Course Content
Agentic AI Patterns
9 sections · 50 lessons
How can Agentic AI transform the healthcare industry?
What you need to know
Where agents help now
| Area | Example | Risk level |
|---|---|---|
| Documentation | Draft notes from the consultation audio | Low to medium; clinician signs |
| Revenue cycle | Coding, claims, prior authorisation | Low; checked by billing staff |
| Patient operations | Intake forms, reminders, follow-ups | Low to medium |
| Knowledge work | Literature summaries, trial matching | Medium; clinician decides |
| Clinical decision support | Differentials, alerts | High; often regulated |
Non-negotiable design rules
- Grounding with citations to the patient record or an approved guideline, with as-of dates.
- Clinician sign-off on anything that affects care. The agent drafts; the clinician decides.
- Patient data protection. Data minimisation, role-based access, audit trails and regional hosting. In the US, HIPAA and a business associate agreement with the model provider; in India, the Digital Personal Data Protection Act.
- Deterministic tools for dosing, interactions and risk scores.
- Clinical evaluation on cases adjudicated by clinicians, with safety events reviewed one by one.
Regulation
Software that diagnoses or recommends treatment can be a medical device, regulated by bodies such as the FDA in the US or CDSCO in India. That is why most measurable returns today come from administrative work, where a mistake costs a minute of rework, not patient harm.
A real-life example
A 300-bed hospital in Pune spends heavily on insurance pre-authorisation. Staff read the admission notes, fill the insurer's form, attach reports, and answer queries. Each case takes about 40 minutes, and delays hold up admissions.
The agent:
- reads the admission note, lab reports and doctor's plan from the hospital system (read-only, with the staff member's permissions);
- fills the insurer's form with each field linked to its source document;
- checks the patient's policy for room-rent limits and waiting periods through the insurer's API;
- drafts replies to insurer queries, such as "please provide the ECG report", by finding the document.
A billing officer reviews and submits every form. Preparation time fell from about 40 to about 12 minutes, and query rounds dropped because fewer documents were missing. No clinical decision is made by the agent.
Follow-up questions to expect
- "Why not start with diagnosis support?" — Higher regulatory burden and risk, and harder evaluation. Administrative work gives measurable value with low risk and builds trust.
- "How do you prevent hallucinated clinical facts?" — Require a citation for each statement, validate that cited items exist, and pin safety-critical fields like allergies from structured data.
- "How do you evaluate?" — Clinician-reviewed samples, edit distance on drafts, and individual review of every safety event.