Healthcare design is integral to the success and effectiveness of any healthcare facility. Research shows that the design of healthcare environments can positively or negatively affect health outcomes and psychological well-being for patients and their loved ones. It also influences the efficiency, safety, and stress levels of clinical staff.
In addition to designing healing environments that incorporate natural lighting, positive distractions, noise reduction, and ease of navigation, architects must allocate space for current and future equipment needs. This balancing act will become increasingly challenging with the recent influx of artificial intelligence and robots into these environments.
As Woolpert’s global director of healthcare, I believe much has been said in the industry about the impact AI and robotics will have on healthcare. However, what is often overlooked is how these technologies will affect the built environments of hospitals, medical centers, and healthcare systems.
How New Technology Influences Healthcare Design
In October, I joined Woolpert to build on the exceptional work of Bermello Ajamil, a Woolpert Company, and to expand the firm’s healthcare design practice worldwide. Previously, I served as president and CEO of E4H Architecture, the nation’s largest architecture firm dedicated exclusively to healthcare. Throughout my career, I have witnessed periods of rapid technological advancement that transformed healthcare design, and I believe we are now on the cusp of a similar transformation.
I’ve seen electronic health records and cloud storage render filing cabinets and supply closets obsolete, and marveled as telehealth and virtual care bridged hundreds of miles to diagnose patients with a phone call. Momentous changes such as these have paved the way for what healthcare systems face today as AI and robotics permeate processes, workflows, and physical environments.
AI has evolved into real-life care delivery, supporting diagnostic imaging, clinical decision-making, and even drug research and development. AI-enabled robots are also rapidly gaining traction in the healthcare industry. As with past technological shifts, today’s healthcare designers must create spaces that seamlessly incorporate and accommodate these innovations while remaining flexible enough to handle the unpredictable future.
The Architectural Response to the Clinical AI Revolution
New healthcare facilities have the advantage of being designed from the outset with spaces dedicated to AI command centers, high-tech robots, and robust data infrastructure. Existing facilities, however, don’t have that luxury.
Healthcare designers must determine how much space robots will require: Where will they be stored? How and where will they charge? Where will maintenance occur? Will specific rooms be needed for these functions? In most cases, facilities will need to reallocate space — either by repurposing general-purpose areas or constructing entirely new rooms.
Next‑generation robots are intelligent, AI‑powered, and increasingly vital to health systems’ delivery of care. As they begin autonomously navigating hospital corridors, they will likely require dedicated pathways. Hallways may need delineated lanes and specialized public‑awareness signage to prevent congestion and accidents. Designers might even incorporate creative solutions such as interior drones and ceiling‑ or floor‑mounted navigation systems.
Operating rooms also need to accommodate advanced robotics and multimodal imaging technologies. Robotic surgical systems and other high-tech equipment are expected to make these specialty rooms even larger.
Building on the success of telehealth, one approach hospitals and medical facilities are using to increase accessibility is creating dedicated spaces for both healthcare providers and remote patients. These spaces are specifically designed with widescreen visibility, high‑definition cameras, and sound‑isolating features for privacy. This strategy benefits patients by allowing them to remain comfortably at home rather than making costly, time‑consuming trips to healthcare facilities.
Energy and Data Considerations: The Additional Demands of AI and Robots
Healthcare designers also must consider energy requirements when preparing medical facilities for the widespread adoption of AI and advanced robotics. These technologies require significant energy to function and generate massive amounts of data, which in turn demands immense computational power.
Additionally, the future of healthcare includes smart‑room technology, giving patients easy control over multiple aspects of their environment, including lighting, temperature, sound, and streaming services. While these amenities enhance comfort and improve the patient experience, they will similarly introduce additional power and data requirements.
Effective strategies healthcare designers can leverage to address these challenges include integrating renewable energy sources, implementing advanced cooling and heat recovery systems, and building robust data infrastructure. Of course, all of these solutions will necessitate sufficient space allocations.
Although AI is driving increased energy demands, it can also help optimize energy management. AI- and machine learning-driven building management systems, for instance, can reduce hospital energy consumption by optimizing HVAC systems, lighting, and other utilities based on real-time data, occupancy, and predictive analytics.
The Importance of Flexibility in Healthcare Design
As with most technological leaps forward, healthcare designers will face unknowns as they work to create optimal spaces to heal, work, and thrive. The spatial and energy demands of AI-enabled robots in healthcare are no exception. We can position current and future healthcare facilities for success by designing adaptive, scalable spaces. The more modular and flexible these designs are, the more seamlessly they can incorporate technological upgrades.
