AI-Native, Hybrid and EdgeAI, Ambient Clinical Intelligence and Personal Health Assistants for Scaling Equitable, Standards-Based Healthcare Delivery in India
India
Healthcare
Implementing Organisation
Raxa Health Information Systems Private Limited
India, Delhi, New Delhi
Implementing Point of Contact
Surajit Nundy
Founder and CEO
Contributor of the Impact Story
Carnegie India
Year of implementation
2012
Problem statement
The primary challenge in scaling quality healthcare across India is the "Information Bottleneck" and "Documentation Burden" that creates a disconnect between patients and providers. In a high-volume clinical environment, physicians spend a disproportionate amount of time on administrative data entry, leading to provider burnout and reduced clinical empathy. For patients, medical history remains fragmented across physical records, making longitudinal health tracking nearly impossible. This fragmentation prevents the effective use of Personal Health Records (PHR) within the Ayushman Bharat Digital Mission (ABDM) framework. Furthermore, there is a significant Health Literacy Gap. Patients often lack the tools to interpret complex medical data, while healthcare providers in rural or low-resource settings lack access to real-time, expert-curated clinical guidance. Existing AI solutions often fail this "Health Lens" test because they are not interoperable, require constant high-speed connectivity, or do not adhere to clinical standards like SNOMED-CT. This use case addresses the urgent need for Ambient Clinical Intelligence and AI Assistants that can digitize care at the point of impact, ensuring that digital health is inclusive, standards-compliant, and focused on social good.
Submission Overview
Raxa Health is an expert-curated, AI healthcare platform designed to bridge the gap between and empower patients and providers in India’s rapidly evolving digital landscape. Also a pioneer in the Ayushman Bharat Digital Mission (ABDM) ecosystem, Raxa leverages natural language processing and advanced data integration to ensure quality healthcare is accessible, equitable, and patient-centric. Raxa’s uses real-world AI applications that empower the patient and reduce administrative burden and enhance clinical decision-making. Amongst those are:
- Raxa Assistant - A personal AI-powered health companion that utilizes a patient’s medical history and prior records to deliver personalized guidance, vital tracking, and recommendations.
- Raxascribe - A specialized transcription tool that captures live doctor-patient conversations in real-time. By digitizing clinical encounters, it enables providers to maintain accurate records without disrupting the human element of care.
- HealthLens & Raxapedia - Tools that utilize computer vision and expert-curated medical knowledge to standardize care quality and empower users with trusted, intelligent information.
Raxa Health offers scalable models for sustainable AI adoption:
- Interoperability - Built on global standards (HL7/FHIR, SNOMED-CT) and fully integrated with India's ABDM/ABHA ecosystem.
- Offline Capability: Unique on-device AI (EdgeAI)I features that ensure private access to medical records and AI assistance even in low-connectivity environments.
- Ethical Frameworks: A commitment to data sovereignty and transparency, ensuring that AI tools reduce disparities in healthcare access across diverse socioeconomic backgrounds.
- Raxa Health, through its non-profit arm, Raxa Foundation (www.raxa.org), supports the PLAIH (People-Led AI in Health) movement with its summit on Feb 7, 2026 Through these tools, Raxa Health is committed to building a transparent, intelligence-driven healthcare system that prioritizes person empowerment, social good and scalable adoption.
AI Technology Used
EdgeAI, Large Language Models
Key Outcomes
Efficiency & Productivity
Economic Value Creation
Inclusion & Equity
Accuracy & Quality Improvement
User Experience & Satisfaction
Resilience & Risk Reduction
Knowledge & Skills Impact
In high-volume clinical environments, physicians spend a large amount of time on documentation, leading to burnout and reduced patient engagement. Patient records remain diffused across different systems, making longitudinal health tracking difficult. Raxa Health's AI-powered platform automates documentation and provides AI-powered health assistance. A pilot in West Bengal reached 10,000 rural patients and the platform's open-source codebase has been adopted in over 50 countries.
Impact Metrics
Rural patient reach of RAXA from a pilot study in West Bengal
Baseline Value
No rural reach prior to the pilot intervention Patients
Post-Implementation
10 ,000 rural patients reached
Growth in Company Valuation Since Implementation of AI-powered Health Platform
Baseline Value
NA Crores (USD 27 million)
Post-Implementation
More than 250 Crore (USD 30 million) Crores
Volume of Localised Medical Training Data for Raxa's AI Model
Baseline Value
Use of 0 localised Question/Answers pairs Data in the form of Questions/Answers pairs
Post-Implementation
50 ,000 Question/Answers pairs
Adoption of Raxa's open-source codebase underlying its AI healthcare use-cases
Baseline Value
Pre-2011, no countries had adopted the codebase Countries
Post-Implementation
More than 50 Countries Countries
Implementation Context
Pan-India reach, with a focus on West Bengal, Delhi-NCR; and Silicon Valley
Raxa Health’s AI solutions are designed to be inclusive, addressing the diverse and massive scale of the Indian healthcare landscape. Our target population is categorized into three primary segments: Rural and Underserved Populations (The "Bottom of the Pyramid")
- Size: Our foundational research and pilots have already reached 10,000+ rural patients in India.
- Demographics: This segment includes individuals in low-resource settings with limited digital literacy and sporadic internet connectivity. Many in this group rely on informalhealthcare providers (quacks/rural medical practitioners) for primary care.
- Impact: By utilizing Health Lens to digitize their physical records and providing a voice-first AI Assistant, Raxa brings these "digitally invisible" populations into the formal ABDM ecosystem.
Healthcare Providers
- Size: Target includes India’s 1.3 million registered allopathic doctors and millions of allied healthcare professionals.
- Demographics: As of 2026, over 40% of Indian clinicians have already adopted AI tools. Raxa targets providers across the spectrum—from high-volume urban specialists to rural frontline workers.
- Impact: Tools like Raxascribe address the demographic of overworked clinicians, reducing administrative burnout and allowing for high-quality care delivery regardless of the provider’s location.
The National Digital Health Grid (ABDM Users)
- Size: With over 66 crore (660 million) ABHA IDs created as of early 2025, our target demographic encompasses nearly 45% of India’s population.
- Demographics: Diverse age groups (with significant adoption among the 18–40 demographic) and multi-lingual users across all Indian states.
- Impact: Raxa acts as the "intelligent interface" for this massive population, ensuring that their longitudinal health data is not just stored, but structured and actionable.
Key Partnerships
Liver Foundation, SRI International (Stanford Research Institute)
Replicability & Adaptation
Health practices are relatively conserved cross-culturally, so some language modifications (we are already in 11 languages) would be required.
Supporting Materials
* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.