Surgi Data provides a cloud‑native platform that centralizes surgical case scheduling, resource allocation, and real‑time operating‑room monitoring. By ingesting data from equipment, staff rosters, and EHRs, its predictive analytics generate dynamic schedules and KPI dashboards to improve OR utilization and reduce delays. The solution integrates via HL7/FHIR and REST APIs and offers mobile access for staff notifications and updates.
Funding
Funding not disclosed
Founders
Product
Problem
Surgical departments often face fragmented scheduling processes, limited visibility into real‑time operating‑room (OR) status, and unpredictable case durations, leading to under‑utilized OR capacity and frequent procedure delays. These inefficiencies increase staffing costs and reduce patient throughput.
Solution
Surgi Data delivers a cloud‑native surgical workflow platform that centralizes case scheduling, resource allocation, and real‑time OR monitoring. The system ingests live data from OR equipment, staff rosters, and electronic health records to generate dynamic, data‑driven schedules that adapt to changing conditions. Predictive analytics estimate procedure lengths and suggest optimal sequencing to maximize throughput while respecting clinical priorities. Integrated dashboards provide administrators with actionable KPIs on utilization, turnover time, and bottleneck identification. Secure APIs enable bidirectional exchange with existing EHR and peri‑operative information systems, ensuring seamless workflow continuity. Mobile interfaces allow surgeons, nurses, and coordinators to receive alerts, update case status, and access schedules on the go. By automating routine coordination tasks, the platform reduces manual errors and frees staff to focus on patient care.
Target Audience
The primary customers are hospital surgical services, ambulatory surgery centers, and health‑system OR managers seeking to improve scheduling efficiency and resource utilization.
Features
- Real‑time OR status board aggregating equipment, staff, and case data via HL7/FHIR interfaces
- Automated case sequencing engine that optimizes schedule based on predicted duration, priority, and resource constraints
- Predictive analytics models trained on historical case metrics to forecast turnover and procedure times
- Configurable KPI dashboards for utilization, on‑time start rates, and turnover efficiency with drill‑down reporting
- Bidirectional integration with major EHRs and OR management systems through secure RESTful APIs
- Mobile app for iOS/Android delivering push notifications, schedule updates, and on‑the‑fly adjustments
- Role‑based access control and audit logging to meet HIPAA and hospital governance requirements
- Customizable rule engine allowing institutions to encode specialty‑specific protocols and staffing policies