This startup provides hospital data management software that automates the capture and recording of patient journey data within operating rooms. Its dashboard visualizes information on patient flow, supply consumption (equipment, medical devices, medication), and asset utilization, enabling hospitals to efficiently manage resources and track activity.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals often struggle with inefficient data collection and management in operating rooms, leading to inaccurate records of patient journeys and resource utilization. This lack of real-time visibility hinders effective monitoring, analysis, and decision-making for hospital management.
Solution
HL Analytics offers a hospital data management platform that automates the capture, recording, and management of patient journey data within operating rooms. By passively tracking events and assets utilized during a patient's procedure, the system provides real-time insights into supply consumption, equipment usage, and patient flow. The platform's user-friendly dashboard visualizes patient-related data in a clear and organized manner, enabling hospital management to monitor activity, analyze trends, and make data-driven decisions to improve quality, safety, and efficiency. HL Analytics leverages IoT technology to collect comprehensive data from diverse hospital sources, ensuring accuracy and streamlined healthcare processes.
Target Audience
The primary target audience includes hospital management, healthcare planners, and clinical staff seeking to improve operating room efficiency, optimize resource utilization, and enhance patient care.
Features
- Automated and passive data collection of events and asset utilization during patient procedures in the OR
- Real-time monitoring of supply consumption, including equipment, medical devices, and medication administration
- User-friendly dashboard for visualizing patient-related data in a clear and organized manner
- IoT-based data collection from diverse hospital sources
- Integration of data with individual patients for enhanced accuracy
- Cloud-based monitoring and control software
- AI-powered analytics to identify patterns and optimize resource allocation