How HealthPlix turns doctor consultations into medical records with Sarvam
Sarvam and HealthPlix go behind the scenes on how HALO uses speech recognition to turn doctor-patient conversations into medical records at scale, across languages, specialties, and the demands of a live OPD.
Event content
Doctors in India still spend valuable time creating medical records manually. HealthPlix built HALO with Sarvam’s Speech to Text Model to turn doctor-patient conversations into medical records at scale.
In this session, Sehaj Virk, Head of Model APIs at Sarvam, sits down with Chaitanya Raju, CPO at HealthPlix, for a behind-the-scenes look at how HealthPlix embedded Sarvam’s speech recognition into HALO to power real-time medical records across languages, specialties, and live doctor-patient conversations.
What we’ll cover:
- Why voice AI is a hard problem inside Indian OPDs, and where global ASR systems fall short
- How HALO handles code-switching, regional accents, clinical shorthand, and Indian brand-name medications in real time
- The accuracy and latency bar a real consultation demands, including 97%+ prescription accuracy
- What adoption looks like in practice - 50,000+ consultations completed, with doctors saving around 5 minutes per consultation
For anyone building speech recognition, healthcare AI, or voice-led workflows in India, this is a real look at what production actually takes.
Recording
Summary
Go from idea to production Start shipping today.
Go from idea to production
Start shipping today.