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Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability Program.

Qingqi Yue¹, Ao Yuan¹, Xuan Che¹

¹Epidemiology and Biostatistics Section, Rehabilitation Medicine Department, Clinical Center, National Institutes of Health, Bethesda MD 20892, USA.

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|October 18, 2016

Summary

This summary is machine-generated.

The Case Status Change Model (CSCM) project addresses Social Security Administration backlogs by estimating case service times. This method improves the disability hearings and appeals process by analyzing batch data patterns.

Keywords:

Case Processing and Management System batch information matrix batch model batched timestamps data constrained least squares estimation disability determining process service time

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Area of Science:

Operations Research
Public Health Policy
Data Science

Background:

The Office of Disability Adjudication and Review (ODAR) faces significant backlogs in processing disability claims.
The Case Processing and Management System (CPMS) records case status but may have imprecise timestamps.
Accurate estimation of service times is crucial for managing ODAR's workload.

Purpose of the Study:

To develop a model for estimating service times and their variations for ODAR case statuses.
To address the challenge of potentially inaccurate job departure times in the CPMS data.
To reduce backlogs and improve the efficiency of the disability hearings and appeals process.

Main Methods:

Developed a Case Status Change Model (CSCM) incorporating a batch model approach.
Applied constrained least squares to estimate mean service times and variances from batch-patterned data.
Designed a batch search algorithm to identify optimal batch partitions in the absence of explicit data.

Main Results:

The proposed batch model and constrained least squares method effectively estimate service times and variances.
The batch search algorithm successfully determined optimal partitions for analyzing real-world data.
Simulation studies validated the performance of the developed methods.

Conclusions:

The CSCM project provides a robust method for analyzing ODAR case processing times.
Accurate service time estimation is key to reducing disability claim backlogs.
This approach offers a data-driven solution for improving the efficiency of the Social Security Administration's disability determination process.