Indian clinicians trust AI more than global peers, but use it less at work - Business Standard

2026-07-21 · Source: artifical intelligence via Google News · Field: Health & Wellbeing — Healthcare Systems & Policy, Clinical Care & Medical Practice, Medical Devices & Health Technology · Depth: Fundamental Awareness, short

Summary

The Elsevier "Clinician of the Future 2026" report, based on a survey of 2,757 clinicians across 118 countries, reveals that Indian clinicians exhibit higher trust in AI tools (43%) compared to the global average (37%), yet their workplace adoption of AI remains lower (42% versus 49% globally). The study also found that Indian healthcare institutions rate better on AI readiness indicators, with 53% reporting good AI governance, 50% citing access to digital tools, and 44% acknowledging adequate AI training, all surpassing global averages. Furthermore, Indian clinicians experience less workplace pressure, with 79% having sufficient time for patient care and only 12% considering leaving their jobs, significantly lower than global figures. Globally, 49% of clinicians use AI, with 56% utilizing general-purpose tools like ChatGPT or Microsoft Copilot and 34% clinical-specific ones, primarily for decision-making and patient care support. The report emphasizes the critical need for transparency to build trust in AI outputs.

Key takeaway

For healthcare leaders and AI strategists in India, your focus should be on bridging the gap between high clinician trust in AI and its lower actual usage. Capitalize on your institutions' stronger AI readiness, governance, and training programs to actively integrate AI tools into daily workflows. Prioritize transparency regarding AI system data and outputs to solidify trust, ensuring clinicians feel confident in using these tools for critical patient care decisions and improving outcomes.

Key insights

Indian clinicians show higher AI trust but lower adoption, despite better institutional support and less workplace pressure.

Principles

• Regional trust in AI varies widely.
• Institutional readiness drives AI adoption.
• Transparency builds clinician trust.

In practice

• Enhance AI governance frameworks.
• Improve access to digital tools.
• Detail AI training data sources.

Topics

• Artificial Intelligence
• Healthcare Technology
• Clinician Trust
• AI Adoption
• AI Governance
• Digital Health Tools

Best for: Executive, AI Product Manager, Domain Expert, Consultant, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.