Jon Brassey

Also @tripdatabase and @rapidreviews_i

[Trip Database @tripdatabase]

Real-world evidence needs are messy.

They cross medicine, rehabilitation, psychology, public health, social care and service design.

AskTrip’s most-viewed Q&As show why evidence tools need to work beyond simple treatment questions:
https://t.co/Kc8I68tJVa

[Trip Database @tripdatabase]

Were closing in on a remarkable 20,000 clinical questions answered. We should hit 20,000 by the weekend or early next week at the latest! https://t.co/VsGcywngQD

[Trip Database @tripdatabase]

If used carefully, clinical Q logs could help researchers, guideline developers and medical AI teams.

But they are not simple truth, they are signals.

They reflect who uses the system, what the interface encourages, and what people feel able to ask.

https://t.co/UWkjcMwLwe

[Trip Database @tripdatabase]

Search logs tell us something.

“Atrial fibrillation elderly” gives us a fragment.

But full clinical questions reveal more: the uncertainty, the context, and what the clinician is really trying to find out.

https://t.co/UWkjcMxjlM

[Trip Database @tripdatabase]

The production side of evidence is relatively well organised: trials, reviews, guidelines, summaries.

The demand side is much less visible.

Natural-language clinical questions may help us understand where clinicians are uncertain in real practice.

https://t.co/UWkjcMxjlM

[Trip Database @tripdatabase]

A repeated clinical question is not automatically a research gap.

It may be a dissemination gap, an applicability gap, a guideline ambiguity, or a problem translating evidence into action.

That distinction matters.

https://t.co/UWkjcMwLwe

[Trip Database @tripdatabase]

Search alone isn’t simple. Keyword precision, semantic understanding, source authority and recency all matter. Our latest blog explains how we’re testing a hybrid approach on Trip.

https://t.co/0aHy6fYgaJ

[Trip Database @tripdatabase]

If you've missed it, how AskTrip works: https://t.co/YH0fKL9Otk

[Trip Database @tripdatabase]

Search in clinical evidence is tricky because the same concept can be described many ways: heart attack, myocardial infarction, MI.

Hybrid search may help bridge that gap.

https://t.co/0aHy6fXIlb

[Trip Database @tripdatabase]

Hybrid search performed well for complex clinical queries. But for broad single-term searches like “asthma”, plain lexical search did better. That was the interesting bit.

https://t.co/0aHy6fYgaJ

[Trip Database @tripdatabase]

AskTrip’s latest upgrade includes Explore further, improved evidence scoring, fuller default answers, and PDF downloads.

Phase Three testing is now underway.

https://t.co/pnF06M8oJR

[Trip Database @tripdatabase]

Vector search can help find evidence that uses different terminology.

But it can also drift into “related but not quite right” results. That matters in clinical search.
https://t.co/0aHy6fYgaJ

[Trip Database @tripdatabase]

A single answer isn’t always enough. AskTrip’s new Explore further feature lets users ask follow-ups and dig deeper into the evidence. https://t.co/pnF06M8oJR

[Trip Database @tripdatabase]

Smarter search isn’t just about adding AI. It’s about knowing when semantic search helps - and when old-fashioned keyword precision still wins.
https://t.co/0aHy6fXIlb

[Trip Database @tripdatabase]

AskTrip Phase Three testing has started. The big change: Explore further - follow up, drill down, challenge or clarify an answer https://t.co/pnF06M8oJR

[Trip Database @tripdatabase]

AskTrip Phase Three: testing our biggest upgrade yet https://t.co/pnF06M8oJR

[Trip Database @tripdatabase]

Via AskTrip: Can eating avocados increase triglyceride levels in the blood?

https://t.co/aMZGoP4Ykv

[Trip Database @tripdatabase]

Evidence-rich, uncertainty-heavy: what 250 cardiology questions tell us https://t.co/Ek9J2QNjvx

[Trip Database @tripdatabase]

It's been a great week for AskTrip

703 Qs last week and 271 Qs on a single day! https://t.co/sb9tfZoE36

[Trip Database @tripdatabase]

Research gaps and dissemination gaps: what 10,000 clinical questions reveal https://t.co/Z9PIWdtuQb