Use of Artificial Intelligence to Enhance Case Management and Job Development Practices in Rehabilitation Counseling

Rehabilitation counseling (RC) aims to help individuals with disabilities achieve their personal, social, and vocational goals. Case management and job development are crucial elements of this process. This paper presents a systematic review and meta-analysis of studies on the application of Artificial Intelligence (AI) in case management and job development within RC. The main findings reveal that AI can streamline documentation, enhance assessment and planning personalize intervention strategies, improve job matching, and support long-term employment outcomes. Implications for the RC field and future research directions are also discussed, including potential challenges, ethical considerations, and the need for collaboration among researchers, practitioners, and policymakers.

Authors

Publication Details

Journal
The Rehabilitation Professional
Published
2025-11-08
DOI
https://doi.org/10.70385/001c.147043
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Use of Artificial Intelligence to Enhance Case Management and Job Development Practices in Rehabilitation Counseling

Christopher Skerritt, Daniel Wolstein
The Rehabilitation Professional
Artificial Intelligence in Healthcare and Education
article

Use of Artificial Intelligence to Enhance Case Management and Job Development Practices in Rehabilitation Counseling

Christopher Skerritt, Daniel Wolstein
article en

Abstract

Rehabilitation counseling (RC) aims to help individuals with disabilities achieve their personal, social, and vocational goals. Case management and job development are crucial elements of this process. This paper presents a systematic review and meta-analysis of studies on the application of Artificial Intelligence (AI) in case management and job development within RC. The main findings reveal that AI can streamline documentation, enhance assessment and planning personalize intervention strategies, improve job matching, and support long-term employment outcomes. Implications for the RC field and future research directions are also discussed, including potential challenges, ethical considerations, and the need for collaboration among researchers, practitioners, and policymakers.

The Rehabilitation ProfessionalVol. 31(2)
Openalex Percentile: Top 74%
Artificial Intelligence in Healthcare and Education
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