Wockhardt Hospitals scales AI-assisted clinical documentation with ElevenLabs

Wockhardt Hospitals is a leading quaternary care healthcare provider in India, operating a network of JCI and NABH accredited multi-specialty hospitals. The group delivers advanced clinical services across cardiology, neurology, orthopedics, oncology, critical care, and other specialties.

As part of its digital transformation strategy, Wockhardt Hospitals has been investing in AI systems that improve clinical workflows, documentation quality, and patient experience. A key initiative is ClinicIQ, their AI-assisted clinical documentation platform designed to support doctors during live outpatient consultations.

From smart pen documentation to real-time transcription

Before deploying AI-assisted transcription, Wockhardt Hospitals used a digital documentation platform that captured handwritten prescriptions using a smart pen and coded paper system to generate structured electronic medical records. It relied on manual writing input and specialized hardware, which introduced precision challenges and workflow dependency.

As consultation volumes increased and multilingual complexity grew, the team sought a solution that could capture clinical information directly from natural conversation, without requiring additional hardware or writing effort.

To address this, Wockhardt Hospitals integrated Scribe v2, our Speech to Text API, enabling real-time transcription of doctor-patient conversations.

Capturing multilingual doctor-patient conversations

In Indian clinical environments, consultations often switch between English and regional languages, with varying accents and natural conversational styles. Accurate transcription in this setting requires robust handling of multilingual, conversational speech.

Wockhardt Hospitals’ primary use case is real-time transcription of doctor-patient conversations during outpatient visits. Doctors speak freely with patients while the system transcribes the interaction in near real time. The transcription is then processed through ClinicIQ’s AI pipeline to automatically generate structured medical documentation.

Consultations often include detailed clinical terminology, medication names, and dosage instructions. For example,

• "Metformin 500 mg twice daily"
• "amlodipine 5 mg once daily" or
• "uncontrolled hypertension"
• "Type 2 diabetes"

Accurate recognition of this terminology is critical to generating structured medical records without manual correction.

This workflow now enables:

• Reduced manual documentation effort for doctors
• More consistent and complete clinical records
• Preservation of the natural doctor-patient interaction

The system is currently deployed in a live hospital environment and is being expanded across additional clinical units within the Wockhardt Hospitals network.

Here is a sample recording of a mixed Hindi-English doctor-patient consultation, transcribed and translated into structured patient assessment data.

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Measurable impact in live consultations

Accurate transcription is foundational for downstream clinical AI systems. With improved speech recognition performance, Wockhardt Hospitals improved both documentation completeness and structured data capture.

In a pilot across multiple doctors, they observed:

• 62% average improvement in consultation documentation coverage compared to their earlier workflow
• 8% increase in structured clinical lead capture during consultations

These results demonstrate how reliable, low-latency transcription can improve clinical record quality while allowing doctors to maintain natural conversations with patients. In such live hospital settings, speech recognition can become the foundation for AI-assisted clinical workflows at scale.

Fast integration into hospital systems

While evaluating speech technologies for ClinicIQ, Wockhardt Hospitals assessed multiple providers. ElevenLabs stood out for transcription accuracy, multilingual robustness, and low latency in real-world consultations.

The setup process allowed the team to integrate high-quality speech transcription into its existing architecture and move from testing to production inside a live hospital environment without long implementation cycles.

End-user confidence is critical in clinical technology. Consistent transcription quality and low latency allowed our doctors to trust the system during live consultations, which made adoption much easier

- Vikram Singh Rathore, Head – Digital Business Transformation, Wockhardt Hospitals.

Responsible AI in live healthcare environments

Wockhardt Hospitals is actively exploring how AI technologies can be embedded into live healthcare environments to enhance care delivery while minimizing complexity for doctors, nurses, clinical support teams, and patients.

Healthcare globally is entering a phase where clinical excellence must be supported by intelligent digital infrastructure. AI-driven documentation tools can play a transformative role in enabling doctors to spend more time with patients while maintaining structured, high-quality medical records. Our collaboration with technology partners like ElevenLabs is part of our broader vision to responsibly integrate AI into real clinical environments

- Ms. Zahabiya Khorakiwala, Managing Director, Wockhardt Hospitals.

ClinicIQ platform now being expanded across additional clinical units within the Wockhardt Hospitals network, with further integrations planned across hospital systems and care workflows. The goal is to build an AI-enabled clinical infrastructure that allows healthcare professionals to focus more on patient care while technology supports documentation, data capture, and operational efficiency in the background.

Building AI infrastructure for modern healthcare

As healthcare systems digitize, the ability to capture high-quality structured data during routine clinical interactions becomes essential.

Wockhardt Hospitals’ deployment of our Speech to Text API within ClinicIQ shows how accurate transcription can serve as the foundation for AI-assisted documentation in high-stakes, real-world environments.

Teams building healthcare platforms, AI scribes, or clinical workflow tools can explore our Speech to Text API to power reliable transcription in multilingual, production-grade healthcare environments.

If you are deploying AI in healthcare or other mission-critical environments, contact our team to learn more.