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How AI can be optimised for better healthcare

17 Aug 2026
2 min

Artificial Intelligence in Healthcare

Modern medicine has accumulated a vast repository of knowledge. Yet, its distribution to patients depends on the availability and accessibility of trained clinicians, healthcare institutions, and systems. Artificial Intelligence (AI) emerges as a pivotal tool to bridge this gap, offering a way to distribute medical knowledge more effectively and efficiently.

Global Developments

  • In January 2025, the U.S. FDA authorized over 1,000 AI-enabled medical devices, applicable in fields like radiology and cardiology.
  • The UK's NHS in April 2025 issued guidance on AI-enabled ambient scribing, which by 2026 showed potential to provide doctors an extra 25% of time with patients.

Challenges and Opportunities in India

  • Specialist care is often restricted to large urban centers, complicating chronic condition management that demands long-term monitoring.
  • Rising patient volumes challenge hospitals, necessitating efficient management of existing capacities.
  • As of May 2026, India's Ayushman Bharat Health Accounts linked over 100 crore health records, doubling since February 2025.
  • The Ayushman Bharat Digital Mission (ABDM) Scan and Share service reduced outpatient registration time significantly.

Financial and Operational Benefits of AI

  • A McKinsey analysis in January 2026 highlighted the potential of AI to decrease healthcare revenue-cycle operation costs by 30% to 60%.
  • AI aids in tasks such as appointment scheduling, clinical documentation, claims, inventory planning, and discharge management, enhancing operational efficiency.

Expanding Healthcare Services

  • AI enables scalable delivery of complex and remote healthcare services.
  • Potential services include remote monitoring, risk-based preventive programs, virtual specialist support, and community-based diagnostics.
  • These models not only create revenue but also improve early patient reach and prevent disease progression.

Considerations and Future Directions

  • Careful clinical validation, representative data use, and human oversight are crucial for AI tool deployment.
  • The FDA's call in September 2025 for enhanced AI evaluation methods in real-world settings underscores these needs.
  • AI's potential should be harnessed where it can reduce delays, enhance clinician decision-making, and provide broader patient care.

Conclusion

Healthcare is integral to a nation's economic development, and AI can play a significant role by enhancing healthcare accessibility and efficiency. The true impact of AI in healthcare will be measured by its contribution to improving human life quality and happiness.

Explore Related Content

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RELATED TERMS

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Revenue-cycle management

The financial process that healthcare organizations use to manage healthcare claims, payments, and patient data. It encompasses all administrative and clinical functions that contribute to the capture, management, and collection of patient service revenue.

Scan and Share service

A feature within the ABDM that allows patients to share their health records by scanning a QR code, significantly reducing the time taken for outpatient registrations.

Ayushman Bharat Digital Mission (ABDM)

An initiative to create a digital health infrastructure for India, aiming to connect patients, healthcare providers, and facilities digitally. It facilitates health records, diagnostics, and telemedicine services.

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