Addie is PEP’s AI-driven care transition assistant. Designed for hospital case management, utilization review, and discharge planning teams to reduce length of stay, accelerate placement, and improve outcomes from acute to post-acute care.
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Addie stays with each patient from admission through discharge and recovery, continuously analyzing clinical, operational, and network data to anticipate post-acute needs, coordinate transitions, and remove barriers before they delay care.
Unlike static referral tools, Addie functions as an intelligent assistant that supports real-time decision-making across the discharge process.
How Addie's AI Works
Predictive Modeling at Admission: Addie analyzes patient acuity, diagnoses, functional status, social determinants, and historical utilization patterns to predict likely post-acute care needs early in the hospital stay.
Decision Support & Workflow Orchestration: As patient conditions evolve, Addie continuously updates recommendations, flags discharge barriers, and structures required data for downstream providers, payers, and care teams.
Automation & Business Rule Execution: Addie applies payer and provider business rules to automate documentation, referrals, and prior authorization workflows—reducing manual coordination and administrative delays.
Identifies post-acute care requirements near the point of admission, enabling discharge planning to begin earlier in the patient journey.
Business Impact
Reduces avoidable inpatient days
Improves discharge predictability
Increases case management efficiency
Automation & Business dddddd nation and administrative delays.
Coordinates clinical data, authorizations, referrals, and handoffs across hospital, post-acute providers, and payer workflows.
Business Impact
Shortens discharge decision cycles
Lowers length of stay (LOS)
Reduces readmission risk through better continuity of care
Automation & Business dddddd nation and administrative delays.
Matches patients to the most appropriate post-acute setting based on acuity, services required, capacity, payer requirements, and historical outcomes.
Improves placement speed
Optimizes bed utilization and throughput
Improves ARPOB and downstream revenue capture
Automation & Business dddddd nation and administrative delays.
Identifies post-acute care requirements near the point of admission, enabling discharge planning to begin earlier in the patient journey.
Reduces avoidable inpatient days
Improves discharge prectability
Increases case management efficiency
Automation & Business dddddd nation and administrative delays.
Unlock the Potential of AI to Improve Patient Care Coordination
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