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

被引:0
|
作者
Goldman, Howard H. [1 ,2 ]
Porcino, Julia [1 ]
Divita, Guy [1 ]
Zirikly, Ayah [1 ,3 ]
Desmet, Bart [1 ]
Sacco, Maryanne [1 ]
Marfeo, Elizabeth [1 ,4 ]
McDonough, Christine [1 ,5 ]
Rasch, Elizabeth [1 ]
Chan, Leighton [1 ]
机构
[1] Natl Inst Hlth Clin Ctr, Rehabil Med Dept, Bethesda, MD 20892 USA
[2] Univ Maryland, Sch Med, Dept Psychiat, Baltimore, MD 21201 USA
[3] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA
[4] Tufts Univ, Dept Occupat Therapy, Medford, MA 02155 USA
[5] Univ Pittsburgh, Dept Phys Therapy, Pittsburgh, PA USA
关键词
PHYSICAL FUNCTION INSTRUMENT; ITEM POOL CONSTRUCTION; SYMPTOM SEVERITY; DETERMINANTS;
D O I
10.1176/appi.ps.202200056
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:56 / 62
页数:7
相关论文
共 50 条