‎OpenEvidence on the App Store

For most doctors, that’s an impossible pace to keep up with. Even reading just a fraction of the new research in one’s speciality could take nearly nine hours a day. GV is grateful to partner with Daniel and the entire OpenEvidence team as they build the future of medical information access.

Is OpenEvidence Free? Understanding the Cost and Business Model

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.

Clinical Decision Support

The developer, OpenEvidence Inc., indicated that the app’s privacy practices may include handling of data as described below. The platform is free for doctors, funded by advertising and strategic partnerships. It’s a striking reminder that while medical innovation is accelerating, the people delivering care are struggling to keep up.

• But what really sealed it for me was the shared enthusiasm from our life sciences team.
• The business model is reported to be similar to that of Google Search.
• Krishna and my colleagues from Cambridge arrived for what was supposed to be a 90-minute meeting.
• My colleagues in life sciences are doctors and researchers by training, and they started hearing about OpenEvidence from colleagues at medical institutions nationwide.
• The first step is to visit the website and create an account, which typically involves providing your credentials for verification.

Getting Started with OpenEvidence in the USA and Canada

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.

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.

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?

The Future of OpenEvidence and AI in Medicine

• Daniel’s history with GV goes back much further than mine—we were early investors in his first company, Kensho, in 2013.
• A benchmark of just how clinically reliable its reasoning has become.
• 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.
• The real magic of OpenEvidence lies in where it gets its information.

The ability to verify information is non-negotiable in medicine. Every piece of information it provides is linked back to the source literature. This allows a physician to quickly review the abstract or full paper, assessing the quality of the evidence for themselves. ChatGPT, on the other hand, often fails to provide real sources, and when it does, they are sometimes completely made up. This lack of transparency makes it unsuitable for professional medical use.

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 https://p1nup.in/ 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.

This explosive adoption speaks to the incredible product-market fit, but it’s also a result of Daniel’s unorthodox DTC (Direct to Clinician) approach. Instead of trying to sell into huge medical institutions, he’s letting practitioners use it for free and building adoption from the ground up. 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. Building on it, the company recently launched an AI scribe to further ease clinicians’ administrative load. OpenEvidence is also the only generative AI tool to score 100% on the U.S.

Is OpenEvidence a ChatGPT wrapper?

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.

OpenEvidence vs. ChatGPT: Key Differences for Medical Professionals

Is it actually useful, considering the volume of medical information it processes? This guide will break down everything physicians in the United States and Canada need to know about OpenEvidence, a medical information platform for health. “We are very excited about our long-term partnership with OpenEvidence as we enter the AI chapter in life sciences,” said Veeva CEO Peter Gassner.

Beyond a Standard Search: How OpenEvidence Works

The platform employs robust security measures to protect data. According to their security page, all data is encrypted both in transit (using SSL/TLS) and at rest (using AES-256). This helps ensure that any information you input is protected from unauthorized access. While it’s always best practice to avoid inputting personally identifiable patient information unless absolutely necessary, the platform’s HIPAA-compliant status provides a strong baseline of security and trust. For verified healthcare professionals, yes, OpenEvidence AI is free to use. For a practicing physician, trying to keep up while managing a full patient load feels less like a professional obligation and more like an impossible task.