Agile Cooordination for Healthcare.
Shift2Shift is the AI-driven intelligence layer that digitizes the unit-level assignment process, transforming hours of manual work into transparent, optimal assignments generated in minutes, not hours, ensuring the Right nurse is with the Right patient, Right now.
Seamless, Bi-Directional Integration and Data Orchestration
Shift2Shift functions as the AI-driven intelligence layer, strategically designed to seamlessly integrate with and orchestrate data flow between existing core systems, namely the Electronic Health Record (EHR) and Workforce Management (WFM) platforms (e.g., UKG). The platform utilizes secure, standardized APIs (including HL7 v2 and FHIR) to maintain a constant, real-time data stream, ingesting critical patient information such as ADT feeds (Admit, Discharge, Transfer) and patient acuity scores from the EHR. Crucially, S2S employs bi-directional synchronization; after optimizing assignments, the platform automatically writes the finalized schedule back to the WFM system, ensuring the WFM remains the definitive System of Record for official schedules and payroll. This approach ensures data accuracy across the enterprise while protecting existing technology investments and eliminating potential new data silos, which is essential for CIOs and IT directors.
The Multi-Layered AI Rules Engine and Automated Compliance Guardrails
The Shift2Shift Intelligence Engine operates using a transparent, hierarchical rules architecture that translates complex organizational policy into executable algorithms. This system is founded on Hard Constraints, which are non-negotiable rules (Boolean True/False) that guarantee patient safety and 100% regulatory compliance by verifying mandatory requirements such as active staff licenses, union rules, and specific certifications (e.g., ventilator management) needed for patient care. Assignments that violate a hard constraint are immediately rejected, transforming compliance from a manual audit into an automated gatekeeper that directly addresses critical safety standards like the looming Joint Commission National Performance Goal on staffing. Supplementing this core safety function, the engine employs Soft Constraints and optimization algorithms to distribute acuity-driven workloads equitably, prioritizing staff preferences and continuity of care to reduce burnout and maximize satisfaction. Furthermore, the system utilizes a “glass box” model and Explainable AI (XAI), providing clear, human-readable rationales for every assignment recommendation to foster trust and empower the clinical leader’s decision-making.
A Look at the Numbers
Minutes required for optimal, intelligence-driven assignments to be generated, transforming a manual process that typically consumes two hours daily.
%
The level of compliance guaranteed for all non-negotiable Hard Constraints, such as licensure, certification, mandated ratios, and union rules, ensuring assignments are safe and auditable.
The estimated amount of clinical leadership hours reclaimed annually per unit by automating the manual administrative burden of staff adjustments and assignment management.
Our Hope for Your Health System
Health systems will achieve immediate financial stability by reducing high-cost agency labor and recovering organizational capacity through optimal, acuity-driven assignments.
By guaranteeing equitable, acuity-balanced assignments, the platform serves as a critical retention tool that restores staff autonomy, reduces burnout, and protects institutional knowledge.
Operational leaders will gain back valuable clinical time, moving from reactive chaos to proactive command, while ensuring 100% compliance with critical safety and licensure mandates.
