End-to-end clinical analytics platform enabling real-time bed management, quality metric dashboards, and operational performance tracking for a multi-site healthcare system.
The healthcare system operated across 4 sites with completely disconnected data. Bed management was tracked in spreadsheets, patient flow was invisible to administration, and clinical quality metrics were produced monthly in static PDF reports that leadership couldn't act on in real time. Staff were spending hours per shift on manual data collection.
We built HL7/FHIR-compliant data integration connecting all EMR systems, designed a real-time bed management dashboard, created clinical KPI tracking across quality, efficiency, and patient satisfaction dimensions, and developed a capacity planning model using historical admission pattern analysis to predict surges 48 hours in advance.
Bed utilization improved to 82% — up from 68%. Operational efficiency increased by 38% through eliminated manual tracking. Patient flow is now visible in real time across all sites. Surge prediction gave staff 48-hour advance notice, dramatically improving scheduling. Clinical quality reporting that took days now generates automatically each morning.
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Key Results
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Technical Stack