The global healthcare construction pipeline currently stands at $746.5 billion in tracked projects. Yet the industry responsible for delivering these facilities remains stubbornly unable to finish them on time and on budget. According to McKinsey, 98% of megaprojects suffer cost overruns exceeding 30%. Hospital projects, with their extreme regulatory complexity and dense technical coordination, sit at the worst end of that spectrum.
The root cause is not a lack of effort. It is a structural problem: fragmented data, disconnected workflows, and manual processes that were never designed for the complexity of modern healthcare facilities. The projects that are breaking this pattern have one thing in common: they treat data as infrastructure, not as a by-product.
The real bottleneck is not materials or labor
After more than two decades in this industry, I’ve watched the same failure pattern repeat across geographies and project scales. A design change in an operating room’s radiation shielding requires updates to structural drawings, MEP layouts, fire compartmentation plans, and equipment procurement schedules. In a typical project, these systems don’t talk to each other. Changes get missed, conflicts surface during construction, and rework costs compound. The industry tends to blame supply chains, material prices, or labor shortages. Those are real pressures, but the deeper problem is that we’re still coordinating billion-dollar facilities through fragmented information.
This is the problem that a data-first digital twin approach solves. On the Glasblokkene Trinn 2 project, a 50.000 m² children’s hospital in Bergen, Norway, and the region’s largest construction project in nearly 40 years, the team centralized all planning and asset data into a single cloud-based master database using dRofus. The entire project ran without a single printed drawing. Live cross-discipline dashboards allowed subcontractors to sequence work based on actual progress rather than assumptions (Digital Twin Case Study).
This was not an isolated experiment. In late 2025, Health New Zealand (Te Whatu Ora) signed a national agreement to implement dRofus, initially supporting two major healthcare infrastructure projects and establishing a long-term framework for standardizing facility planning, equipment procurement, and data management across future healthcare facility projects in New Zealand. That is not a pilot. That is a strategic decision about how hospitals should be built from now on.
What happens when AI replaces clipboard inspections
The Nyt Hospital Nordsjælland project near Copenhagen (123.000 m²), designed by Herzog & de Meuron, one of Denmark’s largest active construction sites, saved €5.2 million in prevented rework costs during the superstructure phase. That figure represents roughly 2% of the total project budget, recovered not through cost-cutting but through catching problems before they became expensive.
The tool that made this possible is Imerso, which combines BIM, reality capture, and AI to automate construction quality monitoring. The fire wall compliance use case is worth examining closely. The hospital has thousands of fire-rated wall studs per floor, each requiring precise installation to maintain its certified rating. In conventional projects, subsequent trades routinely cut through these studs to route MEP services, compromising fire integrity behind a wall that’s about to be sealed shut. Imerso’s AI-powered 3D scanning flagged these conflicts before the walls were closed, giving teams a window to resolve them proactively. The alternative, discovering compromised fire walls during commissioning or, worse, after patients move in, is a scenario no one in this industry wants to contemplate.
This is an important mental shift. The value of AI on a construction site is not automation for its own sake. It is the elimination of the gap between what was designed and what actually gets built. Every undetected deviation is a risk. On a hospital, those risks carry patient safety implications that go far beyond budget.
The 30-year cost that nobody plans for
Most conversations about healthcare facilities’ construction end at handover. But these operate for 30 to 50 years, and the decisions made during design and construction have significant implications for long-term costs, energy performance, and adaptability. Globally, healthcare systems account for over 4% of greenhouse gas emissions (surprisingly, more than the aviation industry) with hospitals being the most energy-intensive publicly funded buildings.
The tragedy is that this energy waste is often invisible. When the knowledge generated during design and construction fails to transfer into operations, facility managers inherit a complex building with no digital memory. At the Hospital de la Santa Creu i Sant Pau in Barcelona, a UNESCO World Heritage Site with 15 buildings, Nemetschek’s Spacewell energy management platform analyzed data from 140 utility meters to identify performance discrepancies between areas with similar functions. Targeted interventions delivered a 28% reduction in energy costs in the first six months. That’s savings that had been hiding in plain sight, recoverable only because someone finally connected the data.
This is the principle behind what we at Nemetschek call Building Lifecycle Intelligence: when the data generated during planning and construction flows into operations, a facility starts its life with a complete digital knowledge base, not a filing cabinet of as-built drawings that nobody will open again.
Where this is heading
Healthcare is shifting toward distributed networks of smaller, more adaptable facilities such as ambulatory surgery centers, community clinics, modular care units. That shift makes lifecycle digital tools not just useful but essential: the only way to maintain consistency, compliance, and operational intelligence across a growing portfolio of facilities is through connected, standards-based data. This is why the Nemetschek Group’s long-standing commitment to Open BIM and IFC-based interoperability is not a technical preference, it is a strategic necessity for an industry where no single vendor will ever own every tool in the chain.
The technology to build this way exists today. The projects proving it in Bergen, Copenhagen, Barcelona, and across New Zealand, are not outliers. They are the blueprint.
Join Our Newsletter Today
