End to End Automation of Entire Medical Transcription Workflow (Unstructured Medical dictation to Formatted Word documents)

BREXIT was looming large and the value pound was 20% down, good quality of medical transcribers were hard to come by in our UK clinical documentation company. In this context this very ambitious project of complete AI based automation of the Entire medical transcription workflow took birth. Medical Transcription involved many stages namely manual medical transcription of audio, proofreading, quality assurance and submission to client. I oversaw the speech recognition project where we developed our own models which reached 91% accuracy using state of the art deep learning models. I was given complete ownership of transforming speech recognition produced verbatim spoken text to fully formatted MS Word documents. Transforming pure raw text without any punctuation or signals to formatted documents was a very challenging task yet it was conquered using an optimal combination of conventional machine learning, deep learning and rule based systems. I single handedly designed and developed the complete infrastructure and software to accomplish this within six months time completely eliminating the manual processes except for some minor touch-ups and verification. Earlier a document used to take from two days to one week for submission we shortened the time to a few minutes giving a solid boost to the financials of the company when it needed it the most.