Case Study: a leading healthcare provider automates medical referral extraction with EXL Health's real-time NLP solution

Creating a real-time natural language processing framework in weeks

EXL helped a leading healthcare provider tackle the manual review of unstructured medical referral requests. The provider needed a way to extract relevant information from up to 10,000 documents per day and improve processing speed, so it partnered with EXL Health for a more automated back-end approach.

EXL Health built a real-time natural language processing framework in weeks, using OCR to pull text from PDF images and NLP to extract and load data into downstream care systems. The solution added real-time monitoring, operator alerts, and a 3% manual quality review sample, and within a month EXL successfully helped the client automate a time-intensive process while preventing bad data from flowing through the system.