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Executive Summary
The client wanted us to develop an application that would help them automate the high volume and arduous task of extracting data arriving from multiple sources and assist in claim processing. We built them a solution that extracts data from the ROI request forms, presents it to an operator for validation, and after doing so passes the results back to ROI Online through its API. Mindfire Solutions has implemented custom machine vision, natural language processing (NLP), and Robotic Process Automation (RPA) within the application to facilitate attended automation of the logging-and-assignment workflows. The logging-and-assignment application also enables the operator to pragmatically forecast the productivity gains that automation yields when deployed at scale on the Kubernetes cluster.
About our Client
Client : Confidential
Location: USA
Industry: Healthcare
Technologies
Python, Django, GraphQL, Vue.js, PWA, Azure, REST, Azure SQL, Google Vision, Amazon Textract, Solr, GIT, Docker, Kubernetes, Azure Key Vault, Azure BLOB storage, Jenkins
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