A data-driven way to deal with ailing baby boomers
As America’s 70 million baby boomers hit their “disability-prone years,” the Social Security Administration is looking for a leg up to help it handle ever more disability claims and hearings.
According to SSA's May 5 request for information, its disability workload is already its most complex program, consuming over half of its operational work-years and running at an annual administrative cost of about $10 billion. As the population ages, the agency expects the number of claims to increase.
To get ready for the high tide of disability claims in the next decade, SSA is looking for an end-to-end software solution that allows it to receive and process documents based on business rules and that gives end users a web-based view of the data against which they can search and run reports.
The solution SSA envisions uses machine learning and natural language processing as well as viewing and reporting capabilities to find and extract text from unstructured data – such as images or PDFs of medical evidence or the text from disability hearing decisions. Additionally, the technology must be able to identify key metadata so SSA staff can classify the data and run various analyses. SSA also wants application programming interfaces built into the software so it can more easily process, extract and transform data.
The solution will be integrated into the business process to support real-time document processing as well as batch processing, SSA said.
SSA’s broader Disability Case Processing System has a rocky history and has been under scrutiny from Congress.
More information is online here.