We work with

  • Healthcare organizations
  • Service providers
  • Digital Health Companies
  • Startups
  • Research institutions

Reference projects

  • Remote Patient Monitoring: Development of applications that allow healthcare providers to monitor patients remotely, improving patient outcomes and reducing healthcare costs. 

  • Telemedicine: Telemedicine solutions enable patients to consult with healthcare professionals from the comfort of their homes.

  • Sensor Integration: Integration of various sensors into Digital health platform to collect vital health data from patients.

  • HIS Integration: Seamless integration with Hospital Information Systems (HIS) for efficient patient and other data exchange.
  • Virtual Hospital: Building virtual hospital systems that provide comprehensive healthcare services online.

  • Interoperability: Setting up interoperability services to overcome silos based legacy healthcare environments

Case studies 

Telemedicine for Chronic disease patients

 

  •       Native APP for remote patient monitoring
  •       Customization of different APPs (features, design, security)
  •       Continuous monitoring of patients at their home
  •       Reporting portal, statistical analysis, data mining
  •       Integration of new medical sensors/devices  

Middleware software

 

  •       Integration with National healthcare systems
  •       Integration with different EHR providers
  •       Alarming and notifications system
  •       Data quality assurance
  •       Interoperability hub

 

Live monitoring

 

  •       Real-time patient monitoring, development of complete BE and FE solution
  •       Designed to provide quick and easy access to live monitoring at large scale
  •       Modularly built to enable modification based on the measurement data monitored
  •       Integration of IoMT medical sensors

Personalized management of CHF patients

 

  •       Novel telemedicine-based CHF management system
  •       Automated management of medical therapy
  •       Telemonitoring of vital parameters
  •       Alerting the medical staff of the developing CHF deterioration
  •       Data base ready for predictive analytics and suggestions for appropriate therapeutic measures/interventions