Phase 4. Automated Transport App - codebase implementation
Project scope
Categories
Data analysis UI design Product or service launch Software development DatabasesSkills
strategic decision making codebase python (programming language) django (web framework) analytical dashboard sql (programming language) react.js (javascript library) front end (software engineering) management wireless paging systemsWe are working to provide hospitals and clinics with an application that will automate and standardize transporting requests. This application will allow employees to input requests to Transporters, so that patients can come down for their diagnostic imaging test. Transport requests need to work similar to uber where they can be tracked and estimated arrival times are displayed. Currently this is very time consuming using a conventional paging system.. By utilizing our transport app, management can create strategic decisions based on the live analytics dashboard. We’ve aligned our core competency with their ever-evolving initiatives related with COVID-19, and plan to integrate automated email reports.
-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 be able to integrated with our calendar in react.
-Similar front front end as uber.
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.