EquiShift
EquiShift provides AI‑driven emergency department (ED) staffing forecasts that predict patient volume up to a month in advance and deliver shift‑specific staffing recommendations for doctors and nurses. By using probability‑based confidence scores, the platform helps health systems reduce clinician burnout, avoid costly over‑ or under‑staffing, and improve patient wait times and reimbursement outcomes.
- Artificial Intelligence
- Data & Analytics
- Healthcare Technology
Funding
Founders
Product
Problem
Emergency departments struggle with unpredictable patient volumes, leading to staffing mismatches that cause clinician burnout, high turnover costs, longer wait times, and reduced reimbursements.
Solution
EquiShift delivers AI‑powered forecasts of ED patient demand up to a month in advance, paired with shift‑specific staffing recommendations for doctors, nurses, and support staff. The platform quantifies expected volume surges, assigns confidence levels to each prediction, and models the impact of staffing adjustments on key metrics such as wait time, length of stay, and left‑without‑being‑seen rates. By aligning schedules with data‑driven demand signals, hospitals can balance workloads, avoid over‑ or under‑staffing, and protect both clinician retention and revenue streams.
Target Audience
Primary customers are emergency department administrators and staffing managers at hospitals and health systems seeking to optimize labor costs while maintaining clinician well‑being and patient satisfaction.
Features
- Machine‑learning models predict daily patient volume with up to 92% accuracy, highlighting anomaly days and event‑driven surges.
- Shift‑level staffing recommendations (day and night) specify exact numbers of additional physicians, nurses, and support staff needed.
- Probability‑based confidence scores allow administrators to filter forecasts and plan with defined certainty thresholds.
- Integrated impact simulation shows how staffing changes affect average wait times, length of stay, and LWOBS rates.
- Dashboard visualizations present monthly demand trends, anomaly alerts, and recommended staffing adjustments in a single view.
- Exportable reports support operational planning and compliance with staffing policies.