HealthTechPredictive Analytics & Care Management20248 months
Predictive Readmission Intelligence Platform
28%
Readmission Rate Reduction
30-day all-cause readmissions across the network
$6.4M
CMS Penalty Avoidance
Annual savings from reduced readmission penalties
3.1×
Care Coordinator Efficiency
More patients managed per coordinator per day
91%
High-Risk Patient Identification
Precision at top 20% risk score threshold
The Challenge
A 12-hospital network faced $23M annually in CMS readmission penalties, with 30-day readmission rates 4.2 points above the national average. Care coordinators had no systematic way to identify high-risk patients before discharge.
Our Solution
We built a HIPAA-compliant predictive platform that ingests real-time EHR data via HL7 FHIR APIs, social determinants of health (SDOH) data, and claims history to generate patient-specific readmission risk scores 48–72 hours before discharge. The platform surfaces intervention recommendations and automates care plan assignments.
Key Outcomes
28%
Readmission Rate Reduction
30-day all-cause readmissions across the network
$6.4M
CMS Penalty Avoidance
Annual savings from reduced readmission penalties
3.1×
Care Coordinator Efficiency
More patients managed per coordinator per day
91%
High-Risk Patient Identification
Precision at top 20% risk score threshold
"The SDOH integration was something no other vendor offered. We're now intervening on the right patients at the right time, and our quality scores reflect it."
D
Dr. Marcus Reid
VP of Clinical Innovation · Summit Health Network
Project Details
ClientSummit Health Network
IndustryHealthTech
Duration8 months
Year2024
Tech Stack
PythonXGBoostHL7 FHIR R4Azure Health Data ServicesReactNode.jsRedisKubernetes
Tags
Healthcare AIPredictive ModelingHL7 FHIRPythonHIPAA Compliant
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