Omni Health is an integrated, patent pending, solution that TIBIL has developed to provide real-time continuous collection, analysis and reporting of patient data from bedside monitoring devices in Emergency and Hospital facilities, regardless of the device’s specific purpose or manufacturer. We are able to do this with a deep API repository, a flexible optional local or cloud based architecture and a robust set of analytic and reporting capabilities. These capabilities are complemented by a team optimized to rapidly deploy to a site, identify any gaps in support and then meet those needs. The result is real time collection, analysis and reporting of patient data integrated with a Hospital or Emergency facility management system or custom developed mobile solutions, meeting the needs of health care professionals, administrators and insurance carriers.

What makes Omni Health Monitoring unique?

As a hardware agnostic, cloud based or local software solution, Omni Health Monitoring can work for all bedside monitors in an Emergency or Hospital facility and does not require specific pre-existing in facility capabilities. The alternatives are manufacturer specific solutions that only work for a limited sub-set of devices, extensive custom development or labor intensive, relatively error prone and potentially infrequent manual collection.


  • Near real time presentation of patient’s vital statistics with pre-programmed alerts to health care professionals, even while away from the patient (leveraging mobile technology), improves timely patient care.
  • Integration of the data with management systems ensures meeting of Insurance companies’ monitoring and reporting requirements, supporting the improved realization of trauma activation (estimated at $2 million per annum at one 200 bed hospital) and potentially other insurance payments.
  • Automated data capture allows re-deployment of professionals time currently spent manually capturing data, while significantly improving data frequency and quality.
  • Manufacturer independence allows for lower costs and more efficient implementation and greater flexibility for future device selection
  • Potential integration of deep monitoring and management system data supports iterative analysis of alert thresholds driving efficient and customized care.