Patient Identification and Safety Modules

Electronic control modules for medical equipment operation and patient positioning. These integrated systems provide reliable actuation and control for various healthcare applications.

Customizable software modules including SCADA systems, mobile apps, web HMI, cloud integration, and AI applications for sensing and diagnostics. Provides edge or cloud computing solutions optimized for medical device implementations.

Comprehensive digital healthcare platform integrating multiple vital sign measurement modules and diagnostic tools. Designed for healthcare facilities and kiosk-based self-diagnosis applications.

A comprehensive digital platform for storing, managing, and analyzing patient health records and screening data. The system supports multi-user access, data visualization, and integration with AI diagnostic modules.

Software platform for secure storage, retrieval, and analysis of neurophysiological test data. Integrates with diagnostic equipment for streamlined workflow.

Software systems designed to ensure safety and security in medical device operations and data management. This system protects sensitive patient and operational information.

An automated patient identification and test tracking system that reads barcodes to initiate diagnostic procedures and link results to patient records. Ensures zero data loss and accurate case documentation.

Network security module providing encrypted data connectivity for medical computing systems. Ensures HIPAA-compliant secure data transmission in clinical environments.

Electronic health record system designed for neurophysiology clinics and laboratories. Manages patient information, test scheduling, and report generation.

Software platform for processing and analyzing data from medical sensors and diagnostic devices. Provides clinical visualization and reporting of patient assessment results.

Embedded control system for patient vital sign monitoring and data management. Integrates with diagnostic equipment to collect, process and display patient health metrics in clinical environments.