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Why Connected Care Wins Over AI Models

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Hospitals in the U.S. and abroad built up their digital infrastructure piecemeal over decades, adding specialized systems to solve isolated operational problems rather than designing a connected ecosystem from the outset. This slow accumulation of old and new tools causes the same data blocks and connection problems that U.S. health system CIOs have long cited as one of their biggest technology headaches, underscoring a core healthcare data fragmentation governance challenge that spans borders.

Why Healthcare Data Fragmentation Governance Starts With Legacy Systems

Each new platform speaks its own digital language, and clinical information ends up scattered across electronic health records, laboratory systems, and radiology platforms that were never built to interoperate, a pattern familiar to any U.S. hospital IT department managing a mix of Epic, Cerner, and specialty point solutions acquired over the years. This piecemeal accumulation of specialized tools, each solving a narrow operational problem in isolation, is precisely what has left many hospitals worldwide with fragmented data environments today.

A Common Assumption Worth Dismantling

Surjeet Thakur, Chief Information Officer at Rajagiri Hospital in Kochi, India, wants to dismantle a common assumption shared by health IT leaders globally: that data fragmentation is fundamentally a technology problem.

Why Governance, Not Technology, Is the Real Barrier

He identifies governance, not technology, as the true obstacle. Even where interoperability standards such as FHIR, the same Fast Healthcare Interoperability Resources framework mandated under U.S. federal information-blocking rules, exist, they only work when hospitals also standardize their clinical workflows and align their data definitions across vendors.

Thakur’s Direct Explanation

“Successful interoperability requires standardised clinical workflows, consistent data definitions, and alignment across vendors. Without these foundational elements, interoperability becomes an integration exercise rather than a transformation initiative,” he told Analytics India Magazine. This distinction, between a narrow technical integration and a genuine organizational transformation, is a lesson U.S. health system leaders have voiced repeatedly as they navigate their own ONC-driven interoperability mandates.

A Blueprint U.S. Health Systems Will Recognize

Rather than waiting for every legacy system to become fully standards-compliant, Rajagiri Hospital has pursued an integration-first strategy built around middleware, APIs, and interface engines, an approach that mirrors how many U.S. health systems have handled multi-vendor EHR environments following mergers and acquisitions. This pragmatic approach acknowledges the reality that ripping out and replacing entrenched legacy systems across a hospital is often neither feasible nor necessary to achieve meaningful interoperability gains.

How This Strategy Benefits Clinicians Directly

This allows clinicians to work from a unified view of the patient without ripping out and replacing existing infrastructure. Thakur frames this as evolutionary change, a deliberate contrast to the more disruptive, wholesale system replacement approach some hospitals might otherwise consider, and one U.S. health system CIOs managing tight capital budgets would likely find familiar.

What This Healthcare Data Fragmentation Governance Approach Means for U.S. Health Systems

By treating interoperability as fundamentally a governance and workflow standardization challenge rather than a pure technology procurement decision, this approach offers a pragmatic template that translates directly to U.S. hospitals navigating similar decades-long accumulations of disconnected clinical systems. Given Thakur’s emphasis on standardized workflows and consistent data definitions as foundational prerequisites, U.S. health systems pursuing interoperability initiatives under evolving federal requirements may need to invest as much in organizational alignment across departments and vendors as in the underlying middleware and API technology itself.

What to Watch Going Forward

As more hospitals globally, including in the U.S., grapple with the same legacy infrastructure challenges Rajagiri Hospital has addressed through its integration-first strategy, industry observers will likely watch whether this evolutionary, middleware-based approach proves more durable and cost-effective than attempts at wholesale legacy system replacement. Given the emphasis Thakur places on governance over pure technology adoption, this healthcare data fragmentation governance framework may offer U.S. health IT leaders a useful international data point as they weigh how to achieve genuine interoperability transformation, rather than settling for narrower, standalone integration projects, under their own federal mandates.

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