Case Study

DocumentReader Displaces Underperforming Technology At Healthcare BPO

Source: A2iA Corporation

A2iA is the worldwide leading developer of cursive handwriting and machine-printed text recognition, and intelligent document classification software. With a focus on research and development, all technology is built in- house without the use of third-party engines, allowing for customization and complete control over its capabilities.

A leading business process outsourcing firm (BPO) that focuses on the healthcare space contacted A2iA regarding the automatic routing, or indexing, of medical documents, including handwritten physicians’ notes, clinical documentation, and complex requisition forms. Although the BPO was already utilizing a classification engine, they were not satisfied with its performance.


Each morning the BPO would receive boxes of paper documents from their providers’ facilities. To prepare each box for delivery, the facility would first sort the documents by patient and then by type of visit: emergency, in-patient/out-patient, etc. Once received at the BPO, the documents were further sorted by hand based on their categorization: administrative, oncology, anesthesia, etc. and then again based on their document type within each category.

Although classification software was being utilized in- house, the BPO was not satisfied with its results and sought to find an easier-to-use, higher performing solution.

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