The company has licensing agreements with peer-reviewed medical journals, and OpenEvidence’s model was not connected to the public internet while trained, Nadler said. Using tailored data helped OpenEvidence avoid the pitfalls of “hallucination,” which is a phenomenon where AI will generate inaccurate, sometimes nonsensical answers to a query. He noted that Mount Sinai also uses secure ChatGPT environments for medical education, ensuring protected health information never leaves their cyber-secure systems. A reminder that data privacy remains central to AI adoption in healthcare. It is a completely separate system built on proprietary AI models and trained exclusively on a curated database of peer-reviewed medical literature.
- Word of mouth is responsible for much of their growth, which has allowed them to be the most capital efficient of the breakout AI applications GV has been tracking.
- He was also named to the TIME100 Health list as one of the most influential people in global health.
- It uses advanced natural language processing to scan, summarise, and synthesise vast amounts of medical literature, from journals like NEJM and JAMA, into clear, evidence-based insights.
- This portal, run by the Medical Council of Canada (MCC), is the central hub for your medical credentials, which are crucial for the medical licensing exam.
Is OpenEvidence a ChatGPT wrapper?
- The company’s focus is on becoming an indispensable tool in the physician’s workflow, creating a large, engaged user base.
- The business model is reported to be similar to that of Google Search.
- But what really sealed it for me was the shared enthusiasm from our life sciences team.
For the physician on the front lines, that is the only thing that matters. As a privately held company funded by venture capital, there is currently no way for the general public to buy “open evidence ai stock.” Investment is limited to accredited investors through private funding rounds. As of mid-2025, the company reported that over 40% of U.S. physicians were using the platform, and it was involved in millions of clinical consultations per month. The MINC is a unique, lifetime identifier assigned to every individual who enters the Canadian medical education or practice system.
Business Technology Overview
BUT I’ve found mistakes at times, so have used with caution. Love it, especially to help my continued learning/critical thinking as a fairly new practitioner, without extensive time scanning multiple articles/sites. That approach, prioritising reach over cost, has helped OpenEvidence scale rapidly while maintaining alignment with physicians’ needs. It has also attracted major investors, including Google, underscoring confidence in its long-term value.
A benchmark of just how clinically reliable its reasoning has become. A tool that does for medicine what computer systems did for Wall Street analysts. https://p1nup.in/ The goal is to help clinicians stay updated with the latest research, despite their hectic schedules. And to augment their ability to make informed decisions quickly.
As mentioned, the availability of a dedicated mobile app is a significant advantage for staying uptodate with medical research. It allows for true point-of-care use, whether you’re doing rounds in a medical center, in the clinic, or on call. The interface is designed for mobile, making it easy to type or dictate questions and review results on a smaller screen, which is crucial for busy medical directors. This directly answers the question, “Can OpenEvidence be used on mobile, considering its volume of medical data? If you’re a physician in Canada, you are likely familiar with DoctorsApply.ca. This portal, run by the Medical Council of Canada (MCC), is the central hub for your medical credentials, which are crucial for the medical licensing exam.
It may not be the flashiest AI tool in healthcare, but it’s quietly becoming one of the most impactful. A reminder that sometimes, the most powerful innovations are the ones that simply make hard work a little easier. While ChatGPT can provide general medical explanations, OpenEvidence is trained on peer-reviewed clinical data with transparent sourcing and licensing. The journey of AI in medicine is still in its early stages. But by focusing on a specific, high-stakes problem and solving it with a commitment to accuracy, sourcing, and security, OpenEvidence has built a tool that is not just technologically impressive, but genuinely useful.
Beyond a Standard Search: How OpenEvidence Works
Yes, OpenEvidence is the world’s leading platform for medical research. While primarily marketed to physicians, access is generally available to verified healthcare professionals. This often includes nurses, physician assistants, and others who require access to medical literature for their roles. The verification process is key for maintaining the integrity of OpenEvidence as a trusted source in medical licensing.
That means doctors can access up-to-date research legally and ethically, a crucial distinction in a field where misinformation can cost lives. It gives doctors instant access to credible research that can directly inform patient care. OpenEvidence is an AI platform built specifically for physicians. OpenEvidence’s Nadler said he thinks the health-care use cases are the antidote, and represent the upside potential of AI. He highlighted doctor burnout and projections of an almost 100,000 physician shortfall by the end of the decade. The company will also use the funding to forge strategic content partnerships, OpenEvidence said.
The Future of OpenEvidence and AI in Medicine
About OpenEvidence OpenEvidence is the fastest-growing clinical decision support platform in the United States, and the most widely used medical search engine among U.S. clinicians. Founded with the mission to organize and expand global medical knowledge, Open Evidence is actively used by more than 10,000 hospitals and medical centers and by over 40% of physicians in the United States. At its core, OpenEvidence is a clinical decision support platform that uses artificial intelligence to help healthcare professionals get fast, evidence-based answers to their questions at the point of care. Think of it less like a conversational AI and more like a highly intelligent medical librarian; OpenEvidence is transforming how we access medical information. You ask a clinical question in natural language, and it provides a synthesized answer grounded in peer-reviewed medical literature.
For Physicians: Streamlining Clinical Decision-Making
The funding from Sequoia represents the first round led by an institutional investor and brings the company’s total amount raised to more than $100 million. AI startup OpenEvidence is raising a fresh round of capital from Sequoia to scale its chatbot for doctors. Daniel has secured partnerships with the American Medical Association, the New England Journal of Medicine, and the Mayo Clinic. He was also named to the TIME100 Health list as one of the most influential people in global health. Daniel’s history with GV goes back much further than mine—we were early investors in his first company, Kensho, in 2013. That relationship and track record made this decision even more compelling.
My colleagues in life sciences are doctors and researchers by training, and they started hearing about OpenEvidence from colleagues at medical institutions nationwide. After trying it themselves, they realized OpenEvidence was nailing answers that other platforms couldn’t match. Krishna Yeshwant, a physician who co-leads our life sciences investment team, started using it daily, replacing tools he’d relied on for years. The challenge of keeping up with medical progress is only going to grow.
OpenEvidence vs. ChatGPT: Key Differences for Medical Professionals
It’s where you apply for MCC examinations (like the LMCC), manage your results, and have your credentials verified. Your MINC can be viewed from your doctorsapply.ca account, ensuring you have access to the latest medical research. Therefore, when a service like OpenEvidence requires your MINC for verification, doctorsapply.ca is the primary source for that information related to medical licensing. Understanding the link between your doctorsapply.ca account and your MINC is key to accessing the platform, which is essential for maintaining your United States medical licensing.
Tools like OpenEvidence don’t just streamline workflows; they help close that widening gap between innovation and implementation. Beyond its core search function, OpenEvidence has additional features designed to enhance its utility. OpenEvidence is not an “OpenAI wrapper” or a reskinned version of a general AI. It’s a purpose-built system running on its own proprietary models. OpenEvidence is the latest in a flood of Silicon Valley artificial intelligence deals. Following his sale of Kensho, Nadler self-funded OpenEvidence in 2021 before raising a friends and family round in 2023.
Tools like OpenEvidence represent a necessary evolution in how clinicians interact with information. By using AI to filter, synthesize, and present evidence, these platforms have the potential to reduce the administrative burden on physicians, mitigate burnout, and ultimately, improve the quality of patient care. OpenEvidence has also introduced a feature called DeepConsult. This is described as a more advanced reasoning model that can synthesize findings across multiple studies to answer more complex, multi-step clinical questions in family medicine. It aims to go beyond simple fact retrieval to provide more nuanced insights, for example, by comparing the efficacy of different treatments for a patient with a specific comorbidity profile. If the product is free, how does the company survive amidst a billion valuation?
This is a crucial detail when asking “Where does OpenEvidence pull from? ” – its curated, expert-only dataset is its greatest strength, especially in family medicine. While the platform is built with physicians in mind, its utility extends to other healthcare professionals who rely on evidence-based practice.