Informatics Research on Mental Health Functioning: Decision Support for the Social Security Administration Disability Program.

Psychiatr Serv

Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland (all authors); Department of Psychiatry, University of Maryland School of Medicine, Baltimore (Goldman); Department of Computer Science, Johns Hopkins University, Baltimore (Zirikly); Department of Occupational Therapy, Tufts University, Medford, Massachusetts (Marfeo); Department of Physical Therapy, University of Pittsburgh, Pittsburgh (McDonough).

Published: January 2023

AI Article Synopsis

  • The Social Security Administration (SSA) assesses work-related functioning for individuals claiming disability due to mental impairments, which is complex due to the large amount of information involved.
  • To enhance the decision-making process, SSA partnered with the National Institutes of Health to leverage data science and develop decision support tools.
  • This collaboration has led to the creation of the Work Disability-Functional Assessment Battery and the use of natural language processing to better evaluate mental health information in claimants' files, aiming to improve disability determinations.

Article Abstract

The disability determination process of the Social Security Administration's (SSA's) disability program requires assessing work-related functioning for individual claimants alleging disability due to mental impairment. This task is particularly challenging because the determination process involves the review of a large file of information, including objective medical evidence and self-reports from claimants, families, and former employers. To improve this decision-making process, SSA entered an interagency agreement with the Rehabilitation Medicine Department, Epidemiology and Biostatistics Section, in the Clinical Center of the National Institutes of Health, intending to use data science and informatics to develop decision support tools. This collaborative effort over the past decade has led to the development of the Work Disability-Functional Assessment Battery and has initiated an approach to applying natural language processing to the review of claimants' files for information on mental health functioning. This informatics research collaboration holds promise for improving the process of disability determination for individuals with mental impairments who make claims at the SSA.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501504PMC
http://dx.doi.org/10.1176/appi.ps.202200056DOI Listing

Publication Analysis

Top Keywords

mental health
8
health functioning
8
decision support
8
social security
8
disability program
8
disability determination
8
determination process
8
disability
5
informatics mental
4
functioning decision
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!