Healthcare GenAI Case Study: Clinical Documentation Automated in 2 Minutes

Customer Challenges

Prudent faced several operational inefficiencies in clinical documentation:

• Manual transcription and translation consumed significant time for each patient.
• Multiple staff were needed to generate and verify English clinical reports.
• Report quality and clarity varied across departments due to manual processes.
• High documentation time affected provider productivity and slowed clinical workflow.
• Manual processes made scaling operations across multiple branches difficult.

ITTStar's Solution

ITTStar designed a fully automated, secure Generative AI pipeline running on AWS serverless services. The solution includes:

• 1. Automated Speech Capture & Transcription :
  • Captures doctor–patient conversations in real time.
  • Converts Hindi speech into high-quality text transcripts.
  • Handles medical vocabulary and multi-speaker scenarios.
• 2. Medical Language Processing:
  • Identifies symptoms, diagnoses, medications, vitals, and assessments.
  • Standardizes terminology to maintain consistency across departments.
  • Performs contextual extraction tailored for clinical workflows.
• 3. LLM-Based Clinical Report Generation:
  • Generates structured, section-wise English medical reports.
  • Ensures clear formatting: patient summary, complaint, findings, diagnosis, treatment plan.
  • Reduces post-editing effort and improves report consistency.
• 4. Secure Serverless Workflow :
  • Built with AWS Lambda, API Gateway, S3, and EventBridge.
  • End-to-end encryption and role-based access control.
  • Automatically queues, processes, validates, and delivers reports.
  • Provides audit logging and operational monitoring through CloudWatch.
• 5. Multi-Format Output Generation:
  • Supports downloadable PDF and structured JSON.
  • Integrates easily into Prudent’s existing workflows and future EMR expansion.

Results & Impact

After implementing ITTStar’s Generative AI solution, Prudent achieved:

• Documentation time reduced from 6 hours → under 2 minutes
• Accuracy improved from ~85% → ~90%
• Over 90% reduction in manual transcription and formatting work
• Faster clinical workflow and improved doctor productivity
• Standardized reports across departments
• Scalable architecture supporting future expansion

Business Value Delivered

• Significant reduction in repetitive manual work
• Consistent, high-quality English medical reports
• Faster turnaround for patient documentation
• Improved operational flow for doctors and staff
• Strong foundation for future AI enhancements (triage, clinical summarization, EMR integration)

Conclusion

Prudent’s adoption of AWS Generative AI, implemented by ITTStar, successfully transformed its clinical documentation process from a slow, manual workflow into a fast, automated, standardized system.The project showcases how modern AI pipelines built on AWS can streamline healthcare operations, improve documentation quality, and support scalable clinical modernization—while maintaining security, reliability, and operational efficiency.