Phase 4.2 - Automated Scheduling/Staffing App
Portée du projet
Catégories
Analyse des données Conception de l'interface utilisateur Lancement d'un produit ou d'un service Développement de logiciels BasesCompétences
python (programming language) django (web framework) scheduling sql (programming language) react.js (javascript library) front end (software engineering) managementWe 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.
-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.
RAIN team members will be available 24/7. We're committed to accomplishing our goals.
À propos de l'entreprise
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.