Project Summary: Design a software solution to assist hospitals in predictive staffing recommendations for nurse leaders across units and departments. Use an established algorithm that calculates functional time of nurses, volume of patients, and turnover trends to forecast hiring gaps and surpluses.
Project Overview
A group of nurse leaders from Duke University Hospitals wanted a simpler and more consistent way use the algorithm they used to asses the hiring needs across units and departments.
PROJECT CHARACTERISTICS
- Medium to High level of complexity.
- Interactive Data Visualizations.
- Direct User Interaction & Collaboration.
- Rapid Wireframing / Prototyping for Product Design Iteration.
- Present & Demo Directly to Key Stakeholders.
- Develop and Prioritize User Stories for Release Roadmap.
KEY PRODUCT FEATURES
- SAS Conceptual Model.
- Multiple Levels of User Permissions.
- Organization of Complex Data Sets.
- Filter, Sort, & Search Design.
- Dashboard Design.
- Advanced User Settings Input Design.
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