Phase 2 Project Implementation

Closed
Radiology Artificial Intelligence Network
Winnipeg, Manitoba, Canada
CS
CEO
(13)
4
Preferred learners
  • Canada
  • Academic experience
Categories
Data analysis UI design Product or service launch Software development Databases
Skills
business analytics interface design mongodb heroku sql (programming language) artificial intelligence
Project scope
What is the main goal for this project?

We are working to provide hospitals and clinics with an application that will automate and standardize the outdated procedure currently being used to request diagnostic examinations. This application will allow Physicians to input requests for diagnostic imaging and allow the receiving Imaging department to know exactly what to do when a request is received. Processing imaging requests in the current environment takes copious amounts of time and working hours/days. By utilizing AI and other creative logic, we plan to automate all the mundane tasks in-between the Physician requesting the test and the receiving department. We’ve aligned our core competency with their ever-evolving initiatives related with COVID-19.

Due to COVID-19 restrictions all work for this practicum will be completed remotely. The project's academic supervisor will be (Craig Snell)

What tasks will learners need to complete to achieve the project goal?

- Convert Mongo DB to SQL

-Upload project and all the applications to Heroku in order for us to run on apache serveron Windows.

-Build business analytics tool with automatic email reporting.

-Features that give a baseline of functionality such as tailoring the worklists

-Creating basic interface design for business analytics app.

About the company

Radiology AI Network (RAIN) is a team of healthcare professionals looking to automate the workflow within healthcare departments. Building a program that allows mangers and supervisors to process diagnostic imaging requisitions and run algorithms with analytics for healthcare organizations.