Healthcare
Patient Flow Optimization for a Tertiary Care Hospital
Optimized patient flow for a 750-bed hospital, reducing ED wait time from 4.2 hours to 1.8 hours and surgical cancellations from 15% to 4%.
4.2h → 1.8h
ED Wait Time
8% → 2.1%
Left Without Seen
Industry
Healthcare
Offering
Kaara Build
The Challenge
The hospital's emergency department had an average wait time of 4.2 hours, with 8% of patients leaving without being seen. Radiology appointments operated on first-come-first-served, ignoring clinical urgency. Surgical scheduling was managed manually, resulting in 15% cancellation rates. Bed management relied on nurses making phone calls across departments, adding 90+ minutes to the admission process.
The Kaara Approach
Kaara deployed a Hospital Operations Intelligence Platform on Kaara.Code that treated the hospital as an interconnected system rather than a collection of independent departments. The Enterprise Memory Layer encoded the hospital's specific patient flow patterns, physician availability schedules, equipment maintenance windows, seasonal admission patterns, and department-specific capacity constraints. The platform used predictive models that anticipated patient volumes, estimated length of stay by diagnosis category, and optimized resource allocation across the entire facility.
Measurable Impact
4.2h → 1.8h
ED Wait Time
8% → 2.1%
Left Without Seen
15% → 4%
Surgical Cancellations
90m → 25m
Bed Turnaround
The Advantage
The Compounding
Build Advantage
/01
The Advantage
The Compounding Build Advantage
/01
Seasonal patient volume patterns accumulated over months, making each subsequent period's predictions more accurate
/02
Cross-department cascading effects learned and incorporated into holistic scheduling decisions
/03
Physician-specific procedure durations and preferences retained, improving surgical scheduling precision
/04
Equipment utilization and maintenance patterns informed proactive scheduling rather than reactive disruption