OOpenEvidence builds AI-driven clinical decision support tools that help healthcare professionals make better choices at the point of care. It creates AI models and interfaces that integrate with existing platforms (notably through Mayo Clinic Platform Accelerate) and partner ecosystems like Elsevier Health to power products such as ClinicalKey AI. Clinicians use these tools inside their regular clinical workflows, with AI assisting by analyzing medical literature, guidelines, and patient data to suggest evidence-based options.
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Nabla, a clinical AI assistant, has integrated OpenEvidence's clinical decision support platform into its software, announced on October 15, 2026. Clinicians can now look up medical evidence without leaving their notes. From within Nabla, clinicians open "Clinical questions" and ask about the patient they are treating. Nabla passes anonymised context to OpenEvidence, including demographics, diagnosis, current medications, and the visit note. No protected health information is involved. Answers are sourced and cited from peer-reviewed literature. Nabla says the aim is to end the need to switch between apps and re-enter patient details. Nabla is used by more than 125,000 clinicians across 190 health systems and provider groups. It plans to make decision support more proactive by surfacing guidance at the right moment.
OpenEvidence, Johns Hopkins partner to bring AI into medical training and patient care. OpenEvidence and Johns Hopkins Medicine partner to develop AI tools for physician training and clinical care, with a focus on medical reasoning and patient safety. Oct 14, 2026 Johns Hopkins Medicine teams with OpenEvidence on AI training, patient care. Image: Accuray/Unsplash SignalFeeds may earn from vendors via affiliate links or sponsorships. This might affect product placement on its site, but not the content of its reviews. See its Terms of Use for details. AI is becoming part of medical practice, but training doctors to use it without weakening their clinical judgment presents a different challenge. OpenEvidence and Johns Hopkins Medicine on Oct. 13 announced a strategic collaboration to develop new approaches to medical education and clinical care, focusing on preparing future physicians for AI-assisted practice and helping clinicians apply current medical evidence to individual patients. The partnership has two main objectives: redesigning physician training for an AI-enabled environment and developing AI systems that connect medical research, patient histories and Johns Hopkins' clinical practices to support care decisions. The organizations plan to build adaptive AI systems for medical education while reinforcing core skills such as understanding disease processes, evaluating evidence, clinical reasoning, diagnosis and patient communication. "Johns Hopkins designed modern medical education around a simple idea: that physicians learn medicine at the bedside, grounded in science and reasoning," said Sanjay Desai, vice dean for education at Johns Hopkins Medicine. Clinical AI moves closer to everyday workflows. The clinical component will focus on AI systems that help physicians find relevant medical evidence and apply it in the context of a patient's history. The goal is to help clinicians assess information faster and make more informed decisions without removing their responsibility for patient care. Sara Murray, Johns Hopkins Medicine's chief medical informatics and AI officer, told Fierce Healthcare that the organizations intend to identify high-impact clinical applications, develop solutions that fit existing workflows and evaluate their effects on clinical decisions, care quality and patient outcomes. The specific capabilities remain under development. Fierce Healthcare also reported that OpenEvidence was not disclosing commercial arrangements, although CEO Daniel Nadler described the partnership as at least a research, development and product collaboration. The announcement follows OpenEvidence's other health care partnerships, including agreements with Penn Medicine, Memorial Sloan Kettering Cancer Center and AdventHealth. More must-read AI coverage. What the partnership could mean for doctors and patients. For medical students, adaptive AI could eventually offer more personalized instruction, identify gaps in clinical experience and provide additional practice where needed. Desai told Fierce Healthcare that AI could also help schools assess competency rather than relying primarily on time spent in training. For practicing clinicians, systems that connect evidence with patient histories could reduce the effort required to locate relevant guidance. Patients could benefit if those tools help doctors make more informed, individualized decisions. However, these benefits remain prospective, not demonstrated outcomes of the new partnership. AI recommendations must be evaluated for accuracy, relevance and consistency, while health systems must ensure clinicians retain appropriate oversight. The partnership's significance will ultimately depend on whether it produces measurable improvements in physician training and patient care. Making medical knowledge easier to access is useful; helping doctors apply it safely, critically and compassionately is the harder test. Other news: Google is partnering with Flo Health to combine menstrual cycle tracking with wearable health data and personalized AI insights. Aminu Abdullahi is a B2C and B2B technology and finance writer with more than six years of experience covering enterprise IT, cybersecurity, cloud computing, artificial intelligence, fintech, business software, and emerging technologies. He has written for a wide range of technical and business audiences, from IT professionals and cybersecurity leaders to small business owners, executives, and technology buyers. His work has appeared in publications including: TechRepublic eWEEK Channel Insider Geekflare Enterprise Networking Planet eSecurity Planet CIO Insight Webopedia With a background in computer science, Aminu specializes in translating complex technical subjects into clear, practical, and accessible content. His writing helps readers understand emerging technologies, evaluate business software, strengthen cybersecurity strategies, and make more informed decisions about technology investments. Across his work, Aminu focuses on the real-world impact of technology, connecting technical innovation with business value, operational efficiency, security, and long-term digital transformation.
OpenEvidence and Johns Hopkins Medicine announce landmark collaboration to design the future of medicine and medical education in the age of AI. October 14, 2026 OpenEvidence, the most popular AI for doctors in the United States, today announced a strategic collaboration with Johns Hopkins Medicine (JHM) to reimagine medical education and clinical care in the age of artificial intelligence. The collaboration spans two foundational pillars: preparing the next generation of clinicians for the future in which they will practice and ensuring every patient receives care grounded in the latest, evidence-based clinical guidelines. Ultimately, this is about using AI to serve what has always mattered most - better outcomes for patients. The collaboration begins from the shared conviction that the emerging transformation in medicine requires a deliberate reimagination of both education and clinical practice. As AI becomes capable of surfacing and synthesizing the world's medical knowledge in seconds, the role of the clinician shifts toward what cannot be automated: first-principles reasoning, clinical and contextual judgment, and the deeply human work of caring for patients. Johns Hopkins established the current model of medical education in the United States more than a century ago. OpenEvidence, the most widely adopted medical AI in the United States, has transformed how physicians access and interact with medical knowledge. Together, OpenEvidence and Johns Hopkins will design a medical education model that strengthens foundational principles - a deep understanding of pathophysiology, evidence-based medicine, clinical reasoning from first principles, and the diagnostic and interpersonal skills at the heart of capable and compassionate care - while creating novel adaptive AI systems that prepare physicians to lead, and continuously learn, in an AI native environment. Just as Johns Hopkins defined the standard for 20th-century medical training, the two organizations aim to define what rigorous, patient-centered medical education looks like in the AI era. "Johns Hopkins designed modern medical education around a simple idea: that physicians learn medicine at the bedside, grounded in science and reasoning. The arrival of AI, in many ways, invites us back to the bedside with new tools and capabilities we have yet to fully imagine. Working with OpenEvidence enables us to design and inspire, very deliberately, the model of education and the practice of medicine for this new era," said Sanjay Desai, MD, MACP, Vice Dean for Education, Johns Hopkins Medicine. "The question in front of medicine is not whether AI will change the physician's role - it is who will define that change, and on what principles," said Travis Zack, MD, PhD, Chief Medical Officer of OpenEvidence. "We believe the future of medicine should be built, not reacted to, and that it must keep patients at the center. There is no institution better suited to build it with than Johns Hopkins, the birthplace of modern medical education." Together Open Evidence and Johns Hopkins Medicine will also develop human-first AI systems designed to improve care delivery - surfacing and synthesizing the best available evidence in the context of the patient's own medical history and best practices established at Johns Hopkins Medicine. Sophisticated AI will empower clinicians to more quickly reason through that information, contextualize it, and make the best decision for their patient. "Johns Hopkins clinicians always strive to deliver the best care in the world. This collaboration with OpenEvidence is an opportunity to build on that - giving them tools that make every encounter more informed, more precise, and more attuned to the individual patient in front of them," said Sara Murray, MD, MAS, Chief Medical Informatics & AI Officer, Johns Hopkins Medicine.
Johns Hopkins has selected OpenEvidence, which is already used by 1.12 million medical professionals in the U.S. Johns Hopkins Medicine is launching a partnership with OpenEvidence focused on clinical practice and physician training, reports Fierce Healthcare. The parties will develop AI systems that integrate the evidence base with patient medical records and Johns Hopkins protocols, using them to build a new model of medical education. OpenEvidence describes Johns Hopkins as the birthplace of modern medical education. Recently, Northwestern Medicine announced that it had integrated OpenEvidence into its Epic electronic health record system. The service is accessible to nurses, pharmacists, and other clinical staff in addition to physicians, with access provided via hospital credentials. Prior to this, OpenEvidence had been adopted by Mount Sinai, Cedars-Sinai, Penn Medicine, NewYork-Presbyterian, and AdventHealth. OpenEvidence is free for US medical professionals; according to the company, 1.12 million licensed specialists used the platform in September. Integrations are moving the service from physicians' mobile phones into the operational systems of the country's largest health systems - and, through the Johns Hopkins partnership, into the training of the next generation of medical professionals. In September, Forbes reported that investors valued OpenEvidence at $15 billion, a 25% increase over its valuation in the January funding round. OpenEvidence is available in its app.
Northwestern Medicine and OpenEvidence, an AI-powered medical search and clinical decision-support platform, have announced a collaboration to embed OpenEvidence directly in the electronic health record (EHR). Since October 8, clinicians at the Chicago health system can launch the tool from Epic, signed in automatically with their hospital credentials. Nurses, pharmacists and other clinical staff get access for the first time. Users can check medication dosing and drug interactions, review guidelines, and get cited answers drawn from peer-reviewed literature, including the New England Journal of Medicine and the JAMA Network. The enterprise-wide rollout is the first phase of a broader effort to ensure AI is used safely at the bedside. Northwestern Medicine runs 11 hospitals and more than 200 diagnostic and ambulatory sites.
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Industries
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$1B
Headquarters
Miami, Florida
Founded
2022
Find jobs on Simplify and start your career today