TRIP Database

23/12/2025

Why hybrid search may be the future of evidence-based healthcare search

Clinical search has long depended on keywords. While effective, this approach assumes users know the exact terms used by authors - and that’s a big assumption.

Vector search offers a different model: retrieving evidence based on semantic similarity rather than literal wording. In our latest experiments at Trip, we’ve combined both approaches into a hybrid system that runs keyword and vector search side by side.

The results show clear benefits. Hybrid search can surface clinically relevant evidence that traditional search would miss, without relying on heavy manual synonymisation. At the same time, it makes transparent how results were found - something clinicians value deeply.

We’re continuing to develop this technology with a clear principle in mind: users remain in control. Vector and hybrid search will be optional, not imposed.

As we refine the balance between precision and discovery, this work marks a significant step forward in how Trip and AskTrip may support evidence-based decision-making.

Full details here:
https://blog.tripdatabase.com/2025/12/23/more-work-on-vector-search/

22/12/2025

What’s Capturing Attention on AskTrip? Explore the Most Viewed Q&As

We’re excited to introduce a new way to explore content on AskTrip — you can now browse Q&As by Most viewed! This feature lets you quickly see which evidence-based questions are getting the most engagement from professionals and information specialists alike. Dive in and see what’s trending:
https://blog.tripdatabase.com/2025/12/22/whats-capturing-attention-on-asktrip/

29/07/2025

Actualmente estamos probando la versión en español de AskTrip, nuestro sistema automatizado de preguntas y respuestas clínicas basadas en evidencia.

Ya contamos con algunos profesionales sanitarios hispanohablantes que nos están ayudando en esta fase, pero nos encantaría contar con más participantes.

Si es profesional de la salud y le interesa probar el sistema (y ofrecernos algunos comentarios), no dude en escribirme: jon.brassey@tripdatabase.com

We're currently testing the Spanish-language version of AskTrip — our automated, evidence-based clinical question answering system.

A few Spanish-speaking health professionals are already helping us test it, but we'd love to involve more.

If you're a Spanish-speaking clinician and interested in trying it out (and sharing a bit of feedback), just drop me a line: jon.brassey@tripdatabase.com

26/07/2025

AskTrip is doing amazingly well - nearly 1,300 Q&As already! You can browse them all here: https://www.tripdatabase.com/ask/archive

And currently being tested, a Spanish version of AskTrip: https://blog.tripdatabase.com/2025/07/22/asktrip-en-espanol-un-adelanto-exclusivo-asktrip-in-spanish-a-sneak-preview/

Evidence-based answers for health professionals | Searching sources such as systematic reviews, clinical guidelines and RCTs

26/06/2025

AskTrip is live – instant, evidence-based clinical answers powered by AI

We’re thrilled to officially launch AskTrip, our automated clinical Q&A system, now available to all users of Trip Database.

What is AskTrip?

AskTrip brings together the speed of AI with over 25 years of Trip’s experience in evidence-based medicine. It answers your clinical questions in under 30 seconds – and every answer links to the original evidence, so you can trust what you see and dig deeper when needed.

AskTrip offers:

• Transparent, referenced answers
• Filtering by clinical area, question type, and evidence quality
• Free access (3 questions/month) – unlimited for Pro users
• Optimised for mobile use
• Embeddable in third-party websites and intranets

Whether you want to ask a new question, browse past queries, or search our growing collection, AskTrip is designed to help health professionals make faster, better-informed decisions.

We’re grateful to our amazing beta testers, developers, and designer – especially Phil, whose work has taken this project to the next level. 🙌

Try it out, push it to its limits, and tell us what you think. Your feedback will help us shape the future of AskTrip. Together, we can turn good evidence into great care – instantly.

For further information see: https://blog.tripdatabase.com/2025/06/25/asktrip-is-live-automated-clinical-qa-instantly/

31/03/2025

Trip’s Automated Clinical Q&A is Ready for Beta Testing – and We’re Inviting You to Join

We’re excited to share that our automated clinical question-answering system is now in beta testing. This is the next big step in our mission to make high-quality, evidence-based answers more accessible to clinicians—faster and more reliably than ever before.

What makes this different?
✅ It combines Trip’s unrivalled collection of high-quality clinical evidence
🤖 With the power of AI to generate fast, accurate, and trustworthy answers
🧠 Built specifically to support decision-making in real-world clinical practice

We’re now looking for clinicians, researchers, and health professionals to help test the system. Your feedback will help us fine-tune and improve the tool before wider release.

If you're passionate about evidence-based medicine and curious about how AI can support clinical decisions, we’d love to have you involved.

🔗 Learn more and sign up to be a beta tester:

We’re excited (and a little nervous!) to share something we’ve been working hard on. After resolving many of the early teething issues, we’re now ready for real-world testing — an…

21/03/2025

What if evidence reviews could take minutes, not months?

At Trip Database, we're exploring how large language models (LLMs) could transform evidence synthesis - making it faster, cheaper, and still robust.

In our latest proof-of-concept, we show how automated rapid reviews might soon produce human quality reviews in minutes not months.

This isn't just about speeding things up. It’s about getting the right evidence to the right people - when it matters most.

Read how AI could reshape public health reviews:

Some years ago, I worked at Public Health Wales (PHW), and I’ve remained connected to the organisation and interested in the field of public health. Recognising that the evidence needs in public he…

17/01/2025

🎉 Introducing Volume 5 of the Evidence for Primary Care Digest! 📖✨

We’re excited to share the latest edition of our evidence digest, designed to equip primary care professionals with actionable, high-quality insights.

In this volume, we explore critical questions shaping healthcare today:
🩺 What is the impact of smokeless oral ni****ne products on cardiovascular disease—and what does this mean for policy and treatment?
📱 Are smartphone-based pulmonary rehab programs effective for COPD management?
🍽️ Can digital platforms deliver better personalized diabetes management, education, and support?
🏋️‍♀️ Do SGLT2 inhibitors outperform GLP-1 agonists and exercise in reducing epicardial fat in patients with type 2 diabetes or obesity?
🧠 How should mental health be managed during pregnancy?
💊 What early benefits does Atogepant show for migraine prevention in phase 3 trials?
🧓 Does metformin use lower the risk of dementia in type 2 diabetes patients?

🔗 Access the full digest here: https://www.tripdatabase.com/view/evidence/volumes/primary-care-vol-five/

Join the conversation, share your thoughts, and let's advance primary care together! 💬

Evidence-based answers for health professionals | Searching sources such as systematic reviews, clinical guidelines and RCTs

15/12/2024

Trip vs. PubMed for Asthma Diagnosis: Which Delivers Faster, Better Answers?

When it comes to answering clinical questions on asthma diagnosis, Trip stood out as the best for quick, effective, and evidence-based results — beating PubMed's algorithms for immediate clinical relevance and quality.

Want to know why Trip is the go-to tool for busy health professionals?

👉 Discover the full comparison here https://blog.tripdatabase.com/2024/12/15/trip-versus-pubmed-2-asthma-diagnosis/

12/12/2024

Enhancing Evidence Discovery Through Mind Maps

Our users often begin their Trip searches with broad terms to explore the general landscape of evidence within their area of interest. They then refine their search by incorporating additional terms to narrow their focus.

To support this exploratory process, we are currently experimenting with Mind Maps as a way to help users visualize and navigate evidence more intuitively. These visual tools aim to offer a clearer and more structured overview of related evidence, potentially improving search efficiency and insight.

We are optimistic about their usefulness and anticipate that Mind Maps could be introduced as early as 2025.
https://blog.tripdatabase.com/2024/12/08/mindmaps/

26/11/2024

People often ask how Trip differs from PubMed. We have started a series of comparisons, showing side-by-side searches.

We asked ChatGPT to compare the results and from the perspective of a busy health professional with a clinical question that affects patient care (and taking into account the quality of the evidence).

See https://blog.tripdatabase.com/2024/11/26/trip-versus-pubmed-1/

06/07/2024

Survey results: How best to use AI in Trip?

From our perspective a really useful exercise which will inform our work moving forward! See the main findings here: https://blog.tripdatabase.com/2024/07/06/survey-results-how-best-to-use-ai-in-trip/