EvidenceHunt

What is EvidenceHunt?

EvidenceHunt is an AI-powered medical research and evidence intelligence platform designed for healthcare and life sciences professionals. It helps users search, analyze, and summarize biomedical literature, clinical guidelines, research papers, and internal documents from one centralized workspace. EvidenceHunt supports systematic reviews, evidence extraction, literature monitoring, medical research, and clinical information workflows, with answers grounded in source materials for easier verification. It can also help organizations continuously monitor new research and turn complex scientific evidence into structured, actionable insights.

Trusted by over 90,000 healthcare and life science professionals worldwide, EvidenceHunt connects over 75 million biomedical publications from PubMed, OpenAlex, and Semantic Scholar alongside national European clinical guidelines, publisher content (Springer Nature, BSL), and internal hospital documents. Engineered with a European data governance framework, the platform features zero-data-retention AI endpoints, automated PII redaction, and strict Intended Use compliance guardrails that assist clinical workflows while ensuring medical professionals remain the final decision-makers.

• Platform / Developer: EvidenceHunt (evidencehunt.com; European Healthcare & Life Sciences AI Infrastructure)
• Core Architecture: Hybrid clinical search index pairing PubMed, OpenAlex, and Semantic Scholar with deterministic PICO (Population, Intervention, Comparison, Outcome) search filters, living systematic literature review (SLR) modules, and document processors
• Governance & Privacy: EU-hosted infrastructure compliant with GDPR and HIPAA standards, featuring automated PII redaction, SSO authentication, and zero-data-retention policies where user queries never train underlying AI models

Use Cases:

• Conducting fast, evidence-grounded clinical literature queries backed by primary PubMed citations and European clinical practice guidelines
• Accelerating Systematic Literature Reviews (SLRs) through AI-assisted screening, human-in-the-loop validation, and living evidence monitors
• Extracting structured data tables (clinical endpoints, patient cohorts, adverse events, study characteristics) from trial publications into Excel or Word
• Connecting internal hospital repositories (Microsoft SharePoint, Google Workspace, Zenya) to cross-reference institutional protocols with published guidelines

Technology:

• Clinical intelligence retrieval engine indexing 75M+ scientific publications with multi-document cross-referencing capabilities
• PII Safety Guard dynamically detecting and redacting patient identifiers from queries and uploaded medical documents
• EvidenceHunt REST API enabling digital health applications, clinical scribes, and EHR systems to pull verified literature citations programmatically

Target Users:

• Physicians, hospital clinicians, and nurses verifying treatment standards, drug interactions, and clinical guidelines at the point of care
• Clinical researchers and medical writers executing systematic literature reviews and meta-analyses with auditable audit trails
• Life science, regulatory, and market access teams tracking therapeutic landscape updates and preparing HTA dossiers
• Content creators using writing tools to draft evidence-based medical summaries, clinical literature overviews, and healthcare research guides

Corporate Entity: Operates as EvidenceHunt (Global & EU Healthcare EdTech/HealthTech)

Key features of EvidenceHunt

EvidenceHunt's key features are

• Evidence-Grounded Literature Chat: Query global biomedical literature and clinical guidelines conversationally, receiving answers with verifiable citations and direct source links.
• Structured PICO & Boolean Search: Formulate rigorous clinical search strategies using Population, Intervention, Comparison, and Outcome frameworks or traditional Boolean operators.
• Living Systematic Literature Reviews (SLRs): Accelerates screening, extraction, and validation with automated alerts when newly published papers match review criteria.
• Structured Data Extraction: Extracts complex tables, clinical endpoints, study characteristics, and outcomes from scientific publications into exportable spreadsheets.
• Document Processor & Protocol Integration: Upload internal hospital protocols, SmPCs, and PDFs, or connect enterprise repositories (SharePoint, Zenya) to search internal knowledge alongside public literature.
• Evidence Signals & Literature Alerts: Monitor emerging research across 150,000+ medical journals and trial registries with proactive summary alerts.
• Clinical Safeguards & PII Redaction: Automated compliance filters redact patient information and ensure the system operates strictly as literature support without dispensing unverified medical diagnoses.
• EvidenceHunt API: Comprehensive developer API allowing clinical scribes, research portals, and digital health tools to embed verified evidence retrieval into downstream workflows.

EvidenceHunt Pricing

EvidenceHunt operates on a tiered SaaS model offering free trial access, individual Pro subscriptions, customized institutional enterprise plans, and credit-based API access.

Basic Plan (Free):

• €0 / Free access
• Includes basic literature queries, traditional PubMed search, 3 Pro-quality questions, chat history retention, and 1 automated literature tracking signal

Pro Plan:

• Monthly Billing: ~€20.00 / month (includes a 7-day free trial)
• Annual Billing: €16.50 / month (~€198.00 / year – save 18% on annual billing)
• Includes unlimited Pro chats with top-tier benchmarked AI models, open-access full-text reading from PubMed/OpenAlex, custom answer formatting, evidence filters, up to 5 literature tracking signals, and priority support

Team or Organisation (Enterprise Plan):

• Custom enterprise pricing (Book a Demo)
• Includes shared project folders, internal document search add-on, Systematic Literature Review (SLR) workflows, structured data extraction, up to 10 literature signals, Enterprise SSO, PII redaction safeguards, dedicated SLAs, and institutional integrations (SharePoint, Zenya)

API Access:

• Credit-based pay-as-you-go pricing starting at €0.125 per credit with flexible scaling and complete developer documentation

Disclaimer: Prices are listed in EUR (€) and exclude local taxes. Subscriptions renew automatically unless canceled before the billing period. Visit evidencehunt.com/pricing for active plans and enterprise quotes.

Who is using EvidenceHunt?

EvidenceHunt is designed for healthcare professionals, clinical researchers, and life science teams, including

• Hospital Physicians & Clinicians: Checking evidence-based treatment guidelines and drug interaction studies between patient consultations
• Clinical Researchers & Systematic Reviewers: Conducting literature screening and structured data extraction for published medical studies
• Pharmaceutical & Life Science Teams: Monitoring scientific literature across disease areas and preparing HTA dossiers for market access
• Medical Writers & Academics: Accelerating literature reviews and drafting publication drafts backed by verifiable citations
• Content Creators: Using writing tools to draft evidence-based medical summaries, clinical literature overviews, and healthcare research guides
• Healthcare IT Developers: Integrating verified biomedical retrieval into clinical decision support systems via the EvidenceHunt API

Best EvidenceHunt Alternatives

Some of the strongest EvidenceHunt alternatives include

• Consensus 
• Elicit 
• UpToDate 
• Scite.ai 
• PubMed Central / NCBI Tools
• Rayyan 

Pros and Cons of EvidenceHunt

Pros

• Strict evidence grounding ensures every claim is backed by peer-reviewed literature or recognized clinical guidelines
• Combines public biomedical databases (PubMed, OpenAlex) with private internal hospital protocol integrations
• Built-in PII redaction and Intended Use guardrails comply with strict European GDPR and healthcare privacy standards
• Supports end-to-end systematic literature reviews with living alerts and structured data extraction to Excel/Word
• Affordable individual Pro plan (€16.50/month billed annually) with a 7-day free trial

Cons

• Full Systematic Literature Review and enterprise document extraction tools require team or organization add-ons
• Focuses specifically on biomedical and clinical domains; not intended for general humanities or non-scientific research
• Does not replace formal clinical diagnostic tools; requires human medical oversight for patient care
• Free basic plan provides limited Pro queries before requiring an upgrade

Why Choose EvidenceHunt?

EvidenceHunt is the premier choice for healthcare professionals and life science teams who need a compliant clinical intelligence platform that pairs global biomedical literature with internal institutional protocols, structured data extraction, and living systematic review workflows.

• Retrieve verifiable clinical answers grounded directly in 75M+ biomedical papers and guidelines
• Formulate structured PICO searches and screen papers for systematic literature reviews
• Extract clinical trial endpoints, study characteristics, and outcomes into structured tables
• Safeguard patient data with automated PII redaction and zero-data-retention AI endpoints
• Integrate internal hospital protocols from SharePoint or Zenya into a unified search workspace

EvidenceHunt vs. Competitors

The main difference between EvidenceHunt, Consensus, Elicit, and UpToDate is that EvidenceHunt is engineered specifically for healthcare institutions and life sciences, combining PubMed and national clinical guidelines with private internal hospital protocols (SharePoint/Zenya), automated PII redaction, and living SLR workflows starting at €16.50/mo, whereas Consensus provides broad academic paper search, Elicit focuses primarily on scientific paper extraction across sciences, and UpToDate provides expert-authored clinical topic summaries on an institutional subscription. EvidenceHunt stands out for its clinical safeguards, internal protocol integration, and living review infrastructure.

How do we rate EvidenceHunt?

EvidenceHunt Review

EvidenceHunt addresses one of the most critical challenges facing AI adoption in healthcare: eliminating hallucinations while maintaining strict data governance. Generic conversational LLMs frequently introduce subtle inaccuracies or invent medical citations, making them unusable in clinical environments. EvidenceHunt overcomes this by anchoring every generated summary directly to peer-reviewed literature from PubMed, European guidelines, and authorized publisher content. What sets EvidenceHunt apart from generic academic search engines is its healthcare-specific design: it incorporates automatic PII redaction, intended-use guardrails, and enterprise integrations with hospital protocol repositories like SharePoint and Zenya. For medical researchers, clinical teams, and life science professionals needing rigorous, verifiable evidence retrieval, EvidenceHunt provides an essential clinical intelligence platform.

Conclusion

EvidenceHunt is an advanced clinical intelligence platform and literature search engine that empowers medical professionals and life science organizations to make confident, evidence-grounded decisions. By combining verifiable citations from over 75 million biomedical publications with PICO-guided search, living systematic review tools, structured data extractions, and European privacy governance, it sets a high standard for responsible healthcare AI. While students conducting general academic research may start with tools like Consensus, EvidenceHunt’s clinical safeguards, internal protocol connections, and systematic review workflows make it an indispensable platform for healthcare and pharmaceutical research.