El Camino Hospital reduces ALOS 7.8% and saves $2.2M annually with analytics-driven LOS reduction initiative

El Camino Hospital deployed Machine Learning & Predictive Analytics for Patient Flow & Hospital Operations in Hospital & Health System. As reported by www.healthcatalyst.com: 7.8% (5.24 → 4.83 days) alos reduction.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
7.8% (5.24 → 4.83 days)ALOS Reduction
$2.2 millionAnnual Cost Savings
55%HAC Reduction

Source-reported figures (cited source: www.healthcatalyst.com)

El Camino Hospital
Metric Before After Impact
Average Length of Stay (ALOS) 5.24 days 4.83 days 7.8% reduction
Readmission Rate 12.2% 10.4% 14.8% reduction
Hospital-Acquired Conditions 11 events 5 events 55% reduction
AHRQ Patient Safety Indicators — — 32% reduction

What El Camino Hospital was trying to fix

El Camino Hospital, a 395-bed community hospital, struggled with high length of stay driven by complex discharge barriers, inconsistent care coordination, and lack of actionable data. Care coordinators managed oversized patient panels without adequate shift or weekend coverage, and the hospital lacked timely visibility into which clinical and operational factors were prolonging stays.

What El Camino Hospital deployed

The hospital implemented an enterprise data warehouse and analytics platform (Health Catalyst) to integrate clinical, billing, cost, and quality data into actionable dashboards. A custom 'days stayed' metric replaced ALOS for targeting high-utilization patients. Multidisciplinary daily rounds and twice-weekly outlier rounds were established, discharge planning began at admission, and care coordinator coverage was expanded across all shifts and the ED.

Results

ALOS dropped from 5.24 to 4.83 days (7.8% reduction), readmissions fell from 12.2% to 10.4% (14.8% reduction), and hospital-acquired conditions declined 55% (from 11 to 5 events). AHRQ patient safety indicators fell 32%, and the initiative generated $2.2 million in projected annual cost savings.

Key Takeaways

  • Targeting the highest-utilization outlier patients (those staying 19+ days accounted for 42% of total days stayed) produced outsized impact on overall LOS metrics.
  • Data transparency at the unit manager and bedside nurse level broke down siloes and drove behavioral change more effectively than top-down directives.
  • Reducing LOS and reducing readmissions are not inherently at odds — a patient-centered discharge process achieved both simultaneously.

Evidence for El Camino Hospital's Patient Flow & Hospital Operations deployment

Reported outcome metrics
3 cited below
Last updated
Source link checked

Share:

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →