Beyond AI sensors: building a truly connected smart hospital

5-minute read

Interoperability first: the foundation that makes IoMT and AI sensor investments pay off

AI-enabled sensors can play an important role in smart hospital initiatives, alongside workflow redesign, system integration and change management. Yet sensors alone can’t make a smart hospital. Sensors can collect and interpret data and surface insights. But without interoperability, those insights may not reach the teams and workflows that support coordinated, connected care.

What matters in practice is whether insights move reliably into clinical workflows, reach the right role without added friction and support standardized care processes. That takes a connected platform that helps teams coordinate care, stay in sync and use insights in meaningful ways – making it easier to reduce variation, strengthen consistency and support the kind of care teams want to provide.

Smart hospital technology goes beyond sensors alone. In a smart hospital, digital technologies – not just sensors, but also AI, the internet of medical things and data analytics – are integrated so devices, systems and data work together.^1,2 For clinical leaders, “smart” should translate into safer care, fewer avoidable interruptions, better throughput and a more predictable patient journey from intake through discharge – with less friction for nurses and care teams. For IT leaders, it also requires an architecture that can exchange data across systems, manage integrations and apply governance at scale.

Increasingly, organizations are moving from point solutions to healthcare technology platforms because digital transformation in healthcare depends on connected workflows, usable data exchange and reliable execution across teams — not isolated tools.³ And yet, even an AI sensor is a point solution if it serves as a siloed application that tackles a specific, isolated problem without contributing to a broader digital ecosystem.

Why AI sensors aren’t enough: more data doesn’t mean more insight

Healthcare generates about 30% of the world’s data volume.⁴ Yet around 97% of the data hospitals produce per year goes unused.⁵ The issue isn’t a lack of data; it’s the gap between data capture and action at the bedside.⁶ Data silos and proprietary systems limit smooth information flow among health information systems, undermining care coordination.⁷ AI sensors can multiply data volume dramatically – but without an architecture that can collect, normalize, govern and operationalize that data, hospitals risk adding noise instead of improving care.

Interoperability is the processing layer that makes sensor investments operationally meaningful. It enables data to be exchanged across different hospital technology systems, software applications and networks.⁸ For clinical leaders, that exchange can show up as smoother handoffs, stronger care continuity and better shared awareness when the plan of care changes. For IT teams, interoperability helps reduce custom, one-time connections between systems and fragile workflows that create long-term support burdens. Effective data exchange supports coordinated care; without it, fragmented information, care delays and rising administrative costs can affect outcomes.⁹

This is where a connected platform outperforms a collection of devices. Intelligent middleware can integrate, aggregate, process and deliver data from disparate systems so it can be leveraged by people and machines – turning raw data into usable, shareable information.

Interoperability: the foundation for reliable communication

Effective clinical communication is essential for delivering high-quality patient care; but when it falls short, gaps in communication can create patient safety risks; communication failures are a leading contributing factor in the six most reported sentinel event types.¹⁰ In a smart hospital, interoperability helps break down data silos to turn data into useful, shareable information. It creates opportunities for automating communication workflows that can streamline and enhance the way clinicians receive and share information. By integrating communication tools with your clinical and operational systems, actionable information can be pushed to clinicians when and where it’s needed.

The case for a connected platform

A connected smart hospital platform unifies devices, data and people at scale so organizations can standardize how care is delivered, help reduce avoidable variation and support staffing and throughput goals across units and sites.

In Stryker’s SmartHospital Platform, our intelligent sensors, connected beds and stretchers, clinical communication solutions and third-party systems are integrated via our intelligent middleware. Workflow intelligence sits at the center, integrating, aggregating and processing data from disparate systems so it can be accessed, governed and used. AI-driven ambient sensors and a virtual command center work together to monitor, optimize and automate clinical and operational workflows in near-real time. (Vocera Communications and care.ai have been part of Stryker since 2022 and 2024 respectively.) In the journey across the smart ED, smart OR and smart hospital room, the platform helps care flow smoothly.

From “smart devices” to smart hospitals

If smart hospitals are defined by intelligence, integration and connection, then AI sensors alone will always fall short. The path forward is to treat sensors as valuable data sources inside a broader connected platform – one that enables interoperability through workflow intelligence, turns data into actionable insights, routes them into communication workflows and demonstrates value through analytics. That’s how hospitals can reduce complexity, support clinician adoption and elevate the moments that matter most – for care teams and patients.

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Stryker is one of the world's leading medical technology companies. Alongside our customers around the world, we impact more than 150 million patients annually. To learn more about the SmartHospital Platform, visit the SmartHospital Platform page.