Developed a Natural Language Processing Solution for Leading Medical Equipment Manufacturer

Technology Used

Front End: ReactJS

Back End: Spring, Java, AWS, TDD, JAX-RPC, XML

Customer Profile

Emphasizing science in what they create, the customer is a global manufacturing company with offices in 70 countries, producing abrasives, passive fire protection, personal safety equipment, dental and medical products. Evolution in health care industry has become inevitable. To improve the lives of millions with their collaborative way of innovation, the customer was looking for a solution to enhance their process of getting the right information to the right people.

What was the problem?

  • Unavailability of a customized user centric application that provides access to the relevant data to eliminate administrative costs and automate care processes
  • Huge gap between clinical (care) and billing (cost) data
  • Customer required a Natural Language Processing (NLP) solution which would identify the tokens for coding from the documents

How did we help?

  • Congruent provided a user interface developed in ReactJS, which facilitates the user to access information about patients stored in the form of registries
  • Enabled Users can apply universally accepted SNOMED codes to the annotations identified by the Natural Language Processing solution
  • The solution bridged the gap between billing and care departments

Impact & Benefits

  • Data mining process automation and abstraction for eligible registry patients
  • Complete and consistent data collection
  • Decreased data collection time
  • Highlight areas of documentation clarification
  • Increased opportunity for targeted care improvements

Key Challenges

  • Coordinating with multiple applications for coding documents
  • Adapting to new continuous integration tool, black bird

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