orchestra
orchestra is a nursing-owned, ai-assisted clinical coordination platform designed to reduce delays and safety gaps during complex patient transitions.
Core trick
Extracts operational facts from a spoken nursing update and maps them to a readiness checklist, with deterministic rules computing each requirement's status and source.
Description
orchestra is a nursing-owned, ai-assisted clinical coordination platform designed to reduce delays and safety gaps during complex patient transitions. Nurses often hold the operational picture together across procedures, imaging, transfers, and discharges, yet they must coordinate through fragmented chart review, phone calls, and verbal updates. this makes it difficult for the bedside team to know whether every dependency has actually been completed.
for this demo, this is an MRI readiness workflow for a critically ill pediatric patient. orchestra gives the bedside nurse a patient-specific readiness checklist, captures a natural clinical update, extracts operational facts, and maps them to readiness requirements in real time. it identifies confirmed items and unresolved dependencies such as transport staffing, equipment, consent, fasting status, interpreter access, anesthesia assessment, and cardiac-device planning.
the ai does not medically clear the patient. It supports nursing coordination by extracting and reconciling information, while deterministic rules calculate operational readiness and maintain an auditable source for each update. MRI is the initial use case, but the same nursing-led orchestration engine could support OR handoffs, ICU transport, interfacility transfers, and high-risk discharge workflows.
README excerpt
# Orchestra **Orchestra is a nursing-owned, AI-assisted clinical coordination platform** designed to reduce delays and safety gaps during complex patient transitions. Nurses hold the operational picture together across procedures, imaging, transfers, and discharges — yet they must coordinate through fragmented chart review, phone calls, and verbal updates. That makes it hard for the bedside team to know whether every dependency has actually been completed. Orchestra gives the bedside nurse a **patient-specific readiness checklist**, captures natural clinical updates (spoken or typed), extracts operational facts, and maps them to readiness requirements in real time. It identifies confirmed items and unresolved dependencies — transport staffing, equipment, consent, fasting status, interpreter access, anesthesia assessment, cardiac-device planning — with an auditable source for every update. **The demo:** an MRI readiness workflow for a critically ill pediatric patient. **Mateo** — seven months old, day one after open-heart surgery, new left-sided weakness overnight, destination: urgent brain MRI. His checklist populates from chart context, and the platform already knows the destination-specific hazard: **Cardiac Device — Blocked.** He has a pacemaker, and the destination is a giant magnet. **The AI does not medically clear the patient.** It supports nursing coordination by extracting and reconciling information, while deterministic rules calculate operational readiness. St