TLDR: Policybazaar for Business has released a whitepaper titled ‘Artificial Intelligence in Healthcare: Revolutionising Patient Care and System Efficiency,’ advocating for the integration of AI to enhance patient care and system efficiency in India. The report highlights AI’s potential to significantly reduce diagnostic times and errors, while also addressing the critical need for evolving professional indemnity frameworks to cover AI-related liabilities, given that only about 20% of Indian doctors currently hold such insurance. It underscores India’s growing AI investment and calls for collaborative efforts to build robust digital infrastructure and regulatory frameworks.
Gurugram, India – Policybazaar for Business, the corporate arm of one of India’s leading insurance platforms, has unveiled a comprehensive whitepaper titled ‘Artificial Intelligence in Healthcare: Revolutionising Patient Care and System Efficiency.’ Released on October 22, 2025, the report delves into the profound impact of Artificial Intelligence (AI) on clinical risk and medical accountability within the Indian healthcare landscape.
The whitepaper makes a compelling case for the strategic integration of AI into India’s healthcare system, asserting its potential to significantly improve patient care and operational efficiency. It highlights critical areas where AI can bridge existing gaps, particularly in a country with over 1.4 billion people and a hospital bed ratio of merely 1.3-1.4 per 1,000 population, well below the recommended threshold of three beds.
According to the report, AI-enabled platforms have the capacity to reduce diagnostic turnaround times by up to 80%, especially in radiology, leading to faster treatment and improved patient outcomes, particularly in underserved regions. Looking ahead, the whitepaper forecasts that by 2030, AI could contribute to a reduction in diagnostic errors by up to 30%. Furthermore, it projects that telemedicine, bolstered by AI under the Ayushman Bharat Digital Mission, could extend healthcare access to an estimated 500 million Indians.
India’s commitment to AI innovation is evident, with the country ranking among the world’s top ten markets for AI, attracting $1.4 billion in private AI investment this year.
The whitepaper showcases several real-world examples of AI’s transformative power in Indian healthcare:
Qure.ai’s qXR tool is actively used for tuberculosis screening in remote districts.
Niramai’s Thermalytix system offers non-invasive breast cancer detection through thermal imaging.
Manipal Hospitals have leveraged AI-based automation to reduce patient discharge times from 4–8 hours to just one hour.
Strand Life Sciences employs AI-driven genomics to deliver personalized cancer therapies.
Platforms like Practo and Mfine utilize AI chatbots to assist over 100 million patients monthly, while Apollo 24/7 relies on AI for triage and teleconsultations.
Beyond the technological advancements, the report critically examines the evolving frameworks for professional indemnity, particularly as AI assumes greater roles in medical decision-making. The central question of accountability arises: ‘What happens when AI gets it wrong?’ The whitepaper reveals a significant gap, noting that only about 20% of Indian doctors currently possess professional indemnity (PI) insurance, and most existing policies do not explicitly cover AI-related liabilities.
In response, Policybazaar for Business is actively collaborating with healthcare professionals to review and strengthen their indemnity coverage. This initiative aims to ensure that doctors are adequately protected against potential errors linked to AI-assisted decisions, especially in high-stakes medical fields such as cardiology and oncology.
Also Read:
- India’s Private Sector AI Investments Outpace Japan, France, and Germany, Nearing $20 Billion Mark
- American Medical Association Launches Center for Digital Health and AI to Reshape Healthcare
The report concludes with a strong call to action, urging policymakers, insurers, hospital administrators, and clinicians to collaborate. This collective effort is deemed essential for building robust digital infrastructure, establishing clear regulatory frameworks, and fostering public-private partnerships that can scale AI solutions responsibly and effectively across the Indian healthcare system.
