The Queen's Health System Generates $22M in Savings and $1.9M New Revenue with Data-Driven Patient Flow Optimization
“The Queen's Health System Generates $22M in Savings and $1.9M New Revenue with Data-Driven Patient Flow Optimization” documents a Patient Flow & Hospital Operations deployment in Hospital & Health System at The Queen's Health System. www.healthcatalyst.com reports cost savings: $22M; this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: www.healthcatalyst.com
The Challenge
The Queen's Health System faced high demand but was constrained by prolonged length of stay (LOS), causing patients to board in the emergency department. The organization lacked standardized processes and had limited visibility into performance metrics, preventing effective patient flow improvement despite recognized need.
The Solution
Queen's deployed Health Catalyst's analytics platform including the Patient Flow Explorer accelerator and Tech-Enabled Managed Services. They established a dedicated patient flow improvement team and executive steering committee, implemented a tiered capacity management plan, introduced geographically cohorted hospitalists with standardized daily interdisciplinary rounds, and stood up a centralized command center staffed by proactive patient flow coordinators.
Results
Over 15 months, Queen's achieved an 8.4% relative reduction in average LOS, enabling patients to spend 19,000 more days at home and generating $22M in cost savings. An 8.4% relative increase in admissions over 11 months produced $1.9M in new revenue, and the initiative prevented up to 18 additional patients per day from boarding in the emergency department.
Key Takeaways
- A dedicated governance structure (improvement team + executive steering committee) with clear roles is essential for sustaining patient flow gains at scale.
- Combining real-time analytics (Patient Flow Explorer) with standardized clinical workflows (interdisciplinary rounds, geographic cohorting) creates compounding improvements in LOS and capacity.
- A centralized command center that proactively engages care teams—rather than reactively responding—is the key operational lever for managing surge and reducing ED boarding.
Explore Related
Details
- Industry
- Hospital & Health System
- AI Technology
- Machine Learning & Predictive Analytics
- Company Size
- Enterprise
- Company
- The Queen's Health System
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
www.healthcatalyst.comHave a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →