agent that drafts, and a clinician who signs

    Automate gathering the case and drafting a summary, and put a gate in front of the patient's chart that no automatic step can pass.

  6. 6

    Put it in front of clinicians, and watch it honestly

    Put the system where clinicians work, gate the write to the chart, and measure it honestly, including what the measurements cannot see.

Skills you'll practise

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

Practice 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)

How this certificate is scored

Your certificate shows how many of your written answers met the rubric below, checked by an AI grader. Anyone who checks your certificate sees it.

  • You answer 6 short questions, one for each module, in your own words (at least 40 words each).
  • An AI grader checks each answer against what its module asks for: it must answer the question, use the course's practice case specifically, and be correct.
  • To pass, at least 5 of the 6 answers must meet that bar. The certificate says the answers were graded by AI.

The rubric

  1. Module 1, Ingest: FHIR + HL7 + notes loaded, with code systems and units validated.
  2. Module 2, De-identify: PHI stripped to HIPAA Safe Harbor, with a separately held re-identification key.
  3. Module 3, Resolve: A master patient index that merges three MRNs into one person.
  4. Module 4, Detect: Interaction, care-gap and deterioration signals scored against ground truth.
  5. Module 5, Clinical Agent: A cited clinical summary drafted behind a clinician-approval gate.
  6. Module 6, Deploy: Clinician queue + FHIR write-back, with override rate and alert burden monitored.

What you walk away with

Shareable portfolio

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

Everything you build

Download all your work as a ZIP file. It is yours to keep.

Module walkthrough

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

Ready to start AI Clinical Operations Assistant?

First course free. $20 per course after that.