InnoNOW Platform


Customers may specify their desired solution platform or use our InnoNOWTM Digital Health Plug-and-Play Platform.  InnoNOW integrates apps and devices with cloud applications to create an end-to-end digital health solution.  In other words, InnoNOW is a toolbox of validated software and hardware reference designs.  It is built with mobility in mind, using state-of-the-art technologies in sensing, communication, computing and social networking.

Compared to starting from scratch, customizing InnoNow for a given application results in substantial benefits. Its validated, ready-to-go modules reduce development time and cost, facilitate interoperability and scalability, and improve reliability and security.



InnoNOW's hardware architecture is built around sensing, computing, memory and communication modules.  Sensor node data may be transmitted raw or processed to varying degrees at the sensor node, depending on power, data and user interface requirements.  Its software architecture is based on cloud computing and Software as a Service (SaaS). An intelligence engine handles decision support. A logistics engine handles operational coordination.  An engagement engine generates timely custom reminders, alerts and notifications.  A database aggregates all captured data.  A dashboard provides tools for data analysis and visualization. The libraries are repositories of reference data.


The platform includes the following capabilities, which are expanding as part of our internal development; it isInnoNOW capabilities

     Customizable for

         Add-on capabilities to existing customer solutions

         New, turnkey end-to-end solutions

     Built for mobility and scalability, using state-of-the-art sensing, communication, computing, UX/UI and social networking

     Based on cloud computing and Software as a Service (SaaS)

     Portable to HIPAA compliant cloud services

     Comprised of backend Engines

         Intelligent decision support

         Logistics and operational coordination

         User engagement: curated content, custom reminders, alerts and notifications

     Comprised of backend repositories

         Aggregated captured data

         Data analysis and visualization

         Integrated reference data libraries