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Transforming healthcare through digitisation, cloud and AI
Express Healthcare
|August 2025
Express Healthcare and Express Computer, in collaboration with SAP, brought together influential CXOs, CIOs, CTOs, CFOs, and heads of digital transformation from hospitals and diagnostic networks to explore how cloud, data intelligence, and artificial intelligence (AI) are reshaping the future of healthcare. Excerpts from these discussions...
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According to the HIMSS Digital Health Indicator (2024), only 45 per cent of global healthcare providers currently have fully integrated IT infrastructures. In India, the challenge is even more pronounced.
A 2024 NASSCOM report reveals that 80 per cent of Indian healthcare organisations struggle with data silos and disconnected systems, leading to inefficiencies and slower patient care. Meanwhile, patient expectations are evolving rapidly, and the shift toward preventive, personalised care is demanding smarter, data-driven approaches.
Cloud technology and intelligent data platforms are already the backbone of this transformation. As per the EY-NASSCOM report on India’s Cloud and Data Revolution, 80 per cent of Indian enterprises now rely on cloud to enable advanced data analytics underscoring a trend that healthcare must embrace urgently.
In a concerted effort to drive healthcare transformation through technology, Express Healthcare and Express Computer, in collaboration with SAP hosted two executive meetings—first in Mumbai on June 4, 2025, and then in Delhi on July 4, 2025.
The meetings brought together influential CXOs, CIOs, CTOs, CFOs, and heads of digital transformation from hospitals and diagnostic network to explore how cloud, data intelligence, and AI are reshaping the future of healthcare.
The Mumbai executive meeting served as a platform to discuss how cloud computing, real-time analytics, and intelligent data platforms are enhancing patient outcomes, operational efficiency, financial management, and regulatory compliance. Key discussions revolved around challenges in EMR integration, legacy system migration, data standardisation, and the need for simplicity and user-friendliness in technology adoption across hospital ecosystems.
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