About Virtual Nomad

Virtual Nomad provides end-to-end software development services to help healthcare organizations streamline data management and unlock efficiencies with cloud. We help healthcare companies to navigate their digital transformation journeys by developing forward-looking solutions and providing consulting services that nurture innovation and enable business continuity.

We are a close-knit team of 70+ best-in-class software developers and consultants located in USA, Canada, Poland and Georgia. The company is certified according to ISO 9001:2015 and ISO 27001:2013 standards. With years of continuous collaboration on a range of software development projects, we know both our craft and one another inside out.

Locations

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Headquarter
  • Location

    13624 Tamiami Trail North Port Florida United States 34287

  • Location

    +18332783946

Certificate

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Focus Area

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Virtual Nomad's Technical Expertise

Java 15%
PHP 10%
Javascript 10%
AngularJS 5%
C# 5%
Python 10%
Ajax 5%
Node.js 5%
.NET 5%
Laravel 5%
Symfony 2%
Django 2%
ReactJS 2%
Amazon API 2%
Apache Maven 2%
Apache Tomcat 2%
Hibernate 2%
jQuery 2%
Linux 5%
MongoDB 2%
React Redux 2%

Focus Client

  • Small Business (<$100000) 100%

Virtual Nomad's Industry Expertise

  • Healthcare & Medical 100%

Portfolio

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IoT-based Healthcare Patient Monitoring

Challenge In this R&D project, we wanted to exercise our IoT and ML expertise by developing a road stress detection system. The idea was to use IoT and ML to detect parts of the road network that cause the most stress for drivers, and use the solution’s architecture as a blueprint for future healthcare projects. Solution We assembled a small focus group of drivers, who also happened to be our colleagues. To measure stress levels, we equipped drivers with wristband heart-rate monitors, which are connected to a smartphone app via Bluetooth. Smartphones continuously collect data from heart-rate monitors and send it to the server via a Constrained Application Protocol (CoAP). After reaching the MongoDB database, an ML model processes this data to detect sudden jumps in heart rate. To ensure that the system can scale on-demand for bigger projects and can efficiently process large amounts of data incoming from thousands of sensors, we used Apache Kafka. By aligning heart rate deviations with GPS data, it becomes possible to detect which exact parts of the route cause the most stress for drivers. To visualize heart rate data and stress zones we built a web-based application. Result We built an MVP of a healthcare patient monitoring system, which we tested as a road stress detection platform. With an inadequately small sample size, we found out that drivers were stressing the most on a difficult intersection, and, quite amusingly, near office and home. The architecture of this IoT-based solution can serve as a blueprint for future healthcare systems that require remote patient monitoring at scale. Read More

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Industry

Healthcare & Medical

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Budget

$0 to $10000 USD

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Timeline

30 weeks

IoT-based Healthcare Patient Monitoring

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