Pull to refresh
Logo
Daily Brief
Following
Why Sign Up
AI becomes a routine part of how American doctors practice medicine

AI becomes a routine part of how American doctors practice medicine

New Capabilities
By Newzino Staff |

OpenEvidence's one-million-consultation day marks a structural shift in clinical decision-making

6 days ago: One million physician-AI consultations in a single day

Overview

On March 10, 2026, verified physicians conducted one million consultations with OpenEvidence's artificial intelligence system in a single 24-hour period, the first time any medical AI platform has crossed that threshold. The company says a majority of practicing doctors in the United States now use it daily, and independent studies indicate more American physicians rely on it than on all other AI systems combined. In the span of roughly two years, a tool that didn't exist went from zero to embedded in the daily workflow of most of the country's doctors.

Key Indicators

1,000,000
Physician-AI consultations on March 10
First time any medical AI system reached this volume in a single day.
$12B
OpenEvidence valuation
As of January 2026 Series D round, up from $1 billion just eleven months earlier.
~$150M
Estimated annual revenue
Generated primarily through pharmaceutical advertising served to physicians between queries.
18M
Monthly consultations in December 2025
Up from roughly 3 million per month a year earlier, representing roughly sixfold growth.

Interactive

Exploring all sides of a story is often best achieved with Play.

Cecil Rhodes

Cecil Rhodes

(1853-1902) · Victorian Era · industry

Fictional AI pastiche — not real quote.

"A million consultations in a single day — the railways of medicine have arrived, and just as I laid iron across a continent to bind its peoples to one civilising order, so this machine binds the scattered knowledge of ten thousand journals into a single imperial intelligence that no provincial doctor dare ignore."

Dorothy Parker

Dorothy Parker

(1893-1967) · Jazz Age · wit

Fictional AI pastiche — not real quote.

"So the doctors have traded one oracle for another — only this one is sponsored by the very pills it's prescribing. We used to worry that medicine was becoming an art; now I see it's merely become advertising."

Ever wondered what historical figures would say about today's headlines?

Sign up to generate historical perspectives on this story.

Sign Up

Debate Arena

Two rounds, two personas, one winner. You set the crossfire.

People Involved

Organizations Involved

Timeline

  1. One million physician-AI consultations in a single day

    Adoption Milestone

    OpenEvidence announced that on March 10, verified physicians conducted one million consultations with its AI in 24 hours, the first time this threshold has been crossed by any medical AI system.

  2. Series D doubles valuation to $12 billion

    Funding

    OpenEvidence raised $250 million co-led by Thrive Capital and DST Global, bringing total funding to nearly $700 million and doubling the company's valuation in three months.

  3. Food and Drug Administration loosens clinical decision support guidance

    Regulatory

    The FDA updated its guidance on clinical decision support software, loosening requirements for tools that meet certain criteria—a regulatory shift that may affect how platforms like OpenEvidence are classified.

  4. Series C at $6 billion valuation

    Funding

    OpenEvidence raised $200 million led by Google Ventures, with Sequoia, Kleiner Perkins, Blackstone, and Thrive participating—tripling months after the Series B.

  5. First AI to score a perfect 100% on the USMLE

    Technical Milestone

    OpenEvidence's AI became the first in history to achieve a perfect score on the United States Medical Licensing Examination, the standardized test required for all physicians practicing in the country.

  6. Series B at $3.5 billion; DeepConsult AI agent launched

    Funding

    OpenEvidence raised $210 million co-led by Google Ventures and Kleiner Perkins and released DeepConsult, a free AI agent that autonomously analyzes and cross-references peer-reviewed studies for physicians.

  7. JAMA Network signs content partnership

    Partnership

    The JAMA Network, a consortium of 13 peer-reviewed journals published by the American Medical Association, signed a multi-year deal to provide full-text content to OpenEvidence.

  8. OpenEvidence named to Forbes AI 50 list

    Recognition

    Forbes included OpenEvidence in its annual AI 50 ranking of the most promising artificial intelligence companies.

  9. Sequoia-led Series A at $1 billion valuation; NEJM partnership

    Funding

    OpenEvidence raised approximately $75 million from Sequoia Capital and simultaneously signed a multi-year content agreement with the New England Journal of Medicine, granting access to all published content from 1990 forward.

  10. OpenEvidence AI first to score above 90% on medical licensing exam

    Technical Milestone

    OpenEvidence's AI system became the first to score above 90% on the United States Medical Licensing Examination, an early signal of the platform's clinical reasoning capabilities.

  11. OpenEvidence founded

    Company

    Daniel Nadler and Zachary Ziegler found OpenEvidence to build an AI-powered medical search engine grounded in peer-reviewed literature, self-funding the company initially.

Scenarios

1

AI-assisted clinical reasoning becomes standard of care

Discussed by: Sequoia Capital partners, health technology analysts at Fierce Healthcare, clinical AI researchers at Stanford

OpenEvidence and similar tools become so embedded in physician workflows that failing to consult AI before making certain clinical decisions is eventually viewed as a deviation from the standard of care. Medical schools integrate AI-assisted reasoning into training. Malpractice insurers begin factoring AI tool usage into risk assessments. This path follows the trajectory of UpToDate, which went from novel reference tool to something physicians are effectively expected to use within two decades, but compressed into a fraction of that time.

2

Pharmaceutical ad model triggers regulatory scrutiny or physician backlash

Discussed by: MedCity News, health policy analysts, Johns Hopkins researchers studying AI liability

As physicians grow more dependent on OpenEvidence, scrutiny intensifies around its pharmaceutical advertising revenue model. Critics question whether a tool that serves targeted drug ads between clinical queries can remain an unbiased source of medical guidance. The Food and Drug Administration (FDA) or the Federal Trade Commission (FTC) investigates whether the platform's ad targeting based on clinical search terms constitutes a form of off-label promotion. Alternatively, competing platforms with subscription models gain share by marketing themselves as ad-free alternatives.

3

A high-profile clinical error traced to AI triggers malpractice reckoning

Discussed by: Johns Hopkins AI liability researchers, the American Medical Association, medical malpractice law firms

A patient harm event is linked to a physician following an AI-generated recommendation that turned out to be incorrect or incomplete. The resulting lawsuit forces courts to grapple with liability allocation: is the physician responsible for over-reliance, the AI company responsible for the recommendation, or both? The case sets legal precedent and prompts either federal legislation or professional association guidelines on how physicians should document and verify AI-assisted decisions. Under current law, physicians bear full liability regardless of what the AI recommended.

4

Competitive landscape fragments as incumbents and new entrants close the gap

Discussed by: Clinical AI Report, Wolters Kluwer (UpToDate parent), Contrary Research, health technology venture analysts

UpToDate, Doximity, Glass Health, and new entrants integrate generative AI into their own platforms, eroding OpenEvidence's first-mover advantage. Electronic health record companies like Epic build AI clinical decision support directly into their systems, making standalone tools less necessary. OpenEvidence's growth plateaus as the market shifts from acquisition to retention battles. The company responds by expanding into enterprise pricing, electronic health record integration, and international markets.

Historical Context

IBM Watson for Oncology (2013–2022)

2013–2022

What Happened

IBM invested roughly $4 billion acquiring health data companies and building Watson for Oncology, an AI system designed to recommend cancer treatments. Watson was deployed at hospitals worldwide, including Memorial Sloan Kettering Cancer Center, with the promise of democratizing expert oncology care.

Outcome

Short Term

Reports surfaced that Watson recommended unsafe and incorrect treatments in some cases. Physicians found the system unreliable for their local clinical contexts, and adoption stalled.

Long Term

IBM sold most of its Watson Health assets in 2022. The failure became a cautionary tale about deploying AI that couldn't integrate into real physician workflows or handle the messiness of actual clinical data.

Why It's Relevant Today

OpenEvidence's approach—grounding answers in specific peer-reviewed sources rather than attempting autonomous diagnosis—appears designed to avoid Watson's core failures. But the question of whether any AI system can be trusted at the scale of one million daily consultations without Watson-style errors emerging remains open.

UpToDate's rise as clinical reference standard (1992–present)

1992–present

What Happened

UpToDate launched in 1992 as a digital clinical reference tool authored by physicians. Over two decades, it grew to serve more than 2 million clinicians in over 190 countries and became used by 90% of United States academic medical centers. More than 80 published studies linked its use to improved patient outcomes.

Outcome

Short Term

UpToDate became effectively mandatory in many clinical settings, with physicians expected to consult it as part of standard practice.

Long Term

Wolters Kluwer acquired UpToDate's parent company. The tool proved that physician-facing reference tools could reach near-universal adoption, but the process took roughly two decades. UpToDate charges approximately $559 per year per user.

Why It's Relevant Today

OpenEvidence is compressing UpToDate's multi-decade adoption curve into a few years, achieving comparable physician penetration with a free, ad-supported model rather than a subscription. The comparison raises the question of whether OpenEvidence is the next UpToDate or whether the speed of adoption outpaces the validation that made UpToDate trustworthy.

Google's entry into health search (2019–present)

2019–present

What Happened

Google began surfacing medical information panels and symptom-checker features in search results, partnering with the Mayo Clinic and other health organizations. By the early 2020s, an estimated 7% of all Google searches were health-related, making the search engine the de facto first stop for health questions among consumers.

Outcome

Short Term

Google became the dominant gateway for consumer health information, though concerns about misinformation and self-diagnosis persisted.

Long Term

The experience demonstrated that whoever controls the search interface for health information wields enormous influence. Google's health search, however, never achieved deep adoption among physicians for clinical use, leaving a gap that purpose-built tools filled.

Why It's Relevant Today

OpenEvidence is doing for physicians what Google did for consumer health queries—becoming the default first stop. Multiple analysts have described the company as becoming 'the Google of medicine,' with similar implications for influence over clinical information flow and similar questions about whether an advertising-funded model serves users' best interests.

Sources

(13)