Quick Summary
- Eka Care partners with NVIDIA to develop India’s first offline-capable, unified medical scribe.
- AI-powered solution enables real-time, voice-based clinical documentation without cloud dependency.
- Sovereignty-first approach prioritizing data privacy and India’s data governance framework.
Eka Care, a leader in AI-led digital health and connected care, has announced a transformational collaboration with NVIDIA to develop India’s first offline-capable, unified medical scribe. This strategic partnership marks a significant milestone in bringing advanced AI-powered documentation to healthcare practitioners across India, particularly in remote clinics where internet connectivity remains a challenge.
The initiative will leverage NVIDIA’s cutting-edge AI software and compute infrastructure to accelerate the development of Eka Care’s proprietary medical AI solutions. By combining Eka Care’s extensive clinical data expertise with NVIDIA’s AI infrastructure and domain knowledge, the partnership addresses critical challenges in healthcare: data privacy concerns, internet dependency, and the need for real-time, low-latency transcription.
Addressing India’s Healthcare Documentation Challenge
Medical documentation remains one of the most time-consuming aspects of clinical practice. Traditional approaches require doctors to spend significant time on administrative tasks, diverting attention from patient care. An offline medical scribe powered by artificial intelligence can transform this workflow by enabling real-time, voice-based clinical documentation that doesn’t rely on cloud connectivity.
Eka Care’s offline medical scribe represents a sovereignty-first approach to healthcare technology. Unlike cloud-dependent solutions that raise data privacy concerns, this model can operate entirely on a doctor’s mobile device, ensuring patient information remains secure and within India’s data governance framework. For remote clinics in rural areas, this offline capability eliminates the need for consistent internet connectivity, a critical barrier in many regions.
Read More: NVIDIA and Lilly Unveil $1 Billion AI Lab to Revolutionize Drug Discovery
Leveraging NVIDIA’s Advanced AI Architecture
The technical foundation of this collaborative initiative centers on NVIDIA’s latest AI infrastructure and models. Eka Care is utilizing NVIDIA NeMo Curator to refine and organize its massive dataset of Indian medical conversations. This specialized tool ensures the highest standards of data hygiene by cleaning and structuring clinical data for optimal machine learning performance.
One of the key technical challenges in developing specialized AI models is “catastrophic forgetting” a phenomenon where AI models lose previously learned knowledge as they acquire new skills. Eka Care is addressing this by integrating the NVIDIA Nemotron CC dataset for replay during the pre-training phase. This innovative approach ensures the resulting model remains robust and generalizable while becoming a specialist in complex medical terminology.
Speech recognition represents another critical component of the offline medical scribe. Eka Care is actively evaluating NVIDIA Nemotron Speech models, including Parakeet automated speech recognition (ASR), to power its end-to-end application. The goal is to merge ASR and Large Language Model (LLM) capabilities into a single, highly efficient architecture that reduces computational overhead without sacrificing clinical precision essential for running on mobile devices without external processing.
Read More: Eli Lilly Partners with NVIDIA to Build Pharma’s Most Powerful AI Supercomputer
Navigating India’s Unique Linguistic Landscape
Building an effective medical scribe for India requires navigating unique linguistic challenges. Indian doctors often use code-mixing—switching between English, Hindi, Tamil, Telugu, and other regional languages within a single patient conversation. Additionally, diverse accents and regional pronunciation variations must be accurately captured and transcribed.
Eka Care’s approach tackles these challenges head-on by training on authentic Indian medical conversations. The AI medical scribe is designed to understand not just standard English medical terminology, but also regional language variations and colloquial clinical expressions common in Indian healthcare settings.
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The Open Innovation Commitment
As part of its broader commitment to advancing Indian healthcare technology, Eka Care is exploring the potential open-sourcing of this consolidated offline medical scribe model. This approach aligns with global open-innovation practices and could accelerate adoption across India’s healthcare ecosystem.
Building a medical scribe for India requires navigating complex code-mixing and diverse accents. By collaborating with NVIDIA, we aren’t just improving our accuracy; we are building a sovereignty-first model that can live on a doctor’s mobile, independent of cloud connectivity. This is the future of secure, private patient documentation.
Vikalp Sahni
Accelerating India’s AI Startup Ecosystem
NVIDIA’s commitment to India’s AI startup ecosystem goes beyond this single collaboration. The technology company is actively accelerating innovation through multiple programs designed to support Indian entrepreneurs building global-scale solutions.
India’s AI startup ecosystem is primed for acceleration, driven by exceptional technical talent and global ambition,
NVIDIA is accelerating this momentum by giving founders direct access to accelerated computing, scalable AI infrastructure, and programs like NVIDIA Inception for startups and the NVIDIA VC Alliance helping startups scale faster and build for global markets.
Tobias Halloran
NVIDIA’s support for Eka Care includes access to specialized computing infrastructure, technical expertise in AI model development, and mentorship from NVIDIA’s ecosystem team. These resources are critical for scaling medical AI solutions that must meet rigorous clinical accuracy standards while operating efficiently on constrained hardware.
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