SANIIA is an AI-powered platform that optimizes hospital bed management by predicting patient flow and automating resource allocation. The system analyzes real-time data to schedule activities, coordinate actions, and notify staff, ultimately reducing bed turnover time and improving staff efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals face challenges in predicting patient flow, leading to inefficient bed management, staff overload, and increased patient wait times. Inaccurate forecasting results in suboptimal resource allocation and difficulties in coordinating patient care, impacting both patient satisfaction and staff well-being.
Solution
SANIIA is an AI-powered smart bed management platform designed to optimize hospital workflows by accurately predicting patient admissions and automating resource allocation. The system analyzes real-time data from existing hospital information systems, including patient movements and emergency department activity, to forecast bed occupancy and potential bottlenecks. By providing a clear view of current and future capacity, SANIIA enables proactive bed management, reduces patient wait times, and minimizes interruptions for healthcare staff. The platform facilitates better coordination between hospital departments, ensuring that resources are available when and where they are needed, ultimately improving both patient experience and staff efficiency.
Target Audience
SANIIA is designed for hospitals, healthcare systems, and emergency departments seeking to improve bed management efficiency, reduce patient wait times, and optimize resource allocation.
Features
- AI-driven predictive models for forecasting patient flow and hospitalizations up to 48 hours in advance
- Real-time monitoring of bed availability and occupancy rates with less than 1% error rate
- Automated bed allocation recommendations, including support for patient transfers and discharges
- Integration with existing hospital information systems (e.g., MAINCARE, ORACLE CERNER, DEDALUS, AXIGATE, Hopsiia Meddatabox) for seamless data exchange
- Mobile application for interactive bed management, including bed requests, transfers, and discharge notifications
- Customizable dashboards and reporting tools for monitoring key performance indicators (KPIs) related to bed management and patient flow
- Role-based access control and data encryption to ensure patient data privacy and compliance with GDPR
- Optional modules for advanced orchestration, capacity planning, and AI-assisted bed management