sqior provides AI-powered digital assistants for hospitals, automating perioperative coordination, bed management, and clinical process analytics. The platform connects existing hospital systems, proactively orchestrates workflows, and delivers role-specific information to staff via smartphone. Over 1.2 million clinical processes have been autonomously executed through the system.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals rely on fragmented IT systems and manual coordination for critical workflows like operating room scheduling, bed allocation, and process monitoring. This leads to inefficiencies, delayed patient care, and administrative burden on clinical staff who must bridge gaps between disconnected systems.
Solution
sqior offers AI-powered digital assistants that work proactively in the background to automate and coordinate clinical processes across the hospital. The assistants connect existing systems, take over the coordination of entire workflows, and deliver the right information to each professional group at the right moment directly on their smartphone. The platform covers perioperative process control, automated bed management without phone calls, and AI-based process analytics for data-driven decisions. By handling routine coordination tasks autonomously, the system enables hospitals to improve patient care and operational efficiency.
Target Audience
Primary customers are hospitals and clinical institutions in German-speaking markets seeking to digitize and automate perioperative workflows, bed capacity management, and process analytics.
Features
- AI-driven OP coordination that intelligently controls all perioperative processes for maximum operating room efficiency
- Automated bed management assistant that handles patient placement and capacity planning without manual phone calls
- Process Analytics module providing AI-based evaluation of surgical, occupancy, and hospital-wide workflows
- Proactive background operation that connects existing hospital IT systems and delivers role-specific information to smartphones
- Over 1.2 million autonomously executed clinical processes demonstrating real-world deployment scale