Work ACCESS
The Workplace Accommodation Expert Support System
Work ACCESS
The Workplace Accommodation Expert Support System
Most workplace accommodations are determined by employers and/or the employees themselves. Unfortunately, these groups lack information about the full range of accommodation options that are available, and lack information about what options work best in which situations.
Work ACCESS is an easy-to-use workplace accommodation assessment system that helps employers and employees make more informed accommodation decisions.
- The system collects information about a person’s functional limitations, work tasks, and personal/environmental factors (e.g., uses a shared workstation).
- It uses decision trees developed through crowd sourcing to offer suggestions for appropriate accommodations.
- All possible accommodation matches are shown, and they may include policy changes, assistive technology, facility modifications, strategies, and/or universal features.
- The system recommends product types / features, rather than specific products, but provides external links for more information.
- Since the system is designed to be used by people who may not be familiar with workplace accommodations, it includes cautions that an outside expert should be consulted when an accommodation is more complex or has medical implications.
Next Steps
- We continue to add accommodation ideas and related resources to Work ACCESS.
- We are completing usability testing as well as field testing.
- As part of the ACCESS-PD RRTC, we will be evaluating the efficacy of Work ACCESS within the vocational rehabilitation system.
Papers & Presentations
Milchus K., Phillips C., Bunn D., Endicott S., Harris F., Holder T., Linden M., Persaud L., Satterfield R., and Wilson R. (2020, September). Work Access: The Development of Workplace Accommodation Decision Trees, in Proceedings of the RESNA 2020 Conference. Washington, D.C. View Presentation
Milchus, K. & Phillips, C. (2019, June). New Crowd-Sourced Tools to Inform Workplace Accommodation Decisions, in Proceedings of the RESNA 2019 Conference. Toronto, Canada. View Paper
Acknowledgements
This research was conducted under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR grant #90DPEM0001). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS).
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