CompleteOR

CompleteOR is Digital Medical’s platform that streamlines inventory management and tracking of hospital equipment.

Client
CompleteOR
Product
iOS, Android App
Web Application
Industry
Healthcare
Vertical
HealthTech, IoT, SaaS
Headquarters
New York, NY
Company size
1-10

Key services

Product Consulting, System Architecture, Web Development, Mobile Development

goji labs partner digital medical

“Goji Labs has done an exceptional job at building our products and getting them to where they need to be today.

Their knowledge, timeliness, and thoroughness set them apart.”

Matthew Nicholson
CEO

About CompleteOR

Goji Labs’ and Digital Medical’s comprehensive and novel SaaS solution helped to streamline inventory management and tracking of hospital equipment.

The platform enables users to track the position of a piece of equipment live, providing a huge and sorely needed technical update for hospitals across the country.

Product Goals

  • Conceptualizing, designing, and high-fidelity wireframing
  • Prototyping and developing the CompleteOR web application

The Challenge

The founders wanted to build a comprehensive system that would perform indoor location tracking of surgical equipment in hospitals.

A service like this has many potential pitfalls; Bluetooth signals in active spaces, operating restrictions within hospitals, an industry that’s slow to change, and large, well-funded competitors—to name a few. We wanted to bring a novel solution to market that would undercut the cost of other product offerings and perform more reliably.

DELIVERABLES

Discovery

  • Research Report
  • Research Results
  • Key Areas of Opportunity

Design

  • User Journeys
  • Story Maps
  • Low-Fidelity Wireframes

.

  • Prototype
  • Usability Test Results
  • High-Fidelity Wireframes

The Process & Tech

We built a highly distributed system of Raspberry Pi receivers running a customized Linux environment. These receivers listen for Bluetooth signals from beacons attached to devices throughout hospitals and send them to a centralized system via WebSockets, which runs in AWS Elastic Container Service as Fargate instances. The system in AWS decides which beacon is in what room.

We developed an algorithm to make this determination efficiently across thousands of devices in an instant. This entire part of the system is written Go, and it pushes beacon positions to a Ruby on Rails application over a WebSocket, which records each position in a Postgres database. Users can watch the positions change live in their browsers in a floor map view, with no need to refresh the page, thanks to WebSockets’ push capabilities.

The Outcomes

We took a deep dive into a new set of technologies and set out to solve very difficult technical challenges. We developed a novel, scalable, and efficient solution, which has been successfully deployed in hospitals across the country.

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