Overview:
A large hospital network with over 800,000 patients was losing millions annually due to missed preventive care actions, mammograms, A1C tests, statin prescriptions. Existing systems failed to catch these lapses in time, leading to late diagnoses, emergency interventions, and reimbursement penalties.
The Challenge:
The Datapro Approach:
Datapro worked with the network’s clinical innovation team to build an AI-enabled care gap detection and outreach platform.
Step 1: Intelligent Data Ingestion
We deployed a cloud-native pipeline to ingest:
Step 2: AI-Powered Care Gap Detection
We trained models using clinical ontologies and guidelines to detect:
Unlike traditional rule engines, our system handled nuance from real-world data and adapted to new guidelines automatically.
Step 3: Personalized Patient Outreach
We built an engagement layer with patient-specific insights:
Results:
Why It Worked:
Datapro brought together data engineering, clinical AI expertise, and user-centric design. We didn’t just build dashboards, we built intelligent systems that acted on data in real time and integrated into existing clinical workflows.