O

OpenEvidence

by OpenEvidence

Industry & GovernmentEnterprise Search & Knowledge

Point-of-care medical answer engine, free to licence-verified clinicians

Free · Contact for pricing·Added Mar 31, 2026·Updated Aug 11, 2026
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THE DAILY BRIEF
OpenEvidence

by OpenEvidence

Industry & GovernmentEnterprise Search & Knowledge

Point-of-care medical answer engine, free to licence-verified clinicians

Free · Contact for pricing

OpenEvidence is a clinical answer engine that lets physicians ask natural-language medical questions and get cited, evidence-linked answers at the point of care. It is free to clinicians who verify a medical licence, monetised through pharmaceutical advertising and health-system contracts, and draws on licensed content from NEJM, JAMA, Wiley, Cochrane and the American College of Cardiology.

At a Glance

Category
Industry & Government
Pricing
Free, Contact for pricing
Target Market
Physicians, Health System CIOs, Clinical Informatics Leaders, Residents and Fellows, Pharmacists
Deployment
Cloud-only
Founded
2021
Headquarters
Cambridge, Massachusetts, United States
Customers
~40% of US physicians use it daily across 10,000+ medical institutions, with roughly 65,000 new registrations per month in H1 2026

Key Features

  • Cited natural-language clinical answers
  • Licensed journal corpus
  • DeepConsult deep research mode
  • Licence-verified free access
  • Epic EHR embedding
  • Multi-platform access

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Bedside evidence lookup
  • Checking current guidance before prescribing
  • Literature synthesis for rounds or M&M
  • Health-system-wide evidence layer in the EHR
  • Trainee education and case preparation

Ideal For

Best For

  • Point-of-care evidence lookup during a patient encounter, where a full literature search is not practical
  • Keeping up with fast-moving guidance in a subspecialty without reading every journal issue
  • Health systems wanting an evidence layer embedded in the Epic chart, as deployed at Sutter Health, Mount Sinai and Cedars-Sinai
  • Deep literature synthesis via DeepConsult, which reads many papers in parallel to assemble a research report
  • Residents, fellows and trainees who need cited answers rather than an uncited chatbot response

Not Ideal For

  • Patients and the general public — the product is explicitly positioned as a tool for verified experts and is not designed for self-diagnosis from entered symptoms
  • Clinical workflows that require differential diagnosis generation or drug dosing calculators; independent reviewers note these are absent and that teams usually pair it with a broader clinical decision support platform
  • Organisations that cannot accept pharmaceutical and medical-device advertising adjacent to clinical answers, since that advertising is the core revenue model
  • Buyers needing a documented public API or programmatic integration outside the enterprise Epic embed
  • High-stakes complex subspecialty reasoning used unsupervised — a December 2025 preprint reported 41% accuracy for DeepConsult and 34% for Quick Consult on subspecialty scenarios

Market Analysis

Vertical AIPoint-of-careAd-supported freemiumClinical decision support
User Rating4.3/ 5

Pros

  • Free at the point of care with only licence verification required, so adoption needs no budget, contract or IT project
  • Content is licensed from NEJM, JAMA and the AMA, Wiley, Cochrane and the American College of Cardiology rather than scraped, which is the substance behind the citation quality
  • Adoption at genuinely unusual scale — about 40% of US physicians daily, 10,000+ institutions, ~20 million monthly consultations as of January 2026
  • Rated 4.3 out of 5 and ranked second of seven clinical AI tools by Clinical AI Report across 16 physician reviews
  • Enterprise Epic embedding is real and shipping, with Sutter Health, Mount Sinai and Cedars-Sinai live between February and May 2026

Cons

  • No differential diagnosis generation and no drug dosing tools — independent reviewers say organisations needing those pair it with a broader clinical decision support platform rather than replacing one
  • Benchmark performance is uneven: 100% on USMLE-style questions but a December 2025 preprint reported only 41% for DeepConsult and 34% for Quick Consult on complex subspecialty scenarios, so the headline scores overstate hard-case reliability
  • The revenue model puts pharmaceutical and medical-device advertising directly alongside clinical answers, which is a structural conflict of interest buyers have to govern for explicitly
  • EHR integration is early — the first enterprise Epic deployments landed in February 2026, so for most users it is still a separate tab rather than an in-workflow tool
  • No public SOC 2, HIPAA or ISO 27001 attestation was discoverable, which is a gap for a tool being deployed enterprise-wide inside health systems
  • Structural competitive exposure: Epic and Oracle Health are building comparable capability natively, and UpToDate and ClinicalKey are adding AI to corpora they already own, while content licensing costs rise as publishers reprice AI access

Pricing

Verified clinician

$0

  • Unlimited Quick Consult and DeepConsult
  • Web, iOS and Android
  • Requires medical licence verification
  • Ad-supported

Health system / enterprise

Contact for pricing

  • Enterprise-wide deployment
  • Epic EHR embedding
  • Deployed at Sutter Health, Mount Sinai and Cedars-Sinai

Free at the point of use for licence-verified clinicians — there is no consumer tier and no self-serve paid plan, so an individual physician adopts it without any procurement step. The business runs on pharmaceutical and medical-device advertising priced at $70 to $1,000+ CPM, far above social-media rates, plus enterprise health-system contracts; Sacra estimates roughly $150M annualised 2025 revenue at about 90% gross margin and around $124 revenue per user. Buyers should price the advertising model as a governance question, not just a commercial one, since the ads sit next to clinical answers.

Security & Compliance

soc2
gdpr
hipaa
iso27001
sso
data residency

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OpenEvidence is a clinical answer engine that lets physicians ask natural-language medical questions and get cited, evidence-linked answers at the point of care. It is free to clinicians who verify a medical licence, monetised through pharmaceutical advertising and health-system contracts, and draws on licensed content from NEJM, JAMA, Wiley, Cochrane and the American College of Cardiology.

OpenEvidence, founded in 2021 by Daniel Nadler and headquartered in Cambridge, Massachusetts, is a clinical decision-support answer engine that has become the fastest-adopted physician application on record. Clinicians ask a question in natural language and receive a synthesised answer with inline citations back to the primary literature, delivered on web, iOS and Android. What separates it from a general-purpose chatbot is the corpus: OpenEvidence has signed content partnerships with the New England Journal of Medicine, JAMA and the AMA, Wiley, Cochrane and the American College of Cardiology, so answers are drawn from licensed full-text and multimedia sources rather than scraped abstracts. Two modes exist — Quick Consult for point-of-care lookups, and DeepConsult, launched alongside the July 2025 Series B, which reads many papers in parallel and assembles a research report using more than a hundred times the compute of an ordinary query. Access is free to any clinician who uploads medical licence documentation for verification; there is no paid consumer tier. Revenue comes from pharmaceutical and medical-device advertising at $70 to $1,000+ CPM plus enterprise health-system contracts, a model Sacra estimates produced roughly $150M annualised revenue in 2025 at about 90% gross margin, up 1,803% year over year. Scale is the headline: roughly 40% of US physicians use it daily, more than 10,000 medical institutions are on the platform, monthly clinical consultations reached about 20 million by January 2026, and a single 24-hour record of one million consultations was set on 10 March 2026. Enterprise Epic EHR deployments began with Sutter Health in February 2026, followed by Mount Sinai and Cedars-Sinai. A $250M Series D co-led by Thrive Capital and DST Global in January 2026 valued the company at $12B, taking total funding past $700M.

Ideal Buyer

Health systems and physician groups that want an evidence-lookup layer their clinicians already use, ideally embedded in Epic — and individual licence-verified clinicians, who can adopt it with no procurement at all.

Key Benefit

Cited, literature-backed answers to clinical questions in seconds at the point of care, from licensed journal content rather than a general web index, at no cost to the clinician.

At a Glance

Category
Industry & Government
Pricing
Free, Contact for pricing
Target Market
Physicians, Health System CIOs, Clinical Informatics Leaders, Residents and Fellows, Pharmacists
Deployment
Cloud-only
Founded
2021
Headquarters
Cambridge, Massachusetts, United States
Customers
~40% of US physicians use it daily across 10,000+ medical institutions, with roughly 65,000 new registrations per month in H1 2026

Key Features

  • Cited natural-language clinical answers

    Returns synthesised answers with inline citations to primary literature, so a clinician can verify the source before acting.

  • Licensed journal corpus

    Draws on NEJM, JAMA and AMA, Wiley, Cochrane and American College of Cardiology content under partnership rather than scraped abstracts.

  • DeepConsult deep research mode

    Reads many papers in parallel using over 100x the compute of a standard query to assemble a doctoral-level research report.

  • Licence-verified free access

    Clinicians upload medical licence documentation to unlock unlimited use with no subscription, removing procurement from adoption entirely.

  • Epic EHR embedding

    Enterprise deployments put natural-language evidence search inside the patient chart, so clinicians never leave the EHR.

  • Multi-platform access

    Available on web, iOS and Android, with Japanese-language support added in early 2026 for non-English clinical use.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Bedside evidence lookup

    A clinician mid-encounter asks a treatment question and gets a cited answer in seconds instead of deferring the decision.

  • Checking current guidance before prescribing

    Confirm whether recent trial evidence or a guideline update has changed the standard of care for a given presentation.

  • Literature synthesis for rounds or M&M

    DeepConsult assembles a multi-paper report on a clinical question, replacing hours of manual database searching and screening.

  • Health-system-wide evidence layer in the EHR

    Sutter Health, Mount Sinai and Cedars-Sinai embedded it in Epic so evidence search happens without leaving the patient chart.

  • Trainee education and case preparation

    Residents and fellows use cited answers to prepare cases and understand the evidence behind a recommendation, not just the recommendation.

Ideal For

Best For

  • Point-of-care evidence lookup during a patient encounter, where a full literature search is not practical
  • Keeping up with fast-moving guidance in a subspecialty without reading every journal issue
  • Health systems wanting an evidence layer embedded in the Epic chart, as deployed at Sutter Health, Mount Sinai and Cedars-Sinai
  • Deep literature synthesis via DeepConsult, which reads many papers in parallel to assemble a research report
  • Residents, fellows and trainees who need cited answers rather than an uncited chatbot response

Not Ideal For

  • Patients and the general public — the product is explicitly positioned as a tool for verified experts and is not designed for self-diagnosis from entered symptoms
  • Clinical workflows that require differential diagnosis generation or drug dosing calculators; independent reviewers note these are absent and that teams usually pair it with a broader clinical decision support platform
  • Organisations that cannot accept pharmaceutical and medical-device advertising adjacent to clinical answers, since that advertising is the core revenue model
  • Buyers needing a documented public API or programmatic integration outside the enterprise Epic embed
  • High-stakes complex subspecialty reasoning used unsupervised — a December 2025 preprint reported 41% accuracy for DeepConsult and 34% for Quick Consult on subspecialty scenarios

Deployment

On-Premise

Market & Ratings

Estimated Customers

~40% of US physicians use it daily across 10,000+ medical institutions, with roughly 65,000 new registrations per month in H1 2026

Market Analysis

Vertical AIPoint-of-careAd-supported freemiumClinical decision support
User Rating4.3/ 5

Pros

  • Free at the point of care with only licence verification required, so adoption needs no budget, contract or IT project
  • Content is licensed from NEJM, JAMA and the AMA, Wiley, Cochrane and the American College of Cardiology rather than scraped, which is the substance behind the citation quality
  • Adoption at genuinely unusual scale — about 40% of US physicians daily, 10,000+ institutions, ~20 million monthly consultations as of January 2026
  • Rated 4.3 out of 5 and ranked second of seven clinical AI tools by Clinical AI Report across 16 physician reviews
  • Enterprise Epic embedding is real and shipping, with Sutter Health, Mount Sinai and Cedars-Sinai live between February and May 2026

Cons

  • No differential diagnosis generation and no drug dosing tools — independent reviewers say organisations needing those pair it with a broader clinical decision support platform rather than replacing one
  • Benchmark performance is uneven: 100% on USMLE-style questions but a December 2025 preprint reported only 41% for DeepConsult and 34% for Quick Consult on complex subspecialty scenarios, so the headline scores overstate hard-case reliability
  • The revenue model puts pharmaceutical and medical-device advertising directly alongside clinical answers, which is a structural conflict of interest buyers have to govern for explicitly
  • EHR integration is early — the first enterprise Epic deployments landed in February 2026, so for most users it is still a separate tab rather than an in-workflow tool
  • No public SOC 2, HIPAA or ISO 27001 attestation was discoverable, which is a gap for a tool being deployed enterprise-wide inside health systems
  • Structural competitive exposure: Epic and Oracle Health are building comparable capability natively, and UpToDate and ClinicalKey are adding AI to corpora they already own, while content licensing costs rise as publishers reprice AI access

Pricing

Verified clinician

$0

  • Unlimited Quick Consult and DeepConsult
  • Web, iOS and Android
  • Requires medical licence verification
  • Ad-supported

Health system / enterprise

Contact for pricing

  • Enterprise-wide deployment
  • Epic EHR embedding
  • Deployed at Sutter Health, Mount Sinai and Cedars-Sinai

Free at the point of use for licence-verified clinicians — there is no consumer tier and no self-serve paid plan, so an individual physician adopts it without any procurement step. The business runs on pharmaceutical and medical-device advertising priced at $70 to $1,000+ CPM, far above social-media rates, plus enterprise health-system contracts; Sacra estimates roughly $150M annualised 2025 revenue at about 90% gross margin and around $124 revenue per user. Buyers should price the advertising model as a governance question, not just a commercial one, since the ads sit next to clinical answers.

Security & Compliance

soc2
gdpr
hipaa
iso27001
sso
data residency

Sources

This page was written from 4 sources, 4 on domains other than openevidence.com.

  1. 1.sacra.comopenevidence
  2. 2.clinicalaireport.comopen evidence
  3. 3.timewell.jpopen evidence ai medical
  4. 4.hn.algolia.comhn.algolia.com
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