Clair – The AI Clinical Reference Tool

by Clair  · Based in United States →The Premier Clinical AI Reference
Family Medicine Hospital Medicine Internal Medicine

Subscription required after trial
Regulatory Status Disclosed

Overview

Clair is an AI clinical reference tool designed to provide healthcare teams with accurate, real-time answers to clinical questions. It streamlines decisions on disease states, treatments, and drug interactions by delivering evidence-based insights instantly at the point of care. Clair ingests vetted medical data, including over 200 million clinical studies, 2 million drug interactions, 147,000 FDA package inserts, and 100+ clinical guidelines, using advanced AI to analyze and contextualize information. It interprets queries, validates sources, and delivers precise, clinically significant answers with authoritative citations. Unlike generic AI tools, Clair is purpose-built for healthcare with verified, peer-reviewed sources and can be customized with an organization’s own information and branding.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Instant, ultra-accurate answers to complex clinical questions
  • Semantic search algorithm with zero hallucinations
  • Clinically significant references with links to original sources (FDA Drug Package Inserts, NIH Clinical Trials Database, NLM drug Interactions Database, Clinical Guidelines)
  • Intelligent sourcing based on use-case and question nature
  • Expert-curated data sources and continuous monitoring for accuracy
  • Integration with EHR systems
  • Customizable with organization's own documents and branding
  • Mobile apps available on Android and iOS
  • Drug interaction analysis for up to 25 drugs
  • Clinical summaries for diseases or drugs

Use Cases

  • Real-time answers to clinical questions at the point of care
  • Streamlining decisions on disease states and treatments
  • Comprehensive drug interaction analysis and management
  • Antimicrobial stewardship with treatment, dose, and duration recommendations
  • Understanding ICD-10 codes with human-friendly definitions and counseling points
  • Evidence-based recommendations for patient care (Med Review)

What Physicians Need to Know

Evidence Base
Clair's AI model is trained on a vast database including over 200 million clinical studies, 147,000+ FDA inserts, 2 million+ drug interactions, and 100+ clinical guidelines. It uses 'intelligent sourcing' to select the most relevant information based on the query, such as referencing FDA drug labels for side effects or NIH clinical trials for drug efficacy comparisons. Every response includes authoritative citations from peer-reviewed sources.
Clinical Validation Studies
While the website emphasizes accuracy and expert curation of data sources, specific details about independent clinical validation studies or published research on Clair's impact on diagnostic accuracy or treatment outcomes are not explicitly provided. However, a team of Clair clinical experts reviews all data sources and continuously monitors search results for accuracy.
Alert Fatigue Management
The provided information does not explicitly detail Clair's specific strategies for alert fatigue management. However, the tool aims to provide concise and accurate answers to reduce time spent searching through vague documentation, which can indirectly contribute to reducing information overload.
Drug Interaction Checking
Clair offers a comprehensive drug interaction checking tool. Users can enter up to 25 drugs, and the system will analyze interactions, providing descriptions, recommendations, and management strategies for each. Drug interactions are sourced from the NLM drug interactions database, with proprietary AI models adding recommendations and severity.
Guideline Update Frequency
Clair continuously updates its knowledge base in real-time to ensure the latest guidelines, trial results, and safety information are immediately available. A team of clinical experts also reviews and vets all data sources.
Clinical Workflow Integration
Clair is designed for seamless integration into EHR systems and can be customized with an organization's internal documents and branding. It offers an API for integration into various healthcare platforms and workflows, including medication review within EHR or pharmacy management systems, and antimicrobial stewardship practices.
Decision Audit Trail
Clair emphasizes transparency and provides references with every response, allowing users to see the context and original sources. For enterprise clients, there's the capability to customize sources for references. While not explicitly called a 'decision audit trail,' the emphasis on traceable, evidence-based answers with links to original references supports a level of auditability.
Physician Tip

Leverage Clair's 'Open Search' for quick, ultra-accurate answers to complex clinical questions, and utilize the 'Drug Interactions' tool for comprehensive analysis of multiple medications. Remember that every answer is backed by legitimate references, allowing for quick verification. For organizations, explore customizing Clair with your own internal documents and integrating it directly into your EHR for streamlined workflows. Always remember that Clair is an informational tool for medical professionals and not a substitute for professional medical advice, diagnosis, or treatment. Do not include PHI or PII in your searches unless using an organizational account with a BAA agreement.

Clair offers a flexible API-based architecture for seamless integration with EHR systems, CaryHealth platforms, and other organizational infrastructure. Specific API endpoints are available for open search, clinical summaries, drug interactions, medication review (which can integrate into EHR or pharmacy management systems), ICD-10 code lookups, and antimicrobial stewardship. Custom models can also be fine-tuned for specific organizational needs, and white-labeling options are available.

Details

Category Clinical Decision Support & Reference, Pharmacology & Dosing AI
Pricing Subscription required after trial Student; Pro; Clinical Plan
DeploymentCloud-based, API-based architecture
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Not applicable AI-estimated

While there are other AI tools named 'Claire' or 'Clair' that have received FDA clearance for specific medical imaging or AI-enabled devices (e.g., for breast cancer margin assessment), the 'Clair - The AI Clinical Reference Tool' described in the prompt is an informational tool for medical professionals and does not appear to have FDA clearance as a medical device. It is crucial to distinguish between different products with similar names.

Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

What the Web Says

Clair - The AI Clinical Reference Tool, is generally perceived as a valuable tool for healthcare professionals, particularly for its ability to quickly synthesize information and provide evidence-based answers. Reviewers highlight its potential to save time and improve diagnostic accuracy, though some express concerns about the 'black box' nature of AI and the need for human oversight.

Overall: Positive

Strengths

  • Rapidly synthesizes information from multiple sources
  • Provides evidence-based answers to clinical questions
  • Potential to save time for busy clinicians
  • Aids in diagnostic accuracy and treatment planning
  • User-friendly interface reported by some
  • Supports continuous learning and knowledge updates

Limitations

  • Concerns about the 'black box' nature of AI and lack of transparency
  • Potential for over-reliance on AI without critical human review
  • Accuracy and currency of information need constant validation
  • Integration challenges with existing EHR systems
  • Subscription cost may be a barrier for some individuals/practices
  • Limited specific physician reviews available on public forums

Based on reviews from: Clair.ai website (implied features), Healthcare IT News (general AI in healthcare discussions), TechCrunch (general AI in healthcare discussions), Reddit (general AI in medicine discussions), G2 (general AI in healthcare software reviews), Capterra (general AI in healthcare software reviews)

Last updated: 2026-09-10

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Press & Coverage

Business Wire
CaryHealth Launches Generative-AI CoPilot, Clair
CaryHealth, a leader in healthcare AI solutions, officially launched Clair, a clinical AI reference tool designed for healthcare providers, payers, and life science professionals. Clair aims to revolutionize how clinical teams access the latest information by providing instant, evidence-based answers with references.
2024-08
DEPT
AI-driven app for CaryHealth - DEPT
DEPTu00ae partnered with CaryHealth to develop the Clair AI reference app, which helps clinicians search for information 90% faster. The app provides access to the latest pharmaceutical and medical information via verified medical documents, aiming to save healthcare professionals countless hours of research.
2024-07
Google Play Store
Clair - AI Clinical Reference - Apps on Google Play
Clair is described as a premier reference tool for clinicians, utilizing a proprietary AI model trained on FDA & NIH data and clinical guidelines to provide accurate and efficient answers to clinical questions. It aims to reduce search time by up to 90%.
2025-06
Apple App Store
Clair - AI Clinical Reference - App Store - Apple
The Clair app for iOS offers clinicians a faster and more accurate AI search experience, providing highly accurate and concise answers with links to original, clinically significant references. It is powered by an AI model trained on up-to-date FDA & NIH data and clinical guidelines.
2025-06
PMC (PubMed Central)
CLAIR 2025: Artificial Intelligence as a Catalyst for the Future of Laboratory Medicine - PMC
The CLAIR 2025 symposium, held in Belgrade on March 28, 2025, focused on the transformative potential of AI in laboratory medicine, emphasizing the need for high-quality data and strategic integration of AI into healthcare systems.
2025-12
MLQ News
FDA Approves Claire AI System as First for Real-Time Breast Cancer Margin Checks in Surgery | MLQ News
The U.S. FDA approved Perimeter Medical Imaging AI's Claire system, the first AI-enabled imaging device for real-time margin assessment during breast-conserving surgeries for stage 0 to III breast cancer patients. Claire combines optical coherence tomography and AI to help surgeons detect cancer cells at tumor margins.
2026-04
PR Newswire
Perimeter Medical Imaging AI's 'Claire' Becomes First FDA-approved AI-Enabled Imaging Device for Breast Cancer Surgery - PR Newswire
Perimeter Medical Imaging AI announced that its Claireu2122 system received U.S. FDA premarket approval, making it the first AI-enabled imaging device for intraoperative breast cancer margin assessment. The technology aims to reduce repeat surgeries by enhancing surgeons' ability to detect cancer.
2026-03
ATI Testing
ATI Nursing Education Launches Claire AIu2122, the first-of-its-kind technology to help save nurse educators time - ATI Testing
ATI Nursing Education launched Claire AIu2122, an AI-enabled technology designed to help nurse educators save time by generating question ideas for custom assessments. This innovation aims to improve efficiencies in nursing education and reduce faculty workload.
2024-03

Videos

Product demos, reviews, and walkthroughs for Clair – The AI Clinical Reference Tool.

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Frequently Asked Questions

Clair is purpose-built for healthcare and trained on a vast database of over 200 million clinical studies, 2 million drug interactions, 147,000 FDA package inserts, and 100+ clinical guidelines. It uses intelligent sourcing to select the most relevant information for each query, and every response includes authoritative citations for verification.
Clair is an informational tool intended for medical professionals and should not be considered a substitute for professional medical advice, diagnosis, or treatment. While it provides evidence-based insights, clinicians must critically evaluate AI outputs and recognize that these tools support, but do not replace, clinical judgment.
Clair is designed with HIPAA compliance in mind. For enterprise deployments, it offers a Business Associate Agreement (BAA) and handles custom data on a separate, HIPAA-compliant server, ensuring high standards of data security and privacy. Clair also adheres to SOC 2 compliance.
Several AI clinical reference tools exist, including EvidenceMD, UpToDate Expert AI, Dyna AI, and ClinicalKey AI. Clair differentiates itself by being purpose-built for healthcare with verified, peer-reviewed sources, offering ultra-fast and concise answers with transparent citations, and integrating seamlessly into EHR systems.
Clair offers different pricing plans, including a Starter Plan for individuals, a Pro Plan for small teams (up to 10 members), and a Clinical Plan for larger clinical teams. These plans offer varying features, such as custom references and dedicated account management, with discounts available for annual billing. A free student plan is also available.
Yes, Clair can be integrated into existing EHR systems to enhance current workflows. It also allows for customization, enabling organizations to upload and search their own custom documents and criteria, and set specific AI guardrails to meet unique needs and regulations.
Clair is built with a semantic search algorithm designed to provide accurate and concise answers with 'zero hallucinations'. It achieves this by exclusively drawing from clinically validated and expertly curated medical sources, and its responses always come with links to original references for transparency and verification.

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Suggest an Edit → | Last Verified: 2026-09-09 | First Added: 2026-09-09
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