Phase 4.2 - Automated Scheduling/Staffing App

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
python (programming language) django (web framework) scheduling sql (programming language) react.js (javascript library) front end (software engineering) management
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 staffing requests. This application will allow Supervisors to input requests for healthcare staff and allow them to fill vacancies automatically by pre defining the parameters the app needs to execute.. Staffing requests currently are very time consuming. By utilizing our staffing app and other creative logic, we plan to automate all the mundane tasks in-between employees and management. We’ve aligned our core competency with their ever-evolving initiatives related with COVID-19, and plan to integrate automated response's when staff call in sick.

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

-This app needs to be started from scratch, using react front end, django, Python and SQL database.

-we need to be able to access from mobile and desktop.

-It needs to have fields where we can set the parameters we need the app to execute on.

How will you support learners in completing the project?

RAIN team members will be available 24/7. We're committed to accomplishing our goals.

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.