When the healthcare tech company approached us with this challenge, we started with the discovery exercise as the first step in the service design and delivery process. We had done our research around understanding the problem statement in-depth – what they had been struggling to achieve, how they had been functioning so far, and what was their broader business objective.
Combining our experience and expertise in healthcare with the insights drawn from this detailed evaluation, we proposed a strategy that defined how the client could overcome their business challenge. Following this, we presented a proof of concept to demonstrate the potential value of our solution.
Assured by the evaluation and proof of concept provided, the client awarded the project to us. Our solution was an AI-powered automated medical coding platform that enabled healthcare providers to empower their medical coders to code more efficiently and accurately.
Powered by Natural Language Processing, our solution was able to understand the content of the EHR document and compare it against that
in the ICD Tables to find the most relevant ICD code for the diagnosis that is presented in the EHR document. Additionally, leveraging the cognitive automation capabilities, it could extract medical data automatically from discharge summaries, test reports, free-text clinical notes by doctors, and other such narrative data. This saved both time and effort for the medical coders.