Issue link: https://beckershealthcare.uberflip.com/i/1546616
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. e very walls of the hospital were created with emerging technologies in mind, craed 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. e 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. e 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. e 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. e 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 erapy Trial, which will personalize radioligand therapy for advanced prostate cancer. e 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. e cancer center is a founding member of the multi-institution Cancer AI Alliance, working alongside technology giants Microso, 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. e 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 soware 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 aer aneurysmal subarachnoid hemorrhage, and an AI model that may help foresee the onset of schizophrenia post-early psychosis. e 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 Microso- built Healthcare Agent Orchestrator that uses multimodal AI to analyze things like imaging, pathology, genomics and clinical notes. e 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. Texas Health partnered with clinical AI company Cadence in

