AISmartz

About the client

VAIM Technologies wanted to simplify the point-of-care experience for both patients & caregivers, and optimize hospital workflows with a comprehensive speech-to-text assistant for surgeons. This was an AI based real-time learning capable voice assistant that could prompt, take commands, snapshots, and record operative procedures on the go. The objective was to reduce the time involvement of medical staff in record keeping and operative reports before, during, and after the surgeries.

Project Goals

Our client wanted to simplify the point-of-care experience for both patients & caregivers, and optimize hospital workflows with a comprehensive speech-to-text assistant for surgeons. This was an AI based real-time learning capable voice assistant that could prompt, take commands, snapshots, and record operative procedures on the go. The objective was to reduce the time involvement of medical staff in record keeping and operative reports before, during, and after the surgeries.

Help surgeons using microphones to dictate operative procedures and findings during the surgery using voice commands.

Auto-generate post-operative reports according to surgery respective templates using AI model analysis.

Capture images and predefined length videos using cameras fixed at vantage points.

Extract clips from surgical procedures at any time using a live stream, and add subtitles for future study/reference and operative reports.

Rate surgical precision through videos for internal ratings of doctors, and there on a model analysis of their skill set expertise across different types of surgeries.

The Challenge

To find the best service that can be used to build a voice assistant based on the accuracy of speech-to-text translation, identifying reasons for low speech-to-text conversion accuracy, and implement best practices to develop an exhaustive market ready assistant. The task at hand was to not only data transcription, but also give consultation and provide for an extended development team to code exhaustive features such as inbuilt check on command hierarchy, real time audio processor with response and error messages, command edits, post operative report simulation, etc.

The Solution

After evaluating several speech-to-text services like Amazon Transcribe and Nuance Dragon, we chose and recommended Google Cloud Speech-to-Text because of its high accuracy and features such as speech adaptation, use-case specific pre-trained ML recognition models, and freedom to optimize the on-premise module.

Our programming language of choice was Python, with a solution designed to convert speech to text over a real-time audio stream. By leveraging the transcriptions that contained commands and other dictations, images captured from the video stream and clip extraction; operative findings, and procedures were calculated. A live form was made available to the surgeon after the operation where one could dictate the post-operative report, and use predefined macros to cut on repetitive sections.
As part of our consultation and work on future roadmap, AIsmartz will be working on an intelligent text post-processing library which can understand the context and optimize text. Also, the software upgrades would use specialized APIs as Transcription Engines to optimise further on use case vocabulary in sync with user medical research.

The Results

AIsmartz NLP experts and labeling teams have years of experience working on similar projects. We leveraged the best-automated transcription tools to ensure high accuracy of the transcribed files, and delivery of intended goals with the developed software.

Our vast transcription expertise has been beneficial both cost-wise and time-wise for the client. With a wide pool of skilled resources at our disposal, we made sure that the accuracy of the task was unparalleled and that the quality of transcripts was at scale and par with the standards of the client.

At AIsmartz, we understand that different types of data have different transformation needs. We incorporate the best data enrichment and transcription practices to translate your data into a fuel that will drive your business towards success.

Drop us a line to know how you can achieve seamless data transformation.

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Our Client's Speak

Jack

Co-Founder
VAIM Technologies

“When I initially approached AIsmartz, my focus was only to avail their expertise in speech-to-text transcription services. But, with their recommendations based on the use case task analysis, I was convinced to seek their support on complete development of our AI based surgical voice assistant.”

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