Perioperative and infusion scheduling optimization — 19% OR utilization lift
An academic medical center struggled with OR gaps, infusion chair idle time and last-minute cancellations. pronix.ai built an agentic scheduling optimizer that released unused blocks, packed infusion chairs and proactively reached out to patients — lifting OR utilization 19% and cutting same-day cancellations by 27%.
Academic medical center, 42 ORs and 180 infusion chairs · Epic · Kore.ai Agent Platform · Azure AI Foundry
- Client
- Academic medical center, 42 ORs and 180 infusion chairs
- Industry
- Healthcare Providers
- Platform
- Epic · Kore.ai Agent Platform · Azure AI Foundry
*Representative outcome; results vary by client, scope and platform configuration.
The challenge
OR utilization hovered at 68%, infusion chairs sat empty during peak demand windows, and 14% of scheduled procedures canceled same-day. Schedulers worked in silos by department and couldn't see cross-resource constraints.
Our approach
Agentic block-release assistant
The agent monitored surgeon block usage, predicted release candidates and prompted schedulers to release or swap blocks before they aged into waste.
Infusion chair packing
An optimization model packed infusion appointments by chair, nurse and pharmacy availability — reducing idle chair time and patient wait.
Proactive patient outreach
Voice and text reminders confirmed appointments, screened for barriers like transport or prep questions, and offered reschedule before the slot became a same-day cancellation.
Human scheduler co-pilot
Schedulers reviewed agent recommendations in Epic and approved with one click — they stayed in control while the agent handled the combinatorial work.
“We didn't hire more schedulers. We gave our existing team an assistant that sees the whole board.”
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Read →Illustrative case study. Scenarios, metrics, quotes and client details are representative composites based on Pronix engagements and industry benchmarks unless a named client is shown with written consent. Outcomes vary by client, scope, data quality and platform configuration. Nothing on this page is a guarantee, warranty or professional advice. See our Terms of Use for the full disclaimer.
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