RAPID: Bridging the Health Care Skill Gap
This project aims to serve the national need of increasing the capacity of more qualified healthcare providers to address the challenge of COVID-19. By developing and deploying web-based tools that individuals and employers can use to explore healthcare-related competency frameworks, self-identify skill gaps, and find credentials and training, this project seeks to fill gaps in the healthcare workforce.
National Science Foundation
CEO, Eduworks Corporation
Professor, Workforce Education and Instructional Technology
Assistant Vice Chancellor for New Learning Models, University System of Georgia
Visit the Project Website
These tools will help individuals identify healthcare areas where they have adjacent skill sets and will also help companies identify employees who are candidates for upskilling into healthcare. Once individual skills are inventoried, the tool will help users identify where they can obtain the requisite healthcare skills and credentials. The tool will be usable on desktop and mobile devices which broadens the reach of this project.
This project seeks to address the COVID-19 crisis by providing end-users with the ability to compare their own skills with those required for available healthcare roles and credentials and, in some cases, find ways to fill gaps. The frameworks and related credentials will come from the Credential Engine and additional data will come from the Open Syllabus Project. This project will apply artificial intelligence (AI), specifically natural language understanding (NLU), to:
- Crosswalk competency frameworks associated with these credentials
- Compare skills entered by users to those required to earn those credentials
- Generate an “alignment score” that measures and quantifies the gap between the two skill sets
- Suggest courses and credential programs with the potential to close those gaps
This will contribute to research into applications of NLU to competency-based credentialing and training and will provide data in a concrete domain (healthcare). Including validation and sharing of the underlying competency framework translation and alignment score services via an open data infrastructure will improve our nation’s healthcare talent pipeline.