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Advancing Healthcare in India: Navigating the Transformative Impact of AI

August 13, 2024 26174 2 AI HealthTech and Life Sciences nasscom insights

Advancing Healthcare in India: Navigating the Transformative Impact of AI

Indian healthcare sector is expanding rapidly, driven by increased government and corporate investments. However, it continues to face significant challenges in accessibility, affordability, and quality of care. These issues are particularly pronounced in rural and underserved areas, where healthcare infrastructure remains underdeveloped. Artificial Intelligence (AI) is emerging as a powerful tool to address these challenges by enabling personalized care, improving diagnostic accuracy, optimizing resource allocation, and reducing costs. AI's potential extends further, offering innovative solutions that can accelerate India's progress toward its long-term healthcare goals. This report, titled Advancing Healthcare in India: Navigating the Transformative Impact of AI, covers the AI focus, adoption and maturity trends across various stakeholder categories, and offers a comprehensive playbook for stakeholders, aiming to drive AI adoption and enhance the overall efficiency and effectiveness of the Indian healthcare ecosystem.

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Key Highlights

Although the Indian healthcare market (in value terms) is poised to grow at a CAGR of 21.6% between 2016 and 2025, it is plagued by the “Iron Triangle” of Access, Cost and Quality.

  • Growth trends across the Indian healthcare sector covering different segments.
  • Benchmarking and comparison of Indian healthcare sector metrics with global economies.
  • Role of AI in bridging the address the critical gaps in the Indian healthcare sector around accessibility,affordability, and quality.

 

The AI maturity remains low for Indian Healthcare sector due to lower AI integration,focus on PoCs, inadequate budget allocation, and a lack of a formal risk assessment and monitoring.

  • Indian healthcare landscape covering key adopter and AI technology provider segments.
  • Current AI adoption, maturity and drivers across different adopter segments in the Indian healthcare sector including pharma and life sciences, MedTech, and healthcare providers.
  • Gen AI use cases, adoption, and maturity across different adopter segments in the Indian healthcare sector.
  • AI technology providers’ AI offerings and capabilities in healthcare.
  • Major challenges to AI adoption in Indian healthcare.

 

In the short term, AI can drive efficiencies, speed and accuracy; in the medium-term AI can enable preventive care and personalized treatments; while in the long term, AI can help in achieving universal healthcare coverage.

  • Road mapping the impact of AI in enhancing outcomes for the Indian healthcare sector
  • Identifying the key value levers to help in realization of future goals of the Indian healthcare sector
  • Adoption playbook detailing out key requirements and considerations around infrastructure, skills, implementation, regulations, and scalability.

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