ManipalCigna India Health Quotient 2026: 8 in 10 Indians see AI transforming healthcare, but privacy and human touch remain non-negotiable

Artificial intelligence is no longer viewed as a futuristic experiment in healthcare. For a growing majority of urban Indians, it is emerging as a practical tool capable of improving diagnosis, predicting diseases, streamlining insurance processes, and extending healthcare access. Yet, even as confidence in AI rises, consumers are drawing clear boundaries around what they are willing to accept.

The inaugural India Health Quotient (IHQ) 2026 study from ManipalCigna Health Insurance reveals a population that is optimistic about technology’s role in healthcare but unwilling to compromise on privacy, transparency, or human interaction. The findings highlight a nuanced reality: Indians want AI-powered healthcare, but they want it governed responsibly and designed to complement—not replace—human care.

A nation increasingly comfortable with AI in healthcare

The study finds that 63% of urban Indians hold a positive view of AI’s impact on healthcare over the coming year, while only 8% express negative sentiment. The remaining respondents are largely neutral, indicating that skepticism toward AI remains limited.

Perhaps more telling is the level of engagement with AI-enabled health tools. Only 10% of respondents say they have neither used AI-powered healthcare solutions nor intend to do so in the future. This suggests that AI is rapidly moving from the periphery into mainstream healthcare experiences, whether through symptom checkers, health-monitoring applications, virtual assistants, or insurance-related services.

Interestingly, enthusiasm is not confined to younger digital natives. Respondents above the age of 35 are more likely than younger participants to hold an exclusively positive view of AI, indicating that trust in healthcare technology is spreading across demographic segments.

Beyond hype: Indians understand AI’s practical value

The survey suggests that consumers are evaluating AI not through the lens of novelty but through tangible outcomes.

Early disease prediction emerges as the most recognised benefit, cited by 35% of respondents. Close behind are accurate diagnosis and treatment (34%) and real-time health monitoring (33%). These priorities reflect a growing appreciation for AI’s ability to shift healthcare from reactive treatment toward preventive and predictive care.

The broader data reinforces this trend. Nearly three-fourths of respondents associate AI with improvements in care quality, including personalised treatment recommendations, better diagnostics, and continuous monitoring. At the same time, 80% recognise operational advantages such as faster claims processing, improved claims accuracy, fraud reduction, and better management of patient records.

This dual perception is significant. Consumers are not merely viewing AI as a clinical tool; they also recognise its ability to address longstanding inefficiencies within healthcare and insurance ecosystems.

For insurers, this creates an opportunity to deploy AI not only for customer-facing innovations but also for back-end transformation that improves service delivery and claims experience.

Healthcare’s weakest link remains financial wellbeing

While the report’s AI findings are particularly noteworthy, they sit within a broader assessment of India’s health landscape.

The overall India Health Quotient score stands at 65 out of 100, indicating moderate levels of wellbeing among urban Indians. Physical health performs best with a score of 68, followed by social health at 66. Occupational and mental health both score 65.

Financial health, however, emerges as the weakest pillar at 62.

The finding highlights an important challenge for healthcare stakeholders. Financial insecurity continues to influence healthcare decisions, treatment adherence, and long-term wellness outcomes. As healthcare costs rise and chronic disease burdens increase, affordability and financial preparedness remain critical concerns.

In this context, AI-driven efficiencies that reduce costs and simplify insurance processes could have a meaningful impact on overall health outcomes.

Privacy concerns threaten to slow adoption

Despite widespread optimism, respondents are far from uncritical about AI.

Data privacy emerges as the single largest concern, with 39% worried about the risks associated with sharing personal health information with AI systems. Given the sensitive nature of healthcare data, concerns around data misuse, breaches, and unauthorised access are unsurprising.

Equally significant is the concern around the erosion of human connection. Nearly 38% fear that AI-driven healthcare could diminish empathy and personal interaction in medical care.

When grouped together, concerns relating to loss of human touch—including reduced access to healthcare professionals, discomfort with machine-led decisions, and lack of empathy—are cited by 69% of respondents.

The message is clear: consumers may welcome automation, but they do not want healthcare reduced to algorithms.

Trust will depend on regulation and transparency

The study also provides a roadmap for building consumer confidence.

Government regulation is identified as the strongest trust enabler, cited by 37% of respondents. Strong privacy safeguards follow closely at 36%. Respondents also emphasise the importance of transparency in AI decision-making, the ability to challenge AI-driven outcomes, and access to human second opinions.

These expectations mirror global conversations around responsible AI adoption. In healthcare, where decisions can directly affect lives, trust is becoming as important as technological capability.

For insurers, hospitals, and healthcare providers, success will depend not only on deploying advanced AI systems but also on demonstrating accountability, explainability, and robust governance frameworks.

The future is human-centred AI

The India Health Quotient 2026 findings suggest that India has entered a new phase of healthcare digitisation. Consumers are increasingly willing to embrace AI-powered services, recognising their potential to improve outcomes, enhance efficiency, and expand access.

However, the enthusiasm comes with conditions. Indians expect safeguards around personal data, clear regulatory oversight, and continued access to human expertise and empathy.

The future of healthcare AI in India will therefore not be defined solely by technological breakthroughs. It will be shaped by how effectively organisations balance innovation with trust. The winners will be those that use AI to augment healthcare professionals, empower patients, and create more personalised experiences—without losing the human element that remains at the heart of care.

As AI becomes embedded across healthcare and insurance ecosystems, the challenge is no longer whether consumers are ready. The challenge is whether the industry can deliver AI that is transparent, secure, and genuinely patient-centric.