How AI and Data Are Shaping Predictive Healthcare: Insights from Hitachi Digital Services
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Healthcare transformation is no longer about digitizing hospitals, it is about building connected, intelligence-driven ecosystems. With digital public infrastructure such as ABDM and growing investments in AI, cloud, and connected technologies, India has an opportunity to leapfrog legacy healthcare models and create a more interoperable, predictive, and patient-centric future.
Unlike many mature healthcare markets that continue to navigate fragmented legacy systems, India can adopt a more integrated approach to digital transformation. Achieving this vision will require interoperable data platforms, secure infrastructure, AI-powered insights, and stronger collaboration across the healthcare ecosystem.
In this interview, Paul Watson, Vice President, Global Lead – Healthcare & Life Sciences, Hitachi Digital Services, provides his perspective on the technological and infrastructure shifts required to advance India's healthcare transformation. The discussion explores global lessons on interoperability, the convergence of AI, IoT, and Operational Technology, and the role of ABDM in enabling a connected, intelligent, and future-ready healthcare ecosystem.
Hitachi operates across mature healthcare systems like the US and rapidly evolving markets like India. What are the biggest lessons India can adopt without repeating the mistakes of developed healthcare systems?
India has a unique opportunity to leapfrog traditional healthcare modernization by building intelligence into its healthcare ecosystem from the start. Many mature healthcare markets invested heavily in digitization over the past two decades, but often created fragmented environments where electronic health records, imaging platforms, medical devices, and operational systems evolved independently. As a result, data became trapped in silos, making it difficult to generate real-time insights or coordinate care across providers.
India does not have to repeat that journey. By leveraging initiatives such as the Ayushman Bharat Digital Mission (ABDM) and designing around interoperability from the outset, healthcare organizations can establish connected ecosystems where data moves securely across hospitals, diagnostic centers, laboratories, insurers, and patients. The objective should not simply be digital healthcare, but intelligent healthcare, where information is transformed into actionable insights that improve clinical outcomes and operational performance.
Hitachi Digital Services brings together deep expertise in healthcare applications, cloud, data engineering, AI, cybersecurity, and Operational Technology to help healthcare providers build these connected ecosystems. We believe healthcare transformation should be designed around the entire patient journey rather than individual technologies.
As healthcare moves from digitization to intelligence, what role will interoperable data platforms, AI, IoT and operational technologies play in building predictive healthcare ecosystems?
Healthcare is entering a new phase where data becomes the foundation for intelligent decision-making. AI has tremendous potential, but its effectiveness depends entirely on access to trusted, interoperable data. Clinical records, imaging, laboratory systems, connected medical devices, and operational infrastructure all generate valuable information that must work together rather than independently.
Interoperable data platforms provide the foundation by connecting these diverse sources into a unified environment. IoT devices continuously generate real-time clinical and operational signals. AI transforms those signals into predictive insights, helping clinicians identify risks earlier, optimize treatment pathways, and improve patient outcomes. Operational Technology extends those insights into the physical environment by connecting hospital infrastructure, biomedical equipment, facilities, and clinical operations.
At Hitachi Digital Services, we refer to this convergence as the next generation of intelligent healthcare, where Data Intelligence, enterprise applications, IT and OT integration, and Physical AI work together to improve both patient care and operational resilience.
How can India balance affordability with advanced technologies such as AI-driven diagnostics, connected medical devices and precision medicine?
Technology should reduce the cost of healthcare while improving quality and access. Cloud native platforms, AI-enabled diagnostics, connected medical devices, and remote monitoring allow advanced clinical capabilities to be delivered without requiring every healthcare facility to invest in expensive specialist infrastructure.
Rather than concentrating expertise within large urban hospitals, intelligent platforms allow knowledge to be distributed across healthcare networks. AI can assist clinicians with diagnostics, remote specialists can support local providers, and connected devices can continuously monitor patients outside traditional care settings.
The focus should be on building scalable digital platforms that make advanced healthcare more accessible rather than more expensive. Our experience across global healthcare systems demonstrates that digital innovation delivers its greatest value when it expands access while maintaining consistent clinical quality.
What infrastructure gaps still prevent hospitals from moving beyond digitization to truly connected healthcare?
Many hospitals have digitized individual workflows but remain disconnected at the enterprise level. Clinical systems, imaging platforms, biomedical devices, facilities management, supply chain operations, and patient engagement applications frequently operate as separate environments.
The next stage of healthcare transformation requires modern hybrid cloud infrastructure, interoperable data platforms, standardized APIs, cybersecurity by design, and integrated operational visibility. Hospitals also need stronger governance around data quality and data sharing to ensure AI solutions can operate safely and effectively.
Equally important is the convergence of IT and Operational Technology. Connected hospital infrastructure enables healthcare organizations to monitor critical assets, optimize resource utilization, reduce equipment downtime, and improve patient safety through predictive operational intelligence.
How can public digital infrastructure, such as ABDM, accelerate innovation for private healthcare providers and technology companies?
ABDM has the potential to become one of the world’s most significant healthcare interoperability initiatives because it establishes a trusted digital infrastructure rather than isolated applications.
Its greatest value lies in creating a common framework that allows healthcare providers, technology companies, medical device manufacturers, insurers, and digital health innovators to build interoperable solutions. Standardized data exchange enables organizations to develop AI-powered diagnostics, remote monitoring platforms, personalized medicine solutions, and predictive healthcare services without creating additional silos.
Technology companies have an opportunity to innovate on top of this shared foundation while helping healthcare organizations accelerate digital transformation in a secure and scalable manner.
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