Real-time hospital discharge decision support. For fee-for-service and value-based care.

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Our Product

Evidence-driven insights to identify which patients can safely go home with services, reducing unnecessary overutilization of costly facility-based post-acute care.

Discharge Decision Support

Our secure cloud-based solution helps nurses and care teams identify the best after-hospital care plan for each patient, and shortlists the providers best matched to their individualized needs.

Personalized Patient Care

Our prediction engine uses real patient outcomes to generate individualized insights for each patient, based on their unique clinical, functional, and social/behavioral needs.

Workflow Support

Our real-time patient triage system helps ensure that every patient gets the attention they need. Smart Placement supports and enhances existing clinical workflows.

A Future-Proof Solution: Improves fee-for-service economics and supports the transition to Value-Based Care.

Better communication, better decisions, better outcomes

Real-Time Care Coordination

  • Ensure that all care team members, including RN Case Managers and Physical Therapists, stay on the same page throughout the discharge planning process via real-time updates, secure messaging and notifications.

Evidence-Driven Decisions

  • Introduce objectivity and standardization into the discharge planning process, and identify the best evidence-driven decision for each patient.

Optimized for Quality, Cost & Outcomes

  • Achieve meaningful and immediate ROI, both under fee-for-service and for all contracts that are risk-bearing for post-acute - including Medicare ACO, BPCI-A Bundles, Medicare Advantage, and others.

The Pressing Need

The decision making process for post-acute care is subjective and imperfect

Over-utilization of Care

Facility based after-hospital care is often over-utilized. Smart Placement helps identify those patients who could and should safely go home.


Smart Placement introduces objectivity into the discharge planning process, and identifies the right evidence-driven decision for each patient based on data.