Human-in-the-loop
Human-in-the-loop is a system design where automation or AI handles routing, drafting, and orchestration, while a licensed human makes the consequential decision — in healthcare, the clinician who reviews and signs.
- Automation orchestrates; licensed humans decide
- In prescribing, the clinician’s review and signature is the loop
- The design that lets AI agents participate in care safely
- A regulatory requirement and a safety architecture at once
What the loop looks like in clinical infrastructure
Software can collect the intake, assemble the chart, flag risks, draft documentation, and route the case to the right licensed clinician in the right state. The clinician makes the call — prescribe, decline, escalate — and signs it. Automation compresses everything around the judgment; the judgment itself stays human, which is both the regulatory requirement and the safety architecture.
Why this matters in the agent era
As AI agents begin acting for patients — booking care, requesting refills, managing follow-ups — the human-in-the-loop boundary is what makes agentic healthcare legitimate: an agent can submit a request, but a licensed clinician approves every prescription. Infrastructure built this way gives agents a safe surface area (structured requests in, signed outcomes out) rather than an autonomy debate.
Compliance handled, so you can build
Lithos runs the clinicians, pharmacies, and 50-state rules behind your care program — one API.
Frequently asked questions
Can AI prescribe medication?
No — prescribing is a licensed clinical act. AI can prepare and route; a clinician decides and signs.
Does human review slow everything down?
Well-built queues keep review fast — automation removes everything except the minutes of actual judgment.
What should stay automated?
Everything before and after the decision: data assembly, routing, documentation drafts, fulfillment, and status updates.