India's Union Minister J P Nadda released a knowledge paper today on AI in MedTech at the 9th Edition of India Medical Device 2026 in New Delhi, marking a push for artificial intelligence in healthcare devices and diagnostics. The report, jointly developed by Praxis Global Alliance and FICCI, examines how AI can expand specialist expertise into primary care settings and outlines steps to move the technology from pilot projects to routine clinical use.
The event, hosted by the Department of Pharmaceuticals at Vigyan Bhawan, drew senior officials including Manoj Joshi from the Department of Pharmaceuticals, Dr M Srinivas of NITI Aayog, Dr Rajiv Bahl from the Department of Health Research, and industry leaders from the MedTech sector.
AI-ready data and regulation gaps remain
The knowledge paper notes that India already has foundations for AI in healthcare through the Ayushman Bharat Digital Mission, the IndiaAI Mission, SAHI, BODH and the National Medical Devices Policy, 2023. But the report says that moving from successful pilots to routine clinical adoption faces three major ecosystem gaps: fragmented health data and limited evidence, the need for lifecycle-based regulation that adapts as AI models change, and procurement and reimbursement mechanisms that treat AI-enabled devices differently from conventional ones.
AI solutions in diagnostics are expected to be the first large-scale application. The report identifies this as a path to extend specialist expertise to primary and secondary care, improve clinician productivity and reduce inequities in access to quality healthcare.
India's software capabilities and clinical diversity
The report says India can become a global leader in responsible development and manufacturing of AI-enabled medical technologies by building on its software capabilities, digital public infrastructure, clinical diversity and a growing MedTech manufacturing base. It says MedTech represents the most immediate and scalable AI opportunity for India because it can embed specialist knowledge directly into medical devices.
Five priorities for the next phase
The knowledge paper lays out five priorities for accelerating AI adoption in MedTech. Alongside addressing data and regulation gaps, it recommends that AI-ready data and evidence become a focus, and that procurement and reimbursement mechanisms should recognize the value AI-enabled devices bring. The report argues that coordinated action across government, regulators, healthcare providers, payers, industry and academia will be necessary for India to lead in the responsible development and deployment of these technologies.
Working professionals in healthcare seeking to understand the commercial and operational implications of this shift may benefit from targeted training. An AI Learning Path for Medical Billers is one example of practical skill-building that aligns with the report's call for AI integration in healthcare operations.
For those looking to understand the broader context, the AI for Healthcare resource covers the intersection of AI technologies and clinical workflows, relevant to the report's focus on diagnostics, decision support and operational efficiency.
Why this matters for healthcare professionals
For clinicians, medical billers, and hospital administrators in India, the report signals that AI tools are expected to move from fixed pilots into everyday workflows within two to three years, affecting how diagnostics are delivered, how operations are managed, and how decisions about care are made. This transition will rest on the quality of data an organization provides in the industry, the regulatory framework that governs devices, and whether reimbursement models keep pace with the new technology. Those who can navigate the practical implementation will have an edge as the ecosystem scales.
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