Case Study:

HealthCare and GenAI

OVERVIEW

Transforming clinical documentation workflow using GenAI. Now 75% faster, with more time to focus on the patient.

BEFORE :

  • Legacy provider notes workflow 
  • Slow transcription time 
  • Delayed availability

AFTER :

  • 75% faster 
  • Increased notes accessibility 
  • Real-time summarization

” Building a new clinical documentation workflow — now 75% faster, more patient-focused “

NEED

The client is large healthcare provider in the US and their business goal was to implement a feature to record audio and send it to the backend for processing. The backend then would utilize AI technology to generate dynamic summaries along with transcripts and audio links. These resources would then be securely stored and shared with end-users for their reference and convenience.

TECH STACK

  • Flutter Web and Mobile UI
  • Microservices-based Architecture
  • AWS Infrastructure and Services like Lambda, S3, RDS, Redis
  • Chat GPT API integration

SOLUTION

Created a new mobile app using Flutter

  • Addressed the challenge with a large language model (LLM) for transcribing discussions between physicians and patients.
  • Audio recording supported natively by Flutter, allowing a seamless user experience within the application.
  • The summarization process uses Azure OpenAI services for language capability to create concise, informative summaries, capturing essential details into clinical SOAP format.
  • Summarize conversations including medical history, symptoms, diagnoses, and treatment plans.
  • All the details are then sent back to a mobile app which further generates a secure link to the original audio file and transcripts.

RESULTS

  • End users can access and download summarized medical information
  • Achieved a 75% reduction in documentation workload, with the remaining 25% involving image scans
  • Enabled real-time generating summaries concurrently during consultations
  • Streamlined document accessibility
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