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Feb 13, 2026·Beckers Health IT

Epic Systems has launched AI Charting, a tool that listens during patient visits to draft clinician notes and suggest orders in real time, aiming to reduce the documentation burden on healthcare providers. This feature, part of Epic's AI suite known as Art, allows customization of notes through voic

Feb 13, 2026·Healthcare IT News

Researchers at Mass General Brigham have introduced an innovative AI model, BrainIAC, designed to predict dementia risk and other health outcomes using sparse datasets. By leveraging self-supervised learning on over 49,000 brain MRI scans, BrainIAC can effectively navigate the variability inherent in medical images, a common obstacle in AI application within healthcare. This model's ability to generalize across both healthy and abnormal data makes it a significant tool for clinicians facing challenges with traditional annotated datasets, potentially improving outcomes in diagnosing and predicting diseases like dementia and brain cancer. The development of such adaptable AI technologies could enhance diagnostic accuracy and efficiency in diverse clinical settings.

Feb 13, 2026·HealthTech Magazine

Mayo Clinic has launched the Nurse Virtual Assistant, a generative AI tool aimed at enhancing nurses' efficiency by simplifying access to patient care and institutional data. This innovation addresses the significant challenge of navigating electronic health records, thus relieving nurses of time-consuming tasks and allowing them to focus more on patient care. By developing this solution internally and incorporating nurse feedback, Mayo Clinic emphasizes the necessity of tailoring healthcare technology to meet specific user needs. As healthcare organizations explore similar smart assistants, prioritizing real problem-solving capabilities becomes essential to improve patient interactions and meet growing consumer expectations for seamless digital experiences.

Feb 13, 2026·Beckers Health IT

M Health Fairview, a leading healthcare system in Minneapolis, is set to implement Nabla's ambient AI assistant and dictation solution across its network, becoming the first major health system to adopt this unified platform. After a successful multiphase pilot program, clinicians reported enhanced documentation completeness and improved workflow efficiency when using the AI technology integrated with the Epic electronic health record system. The positive feedback indicates that ambient AI could significantly streamline clinical operations and alleviate administrative burdens for healthcare professionals. This move highlights the growing importance of advanced technology in improving patient care and operational efficiency in healthcare settings.

Feb 13, 2026·Nextgov/FCW

The Department of Veterans Affairs (VA) is significantly increasing its reliance on artificial intelligence (AI) to enhance operations and support veterans, particularly through programs like REACH VET, which identifies individuals at high risk of suicide. As the VA shares its AI use case inventory, it shows growth in AI applications, with 367 cases listed for 2025, up from 227 in 2024. While these advancements aim to assist human intervention in mental health care, concerns have been raised about the risks of implementing generative AI in clinical environments. This trend underscores the need for healthcare professionals to remain vigilant about the integration of AI technologies in their practice, balancing innovation with safety and ethical considerations.

Feb 13, 2026·Healthcare IT Today

Epic's recent "Cool Stuff Ahead" presentation unveiled significant advancements in AI solutions for healthcare, including the launch of its ambient AI charting tool, Art, designed to streamline clinical documentation. Corey Miller, Epic's VP of R&D, highlighted the increased adoption of AI technologies, such as Emmie for patient engagement and Penny for revenue cycle management, since their introduction in August. The AI Charting feature enables clinicians to create notes and suggest orders based on patient interactions, with forthcoming enhancements aimed at further improving documentation accuracy and workflow efficiency. These innovations underscore the potential of AI to transform healthcare practices by reducing administrative burdens and enhancing patient care.

Feb 12, 2026·Mayo Clinic News Network

Siemens Healthineers and Mayo Clinic are expanding their strategic collaboration to enhance patient care for neurodegenerative disease and the management of prostate cancer and metastatic liver tumors. The two organizations have signed an agreement that will improve care for people with those diseases and expand access to new imaging and interventional technologies. "Our goal is to make care more precise, less invasive and more responsive to each patient's needs," said Eric Williamson, M.D., professor and chair, Diagnostic Radiology, Mayo Clinic. "By expanding our collaboration, we can bring advanced imaging, artificial intelligence and innovative treatment approaches directly into everyday clinical care, potentially helping patients receive earlier diagnoses, more personalized treatment plans and better outcomes." Added John Kowal, president and head of the Americas at Siemens Healthineers: "Improving the diagnosis and treatment of neurodegenerative disease and cancer is core to our purpose as a company. Our collaboration with Mayo Clinic creates significant opportunities to help extend the quantity and quality of patients' lives."

Feb 11, 2026·Michigan Medicine

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% accuracy and predicted how urgently a patient required treatment. Researchers say the first-of-its-kind technology could transform neuroimaging at health systems across the United States. The results are published in Nature Biomedical Engineering. “As the global demand for MRI rises and places significant strain our physicians and health systems, our AI model has potential to reduce burden by improving diagnosis and treatment with fast, accurate information,” said senior author Todd Hollon, M.D., a neurosurgeon at University of Michigan Health and assistant professor of neurosurgery at U-M Medical School.

Feb 10, 2026·Forbes

The television series "The Pitt" examines the integration of generative AI in healthcare through a narrative focused on two doctors with differing views on technology's role in medicine. While Dr. Baran Al-Hashimi supports AI tools for improving efficiency and patient care, Dr. Michael "Robby" Robinavitch emphasizes the importance of human intuition, especially after an AI-generated medication error highlights the risks involved. The episode reflects the ongoing debate within the medical community regarding AI adoption, portraying its usage primarily in administrative roles rather than for direct clinical enhancements. This portrayal underscores the critical need for human oversight in the implementation of AI technologies in healthcare settings.

Feb 5, 2026·Epic Systems

Epic Systems has launched AI Charting, a tool that automates documentation during patient visits by capturing clinician-patient conversations and generating real-time notes and order suggestions. This innovation is crucial for alleviating the administrative workload on healthcare providers, allowing them to prioritize patient interactions and enhance the accuracy of medical records. As part of Epic’s broader AI integration strategy, AI Charting aims to improve healthcare delivery efficiency, while its growing adoption—evidenced by the 16 million monthly uses of its associated Insights feature—highlights a significant trend towards greater reliance on AI technologies within clinical workflows. Additionally, Epic's AI capabilities extend to operational aspects with tools like Penny, indicating the potential to enhance overall healthcare management.

Feb 5, 2026·Google Research

a diverse set of perspectives is considered in evaluating AI's role in healthcare. The nationwide randomized study highlights the potential of AI to improve patient outcomes and streamline processes in virtual healthcare, providing crucial evidence on its effectiveness compared to traditional methods. By involving various stakeholders in the research, the study aims to tackle the ethical and practical challenges of AI integration, setting the stage for a more efficient and equitable healthcare delivery system. The findings could significantly influence future policies and practices surrounding AI use in healthcare settings.

Feb 5, 2026·Mashable

Rent-a-Human, a newly launched platform that connects AI agents with human labor for tasks requiring physical presence, has sparked widespread debate in the tech community regarding the implications of AI on the labor market. Founded by Alexander Liteplo, the platform coincides with the increasing interest in AI tools like the open-source project OpenClaw, highlighting a trend of rapid coding practices known as "vibe coding" that may overlook quality control. While the service boasts over 81,000 human signups, concerns about its reliability and the potential commodification of human labor raise important questions for healthcare professionals about the future role of AI in service delivery and workforce dynamics. The ambiguity surrounding Rent-a-Human's intentions and the efficacy of its offering could impact how healthcare technologies integrate human input in an evolving digital landscape.

Feb 4, 2026·HSS News

The Hospital for Special Surgery (HSS), a leading institution in musculoskeletal health, has integrated advanced artificial intelligence (AI) technologies to enhance patient access and streamline care delivery. This initiative aims to reduce wait times and optimize scheduling, reflecting HSS's commitment to innovation in healthcare. Known for its high quality of care, the hospital has consistently ranked at the top for orthopedics, rheumatology, and pediatric orthopedics. The move towards AI not only improves patient experiences but also supports HSS’s ongoing research efforts dedicated to advancing the field of musculoskeletal health.

Feb 4, 2026·Dark Reading

OpenAI's launch of ChatGPT Health aims to improve consumer access to health advice while raising important concerns about data security and safety in healthcare technology. While the platform is designed to empower users with personal health information, it is explicitly stated that it should complement—not replace—professional medical care. The integration of users' medical records with third-party applications introduces risks related to data privacy and potential breaches, despite assurances of robust encryption and security measures. Healthcare professionals must remain vigilant about these concerns as such technologies become more prevalent in the sector.

Feb 3, 2026·Humana News

Humana Inc. has introduced Agent Assist, an AI-driven solution created in partnership with Google Cloud, aimed at improving member support through enhanced digital engagement. This tool provides real-time summaries of call conversations and anticipates member needs, enabling advocates to offer more personalized and efficient service while minimizing their manual workloads. By prioritizing compliance, data privacy, and transparency, Agent Assist exemplifies Humana's dedication to responsible AI use in healthcare. The successful integration of this technology into call center operations could significantly enhance the quality of member interactions and overall healthcare delivery.

Feb 2, 2026·Oracle

Oracle Health has enhanced its Clinical AI Agent by integrating automated order creation, enabling it to draft clinical orders during patient appointments using ambient listening technology. This feature aims to alleviate the administrative workload of healthcare providers by automating routine tasks such as entering laboratory tests and prescriptions, thereby allowing for more focus on patient care. By ensuring that orders are contextually relevant based on previous interactions, patient history, and provider preferences, the system seeks to streamline clinical workflows. This innovation underscores the potential of AI to transform healthcare practices by reducing inefficiencies and improving the quality of patient interactions.

Feb 2, 2026·Healthcare Brew

Hospital pharmacies are facing significant challenges, primarily due to drug shortages, compliance issues, and soaring specialty drug costs. A Tecsys report indicates that 44% of surveyed executives view drug shortages as their top concern, collectively costing U.S. hospitals $900 million and 20 million labor hours each year. Despite a reduction in new shortages expected by 2025, drug spending continues to escalate, constituting about 9% of hospitals' budgets. To mitigate these issues, a growing number of hospital leaders are turning to AI and machine learning technologies to better forecast demand and manage inventory, highlighting the need for healthcare professionals to adopt innovative solutions in supply chain management.

Jan 29, 2026·V-Chandra's Blog

Recent advancements in running large language models (LLMs) on mobile devices are reshaping healthcare technology by enhancing latency, privacy, cost efficiency, and accessibility. Key developments stem from innovative model design, compression, and deployment strategies that allow on-device processing, sidestepping delays associated with cloud computing and safeguarding patient data. However, challenges persist, including limitations in memory, compute power, and energy consumption on mobile devices, necessitating the use of model compression techniques to ensure efficient performance. Addressing these constraints is crucial for healthcare professionals seeking to leverage AI technology for improved patient outcomes while maintaining data security.

Jan 29, 2026·Healthcare IT News

A new safety net program in the San Francisco Bay Area is utilizing artificial intelligence (AI) to improve medical responses for the homeless population, which has increased by 6% in the past year. By leveraging Akido Labs' AI technology, community health workers collect and analyze clinical data to facilitate expedited treatment recommendations, which are then validated by physicians. This initiative aims to enhance healthcare access for the unhoused, who often depend on emergency services, and ultimately seeks to reduce hospitalization rates while addressing prevalent health issues such as diabetes and mental health disorders. The use of AI not only optimizes resource allocation but also enables a single physician to manage a larger support team, potentially transforming how healthcare is delivered to vulnerable populations.

Jan 29, 2026·NYU Langone Health

A study from NYU Langone Health reveals a new AI tool that successfully predicts the need for skilled nursing facility care post-hospital discharge, achieving 88% accuracy. By analyzing patient electronic health records, the AI generates concise summaries of doctor notes to identify seven risk factors influencing care requirements. This advancement could help hospitals ensure appropriate discharge planning, reducing the likelihood of patients lacking safe post-discharge options. The findings underscore the potential for AI to enhance patient care management and resource allocation within healthcare systems.