A smart hospital uses interconnected technologies such as AI, the internet of things and digital platforms to automate workflows, improve patient outcomes, and reduce costs across clinical and management systems.
Here are 20 hospitals and health systems built around that approach.
Note: Becker’s Healthcare developed this list based on editorial research. This list is not exhaustive, nor is it an endorsement of the hospitals, health systems or companies mentioned. Organizations are presented in alphabetical order.
For questions and comments on this list, contact Anna Falvey at afalvey@beckershealthcare.com.
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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 stryker.com/smarthospital.
Beth Israel Deaconess Medical Center (Boston). Beth Israel Deaconess Medical Center is an early adopter of advanced health IT, pioneering AI in diagnostics and machine learning tools. For instance, a BIDMC-led randomized trial found that physicians using a large language model made management decisions with a lower rate of potential harm than those without one. In addition, this spring the medical center became the first in the nation to provide patients with access to a tool that blends AI with routine mammograms to detect a patient’s future risk of breast cancer. The hospital also built one of the first hospital-based technology testing centers, the Health Technology Exploration Center, with partners including Amazon, Google and Microsoft.
Boston Children’s Hospital (Boston). Boston Children’s Hospital deeply integrates AI into its care practices, creates standardized tools that enable IT systems and data interoperability, and launches advanced digital health platforms. Its virtual nursing pilot launched in the hospital’s largest inpatient medical unit in 2022 to meet growing demands, and has since expanded. Boston Children’s was among the first to launch a ChatGPT-style platform hospitalwide, and was one of 16 founding members of Microsoft’s “Trustworthy and Responsible AI Network” in 2024. In July 2026, Boston Children’s Hospital and OpenEvidence, the leading AI-powered clinical decision support platform, shared that they have entered a multi-year partnership aimed at investigating the ways that clinicians’ practical, point-of-care AI usage impacts care delivery.
Boston Medical Center. With its home-acute care technology, mobile facility integrations and data-driven infrastructure, Boston Medical Center is continuously increasing its smart capabilities. The hospital uses an AI-powered discharge planning platform directly inside its EHR, creating early discharge plans, adding bed capacity and saving staff hours. Boston Medical Center launched a hospital-at-home program in April 2024 covering 245 diagnoses, monitored through a 24/7 command center, and framed explicitly as a way to extend acute care to its safety-net population. Also in 2024, the hospital also piloted a machine learning platform in partnership with a data science firm, embedding social and environmental data with clinical records to pinpoint and lessen racial disparities in patient outcomes.
Brigham and Women’s Hospital (Boston). Brigham and Women’s Hospital is pushing the boundaries of patient care with innovations like machine learning for diagnostics, cutting-edge imaging tech and home-hospital monitoring. In 2019, the hospital entered a $50 million, 10-year AI research collaboration with IBM Watson Health, shared with Nashville, Tenn.-based Vanderbilt University Medical Center. The projects spawned from this collaboration focus primarily on patient safety and clinical workflow. The hospital has taken on AI-driven precision medicine projects, harnessing machine learning to combat issues like Clostridioides difficile bacterium. Brigham and Women’s also co-developed its home hospital program with a global technology company, using wearable biosensors and AI analytics to monitor acute patients remotely. Additionally, it has deployed ambient AI documentation across its clinicians, a rollout linked to a 21.2% reduction in reported burnout after 84 days of use. Brigham and Women’s also worked on an MRI-guided robotic device for deep brain stimulation placement and on the AI-driven “Radiology Operations Module,” meant to predict missed care opportunities.
Cedars-Sinai Medical Center (Los Angeles). Cedars-Sinai Medical Center enhances patient care, lessens clinical overwhelm and optimizes clinical workflows by employing novel AI tools, real-time data analytics and digital-first platforms. The medical center built Cedars-Sinai Connect, an AI-powered virtual care platform developed with K Health that streamlines intake and makes care more convenient. Cedars-Sinai also piloted a voice-assisted nursing documentation tool and, in 2026, gave clinicians enterprise access to OpenEvidence, which links real medical literature to a patient’s own EHR data. Cedars-Sinai also works to evaluate and monitor its own growing library of AI tools, ensuring continuous safety and regulation across the lifecycle of each AI solution they implement.
Cleveland Clinic. Cleveland Clinic’s smart hospital operations run on a multi-year partnership with Palantir, whose platform powers a virtual command center that forecasts patient census, staffing and bed availability in real time. The health system credits the tool with a 7.6% increase in patient transfers to its main campus and a 40% cut in unused orthopedic operating room time. Cleveland Clinic has paired that operational backbone with clinical AI, including an ambient documentation rollout and a model that reads a full day of electroencephalogram data in mere seconds for its neurological ICU. The system also announced a global AI-based healthcare delivery platform with Oracle and G42 in May 2025, with the goal of making patient care and public health management better through AI, data analytics and intelligent clinical applications.
Hospital for Special Surgery (New York City). Hospital for Special Surgery hired its first chief digital and technology officer in 2024, now leading an emerging-technologies committee that evaluates AI, robotics and surgical-navigation vendors. The hospital also runs an Innovation Center for AI in Robotic Joint Replacement, feeding data-driven recommendations into robotic systems for knee and hip. In July 2025, HSS deployed an ambient AI documentation platform enterprisewide across roughly 200,000 patients a year, customized to capture orthopedic-specific details such as imaging findings and laterality. In January 2026, the hospital added an agentic AI tool specializing in natural, conversational language to handle scheduling, triage and specialist-matching for patients calling in. Part of a three-year deal, the hospital will expand the tool’s AI capabilities into internal operations like human resources and IT support.
Houston Methodist Hospital. Houston Methodist Hospital used the construction of its Houston Methodist Cypress (Texas) Hospital in 2021 as an opportunity to build care models predicated on the latest and forthcoming healthcare technology innovations. The very walls of the hospital were created with emerging technologies in mind, crafted with flexibility that makes trialing new tech simple. Systemwide, Houston Methodist employs an ambient documentation tool that cuts documentation time, and has installed computer vision cameras in operating rooms to increase operating room capacity without added staff. Houston Methodist also runs a connected virtual care platform spanning virtual ICU, virtual nursing and telemonitoring, where biosensor-based monitoring lets one clinician track roughly 500 patients. It also uses a platform built on more than 100 million patient records to generate personalized risk scores, embedded directly in its EHR. In June 2026, the hospital began a systemwide rollout of an AI imaging platform to flag urgent findings for radiologists.
Johns Hopkins Hospital (Baltimore). Johns Hopkins Hospital first built its smart hospital reputation through the Judy Reitz Capacity Command Center, launched in 2016. The center used predictive analytics to help Johns Hopkins create the equivalent of 16 additional beds without adding space, thanks to reduced emergency department boarding, declining operating room holds and increased patient transfers. The hospital recently replaced the command center displays systemwide with Epic’s capacity management dashboards in 2025 for a modernized, completely integrated solution. Johns Hopkins has also developed a machine-learning sepsis early warning system, which flags severe sepsis hours earlier than traditional detection and was linked to an 18.2% relative reduction in sepsis mortality. Since the tail end of 2024, the hospital has used ambient AI documentation to ease the burden and distraction of repetitive tasks for clinicians.
MD Anderson Cancer Center (Houston). MD Anderson Cancer Center is known for its ability to merge AI, data science and telemedicine into cancer research and patient care. In November 2023, it opened its Institute for Data Science in Oncology. The institute is developing digital twin models meant to simulate a patient’s likely response to chemotherapy, radiation and immunotherapy combinations before treatment begins. MD Anderson also offers highly advanced remote care programs that allow specialists to see a high volume of out-of-state and virtual patients for supportive and palliative care. In January 2026, MD Anderson announced a partnership with Sophia Genetics to build AI-powered bioinformatics pipelines for genomic testing.
Mayo Clinic (Rochester, Minn.). Mayo Clinic’s smart hospital strategy centers on AI infrastructure and digital twin technology built with outside partners. In 2025, Mayo deployed an top-of-the-line infrastructure with cutting edge AI computing abilities, aiming to build foundation models for digital pathology, drug discovery and precision medicine. The infrastructure enables Mayo to cut analysis time from four weeks to one week, ultimately enhancing patient outcomes. In 2025, Mayo announced a collaboration with GE HealthCare on a digital twin radiation therapy initiative called GEMINI-RT, which merges imaging, AI and patient monitoring, and in 2026 announced a research collaboration called Molecular Imaging Biomarker-Based End of Therapy Trial, which will personalize radioligand therapy for advanced prostate cancer. The system also uses Google Cloud’s generative AI to search unstructured clinical data across patient records, and in 2025 it signed an enterprisewide agreement with Epic and Abridge to bring ambient AI documentation to 2,000 clinicians. Mayo’s “Advanced Care at Home” program has served more than 5,500 people using remote biometric monitoring.
Memorial Sloan Kettering Cancer Center (New York City). Memorial Sloan Kettering Cancer Center has assembled a wide network of AI partners focused on cancer-specific applications. In February 2025, the cancer center announced a collaboration with Amazon Web Services to build a longitudinal genomic, imaging and clinical data resource and to speed early-stage drug discovery. Memorial Sloan Kettering is also rolling out Abridge’s ambient documentation platform systemwide. In addition, the hospital is using Triomics’ generative AI to match patients to clinical trials automatically, and is in a multiyear partnership with ConcertAI to improve AI-powered imaging, radiology workflows and clinical decision tools. The cancer center is a founding member of the multi-institution Cancer AI Alliance, working alongside technology giants Microsoft, Google and Amazon.
Mount Sinai Hospital (New York City). Mount Sinai Hospital anchors its smart hospital status in AI-forward clinical tools, digital patient platforms, and smart supply chain and operations workflows. The hospital boasts the Hamilton and Amabel James Center for AI and Human Health, a 12-story facility that opened in November 2024 and houses the Windreich Department of AI and Human Health, the first such department at a U.S. medical school. Mount Sinai has strategically created novel machine learning models with functionalities like early malnutrition detection, as well as diagnostic imaging software that can identify signs of early disease based on scans. It offers the MyMountSinai app for virtual care, simple appointment scheduling and a virtual assistant. In June 2026, Mount Sinai announced a strategic partnership with an AI-powered supply chain automation platform, which will use computer vision-enabled supply capture and preference card optimization to optimize surgical supply management.
NewYork-Presbyterian Hospital (New York City). Always an early adopter of new technology, NewYork-Presbyterian had roughly 120 AI initiatives underway by late 2023 across clinical and nonclinical areas. In 2024, NYP launched a $2 billion capital campaign called “For Every Future,” which earmarks funding for further AI and robotics investment. Recent initiatives include an AI screening tool that discovers structural heart disease using electrocardiogram readings, a machine learning and patient data tool that helps predict who is likely to develop additional complications after aneurysmal subarachnoid hemorrhage, and an AI model that may help foresee the onset of schizophrenia post-early psychosis. The hospital also offers telehealth options for virtual urgent care, emergency and remote specialist consults. In 2025, NewYork-Presbyterian started a hospital-at-home program that uses remote monitoring devices to help care for patients from their homes.
Stanford Hospital (Palo Alto, Calif.). When Stanford Hospital opened its current building in November 2019, Stanford Medicine called it an internet of things hospital of the first order, running roughly 180 applications across connected biomedical devices, real-time location sensors and a fleet of autonomous robots that ferry linens and supplies. Its robotic pharmacy can package a high volume of medication doses very quickly, replacing hours of technician work. Stanford has since layered in AI tools including ChatEHR, a conversational interface that lets clinicians query patient records in plain language, and a Microsoft-built Healthcare Agent Orchestrator that uses multimodal AI to analyze things like imaging, pathology, genomics and clinical notes. The hospital also partnered with Qualtrics in 2025 on AI agents that predict missed appointments, address social determinants of health, deliver culturally appropriate support and more.
Texas Health Resources (Arlington). Texas Health Resources uses sophisticated EHR integration, advanced digital rooms and innovative AI tools. In June 2026, Texas Health partnered with clinical AI company Cadence in June 2026, joining other systems in a $100 million funding round for its “Proactive Care Engine,” which uses AI agents to monitor chronic-disease patients’ vital signs daily and alert care teams to emerging risks between visits. The system is also an investor in and first customer of a startup whose AI platform focuses on healthcare labor and supply chains. Texas Health runs a virtual medical command center for its “Texas Health Care at Home” hospital-at-home program, which has expanded to six hospitals systemwide. It also operates surgical robotic systems. Texas Health also partners with Stryker in its “Journey to Zero” mission, adopting a full suite of high-tech products that help lessen or eradicate common risks in the operating room.
Thomas Jefferson University Hospitals (Philadelphia). In 2016, Thomas Jefferson University Hospitals piloted “cognitive hospital rooms” with IBM Watson’s internet of things platform, letting patients adjust lighting, temperature and music by voice. The broader Jefferson Health system later expanded a partnership with BigBear.ai in 2023, allowing hospitals to create digital twins of hospital operations, continuously updating EHR data to predict patient census and bed availability. Also in 2023, Jefferson worked with Microsoft and Accenture to migrate its EHR for a more modern technology infrastructure that supports faster innovation. In September 2025, it launched a systemwide AI strategy aiming to reclaim more than 10 million hours of clinician time by 2028. Jefferson has since deepened that push with a January 2026 collaboration with Qualified Health that has identified generative AI use cases across its network.
UCLA Medical Center (Los Angeles). UCLA Medical Center, the flagship hospital for UCLA Health, ran what researchers called the first randomized trial comparing two commercial AI scribes, testing Microsoft’s DAX and Nabla across 238 physicians in 14 specialties and 72,000 patient encounters. The trial found that Nabla users cut note-writing time by about 9.5% more than the control group, and both arms reported roughly 7% improvement in physician burnout scores. In June 2026, UCLA Health launched its INOVAi Center of Excellence, one of the first U.S. programs dedicated to real-world testing of clinical AI tools, overseen by a formal AI council and focused on safety. The medical center uses advanced da Vinci robotic surgical systems across multiple specialties and has partnered with Nvidia and the National Cancer Institute on multimodal AI models that analyze patient data and medical images of disease at scale.
UCSF Medical Center (San Francisco). UCSF Health built its own internal AI governance and integration platform, called “Versa,” that connects third-party tools such as an ambient documentation system to its EHR. By spring 2026, roughly 70% of UCSF physicians were using an AI scribe daily. In July 2026, UCSF Health launched the Converge AI Accelerator in partnership with venture firms, aiming to embed AI companies directly in its clinical workflow. It has also built the Impact Monitoring Platform for AI in Clinical Care, described as the first continuous, automated monitoring platform for the safety and equity of deployed clinical AI tools. UCSF Health also signed a 10-year Care Alliance with GE HealthCare in February 2026 covering remote imaging, staff training and MRI optimization, building on an earlier joint research program with GE on imaging, brain health and precision oncology.
Virtua Health (Marlton, N.J.). Virtua Health partnered with care.ai in February 2024 with the goal of convert more than 1,000 inpatient beds into AI-enabled “smart rooms” by the end of 2025, using ambient sensors for fall detection alongside virtual nursing, tele-sitting and tele-ICU services run out of a centralized Care Logistics Center. This was the first-in-the-region, enterprisewide adoption of smart hospital rooms. The system has also built a custom sepsis-prediction model in Microsoft Azure, integrated into its EHR, that flags risk before onset and cuts false positives by more than 80% compared with commercial models. Virtua also built a transformer-based heart-failure prediction model that lifted eligible-patient identification to 97% and helped cut average length of stay in its heart-failure units by a day. Virtua has also partnered with Stryker, and in 2026 became the first in the Philadelphia region and South Jersey to provide robotic-assisted spine surgery with a navigation system that improves safety and allows for better outcomes. Stryker offers the only software currently available that enables safe zones, where surgical tools can be blocked from entering, lowering the potential for surrounding structures to incur damage.
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