Trendlytics provides AI‑driven predictive and prescriptive analytics for hospitals, forecasting hourly patient census, bed capacity, and staffing needs with high accuracy. Its platform delivers actionable recommendations and a real‑time command‑center dashboard that enable administrators to optimize patient flow, staffing schedules, and discharge planning, reducing overtime and improving operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals often manage patient flow and staffing reactively, leading to overcrowded emergency departments, extended lengths of stay, mismatched nurse‑to‑patient ratios, and increased operational costs.
Solution
Trendlytics delivers AI‑driven predictive and prescriptive analytics that forecast hourly patient census, bed availability, and staffing demand with over 95% accuracy. By ingesting more than 70 real‑time and historical data points—including weather, holidays, and patient acuity—the platform generates actionable recommendations for nurse scheduling, on‑call staffing, and discharge planning. A centralized command‑center dashboard provides unit‑level visibility of capacity, resource allocation, and bottleneck risks, enabling hospital leaders to intervene before congestion occurs. The solution integrates with existing workflows through Lean process engineering and targeted dashboards, turning data into real‑time operational guidance that improves throughput, reduces overtime, and supports safer staffing ratios.
Target Audience
Primary customers are hospital administrators, operations leaders, and clinical staffing managers responsible for emergency department, inpatient, and overall capacity management.
Features
- Hourly demand forecasting for patient census, bed capacity, and length of stay using machine‑learning models trained on 70+ dynamic variables
- Prescriptive staffing engine that aligns nurse schedules, contracts, preferences, and skill sets with predicted patient acuity
- Real‑time “what‑if” scenario analysis to evaluate the impact of staffing or capacity decisions before implementation
- Unified command‑center dashboard delivering hospital‑wide visibility of patient flow, bed status, and resource utilization
- Automated on‑call and shift management integration to minimize overtime and temporary agency costs
- Proactive discharge planning alerts that identify patients at risk of extended stays and suggest interventions