Case study · From the Pluris libraryReceipt no. 3326
What sucked
Despite managing 100,000+ patient populations, practices could only identify a fraction of patients eligible for profitable procedures and clinical trials.
Patient identification took hours. Patient recall and outreach was partial. Finding patients to optimize staffing and scheduling was a bottleneck.
What they built
ScrumLaunch built an AI agent-based system for a specialty healthcare practice that ingests unstructured clinical records, notes, PDFs, fax scans, and EMR archives, and normalizes them into structured patient profiles searchable by clinical criteria, embedded directly into the patient navigator workflow.
What changed
10x Revenue vs Return on Investment
Payback in months vs years. Unlocked latent revenue.
50% increase in procedural revenue.
Improvement in revenue cycle management.
Cut time for patient identification
Navigators able to surface eligible patients quicker, increasing 'sales' velocity.
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