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A medical transcription SaaS that converts doctor-patient conversations in any language into structured summaries and actionable items.

Case image
Case image
Case image

The challenge

Healthcare providers needed a way to convert doctor-patient conversations into clinical documentation without slowing down care delivery. Manual transcription was time-consuming, and existing solutions struggled with multilingual support, especially for Indian languages. Doctors spent hours on documentation instead of patient care, and important details often got missed in handwritten notes.

Our strategy

We built Meduno, a medical transcription SaaS platform that processes doctor-patient conversations in any language and converts them into structured clinical summaries with actionable items.

Our approach included:

  • Building multilingual speech-to-text pipelines supporting Indian and global languages

  • Creating clinical entity extraction to identify diagnoses, medications, and symptoms

  • Designing summarization workflows that generate structured clinical notes

  • Implementing actionable item detection for follow-ups, prescriptions, and tests

  • Ensuring HIPAA-ready security and data handling

The results

  • Multilingual support across English, Hindi, and other Indian languages

  • Automated clinical documentation from conversation to structured summary

  • Actionable item extraction for prescriptions, follow-ups, and tests

  • Faster documentation workflow reducing hours of manual work

  • Production-ready system deployed in real clinical settings

This focuses on what makes Meduno valuable: multilingual transcription, structured output, and actionable items. Clean and direct. Good?

Multilingual conversation processing

Multilingual conversation processing

Structured clinical summaries

Structured clinical summaries

Automated actionable item extraction

Automated actionable item extraction

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