Trip Database Blog

Trip began in 1997 from our work in clinical question answering, designed to make answering questions manually more efficient. With AskTrip, we’ve come full circle: Trip is now helping to automatically answer clinical questions.

Last week we began indexing AskTrip Q&As into the main Trip database, allowing users to discover them directly through search:

We’re also developing a system to integrate the two more closely, intelligently suggesting clinical questions as users engage with Trip. Here’s a real example from our test site: when a user searches for “measles”, a broad query, the system responds by suggesting broad clinical questions:

• What are the common signs and symptoms of measles in pediatric patients?
• What are the current vaccination recommendations for preventing measles in adults?
• How should complications of measles, such as measles encephalitis, be managed in hospitalized patients?

The user then scrolls down and clicks on the document ‘Guidance for risk assessment and infection prevention and control measures for measles in healthcare settings‘. This gives the system more ‘signal’ and updates the questions to:

• What are the current risk assessment strategies for managing measles outbreaks in healthcare settings?
• What are the recommended infection prevention and control measures for measles in hospitals and clinics?
• How should healthcare facilities handle exposure to measles in patients and staff?

These new questions reflect the user’s interest. When the user next clicks on ‘Managing measles in asylum seeker accommodation settings‘, the system adapts again::

• What are the guidelines for risk assessment and infection prevention and control measures for measles in healthcare settings?
• How should measles outbreaks be managed in asylum seeker accommodation settings?
• What infection prevention strategies are most effective in controlling measles transmission in densely populated accommodation settings like those for asylum seekers?

This seamless integration makes finding evidence faster and more intuitive. By turning a search into a precise, question-driven process, we’re helping clinicians move quickly from a general need to targeted, evidence-based answers. It’s an effortless way to bridge the gap between searching for information and getting the exact answers you need.

One of the things we love about AskTrip is seeing the connections that emerge between different clinical questions.
Recently, four questions came in — seemingly from two different users — that all seemed to circle around a shared theme: the retina, Alzheimer’s disease, and early biomarkers.

That got us curious. Were these topics just coincidentally linked, or was there a meaningful thread here? We pulled the latest evidence from AskTrip to find out.

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1. How reliable are retinal OCT measurements?

Two of the questions focused on the reliability of optical coherence tomography (OCT) — both angiography and retinal thickness measurements.
The evidence shows that OCT performs well:

• Angiography: Intraclass correlation coefficients (ICCs) indicate good repeatability, especially for small scan sizes, though variability can increase with larger scans or different measurement setups.
• Retinal thickness: High repeatability and strong ICC values across devices, suggesting this is a robust measurement tool for research and clinical monitoring.

Why it matters: For any biomarker to be clinically useful, we need to trust the measurement. These results suggest OCT has the reliability needed for potential inclusion in early-detection pathways.

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2. Shared vascular mechanisms in the retina and brain

Another question asked about parallels between vascular leakage in the retina and brain, linked to pericyte dysfunction in Alzheimer’s disease.
The literature points to common processes: pericyte loss or dysfunction undermines vascular integrity, disrupting both the blood–brain and blood–retina barriers.
In Alzheimer’s, this could contribute to early pathology in both systems — supporting the idea that retinal imaging might give a non-invasive “window” into brain health.

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3. Plasma biomarkers — how do they compare?

The final question looked at plasma levels of Aβ42/Aβ40 for distinguishing mild cognitive impairment or preclinical Alzheimer’s from normal controls.
Reported area under the curve (AUC) values range from 0.68 to 0.80 — suggesting moderate discriminative ability. This is promising, though still far from a stand-alone diagnostic tool.

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Why we’re watching this space

When several AskTrip questions start circling the same idea, we take notice. Here, the connection is clear:

• Retinal OCT is reliable enough to measure subtle changes.
• Pathophysiological parallels between retina and brain make those measurements relevant to Alzheimer’s research.
• Blood biomarkers like Aβ42/Aβ40 add another dimension to early detection efforts.

This combination of imaging and blood-based biomarkers could, in the future, help detect Alzheimer’s before symptoms appear. The evidence isn’t there yet for widespread screening — but the building blocks are taking shape.

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Explore the full Q&As:

• Intraclass correlation of retinal OCT angiography
• Repeatability of retinal OCT thickness measurements
• Pericyte dysfunction and barrier breakdown in Alzheimer’s
• Plasma Aβ42/Aβ40 for early Alzheimer’s detection

We’ve now answered over 1,800 questions, and every week we’re learning more about how to make AskTrip stronger, faster, and more useful.
Here’s a look at what’s in the works and what’s coming next.

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Currently in Development (Expected August–September)

Improvement	Problem	Solution	Benefit
Limited answers – better options	When little evidence exists, answers can be incomplete.	Offer two alternative approaches when evidence is scarce.	More useful responses even with limited research.
Smarter related questions	“Related questions” aren’t always relevant.	Upgrade embedding models for better matches.	Find answers faster, with less searching.
Monthly Q&A highlights email	New/popular Q&As can be missed.	Monthly email tailored to interests.	Stay up to date automatically.
Save your Q&As	Useful Q&As can be hard to find again.	Bookmark questions for quick access.	Instantly revisit important answers.
Prompt upgrade for better recall	Some relevant documents aren’t retrieved.	Implement upgraded prompt for higher recall.	More complete, evidence-rich answers.

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Next on the List (Planned for late September)

Improvement	Problem	Solution	Benefit
Dedicated drug information	Drug answers can lack specialist detail.	Add targeted medicines content.	More precise and clinically useful drug info.
Consistent Answers	Similar questions give inconsistent answers.	Reuse past high-quality answers.	Greater accuracy and consistency.
Export answers	No easy way to share/store Q&As.	Download as PDFs and other formats.	Easy sharing, offline access, and record-keeping.
Citation suggestions	Users lack ready citation formats.	Auto-generate “How to cite this” statements.	Saves time and ensures accurate referencing.
Transparency mode	The answer process isn’t visible.	Show key steps in generating answers.	Builds trust through openness.

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Why we’re excited:
The prompt upgrade, dedicated medicines content, and answer consistency will have the biggest impact on quality – especially the new prompt, which is already showing excellent results in testing. Once these updates are live, AskTrip will be more accurate, robust, and user-friendly, paving the way for bigger ideas like educational modules, deeper topic reviews, and even the occasional quiz 🙂

Want AskTrip to work just like an app? You can!

Add it to your home screen for one-tap access, full-screen view, and instant updates — with no storage space needed.

Below are the steps for iPhone (iPad is the same). Android instructions are at the bottom.

Step One – open Safari (or your preferred browser) and navigate to AskTrip:

Step Two – if you don’t see the Share icon at the bottom of Safari, scroll or swipe up slightly and it will reappear. Tap the Share icon:

Step Three – in the menu that appears, scroll down and tap Add to Home Screen:

Step Four – The default name will appear as Trip Database. You can rename it to AskTrip before pressing Add. Note: We’ll be adding the AskTrip icon soon — for now, you’ll see the Trip icon.

Step Five – That’s it! AskTrip will now appear on your home screen. Tap it anytime to launch – just like any other app.

Android Instructions

The process is similar:

For Android (Chrome)

1. Open AskTrip in Chrome.
2. Tap the ⋮ menu (top right).
3. Select Add to Home Screen or Install App.
4. Tap Add (and confirm if prompted).
   ✅ Done! AskTrip now launches in full-screen mode.

The current PICO search has not much changed since it was launched in 2012

At launch

Currently:

So, there has been a design change but the underlying mechanism has not changed much ‘under the hood’ (read about it here). Well, we’re currently working on enhancing it… I’ve not loved the feature for two main reasons:

• I was answering clinical questions before PICO was widely known. The history is vague but it’s believed it was first described between 1995- 1997 but was not widely adopted till the early 2000s. By then I had answered thousands of questions and was comfortable with converting a question to search terms. However, I acknowledge I’m an edge case!
• It was sometimes disappointing with the results

I was pleased to have the opportunity to trial a new approach—combining our existing method with a newer one that embraces AI and large language models (LLMs). Interestingly, this wasn’t the original intention. I had assumed we would replace the old with the new, but testing has shown that this may be sub-optimal.

To illustrate, consider this PICO example:

P – deep vein thrombosis
I – D-dimer
C – ultrasonography
O –

Using both approaches, we identified several overlapping articles. However, each method also surfaced four relevant articles that were unique to it:

Current PICO system

• Serial 2-point ultrasonography plus D-dimer vs whole-leg color-coded Doppler ultrasonography for diagnosing suspected symptomatic deep vein thrombosis: a randomized controlled trial
• A randomized trial of diagnostic strategies after normal proximal vein ultrasonography for suspected deep venous thrombosis: D-dimer testing compared with repeated ultrasonography
• D-dimer testing as an adjunct to ultrasonography in patients with clinically suspected deep vein thrombosis: prospective cohort study
• Left Rule, D-Dimer Measurement and Complete Ultrasonography to Rule Out Deep Vein Thrombosis During Pregnancy

AI/LLM approach

• Safety of D-dimer as a stand-alone test for the exclusion of deep vein thrombosis compared to other strategies
• Lower-Extremity Venous Ultrasound in DVT-Unlikely Patients with Positive D-Dimer Test
• Comparison of the Accuracy of Emergency Department-Performed Point-of-Care-Ultrasound (POCUS) in the Diagnosis of Lower-Extremity Deep Vein Thrombosis
• Test Characteristics of Emergency Physician-Performed Limited Compression Ultrasound for Lower-Extremity Deep Vein Thrombosis

We’re excited to be releasing this updated feature over the summer. It’s been a rewarding challenge to modernise such a longstanding system by integrating cutting-edge AI and LLM technology. While the core mechanism remains familiar, the enhancements deliver a clear improvement, broadening the scope of results and offering deeper insights. It’s a great example of how old and new can work better together than either alone.

The quality of AskTrip’s answers is fundamental to earning users’ trust, and we’ve recently shared the key areas we’re focusing on to make improvements [see: 1,400 Qs = lots of learning]. But as we’ve passed the 1,500-question mark, something important has become clear: scaling up is revealing issues that weren’t visible in our earlier testing.

We manually review every Q&A and flag any that we feel don’t meet our standards. So far, we’ve identified 13 clear failures – less than 1% of the total. We suspect there are a similar number that aren’t outright bad, but also not good enough. So let’s say 26 out of 1,500 (about 1.7%) are sub-optimal. While that’s a small number, we’re determined to drive it down further.

As noted in our previous post, we’re analysing these issues closely and have already identified concrete steps that should lead to significant improvements. But this phase has also highlighted a broader insight: these kinds of flaws only emerge at scale.

Just as randomized controlled trials often lack the power to detect rare side effects, early pilots of AI systems – like our initial 250-question evaluation – can miss edge-case failures. It’s only through broader, real-world use that such issues surface. And that’s invaluable. These findings help us better understand the limits of our system and guide the next wave of improvements.

We increasingly see AskTrip as a journey. The launch went well, and now we’re building on that strong foundation with meaningful refinements. Will it ever be perfect? Probably not. But our commitment to continual improvement is unwavering.

It’s been an incredibly rewarding learning process so far—here’s to the next 1,500 questions.

Click here to try it now!

NOTE: The site is running a bit slow as the system is working hard on the translations!

It’s been a fantastic month for AskTrip — we’ve now handled over 1,400 questions! Even though we’re still early in the journey, we’ve already identified a number of ways to make AskTrip even better:

AskTrip en español – we’re currently testing this and hopefully it’ll be released sometime in August.

Helping When Evidence Is Limited

Coming soon (testing in August, possible release in September), a two-pronged approach when answers are limited by a lack of strong evidence:

• Widen the question – We’ll automatically suggest broader versions of the user’s question to help surface more relevant evidence.
• Look beyond Trip – Our database prioritises high-quality content, but users will have the option to search outside Trip when needed.

Improving Answer Quality

We know quality is about more than just evidence:

• Quality control – We’re logging answers flagged as problematic and digging into the causes.
• Prompt tuning – We’re refining how the system asks and interprets questions to avoid confusing or off-target responses.
• Adding extra content – Where we find gaps in our database, we’re working to fill them.
• Studying (with an academic partnership) low-evidence Q&As – These may offer insight into gaps in the literature, and we’re starting to explore them more formally.
• Better automatic scoring – We’re improving how we measure the quality of each answer.

Transparency
We’re committed to demystifying how AskTrip works — it’s essential for building trust. More on this soon.

Save Q&As
This has been requested by users, and we’ve taken note!

After all that?
We’re also thinking big – educational features, deeper evidence reviews, and new types of answers are all on the horizon.
And there’s one idea so ambitious we’re not even going to mention it yet – it sounds wild, but it just might be possible.

Thanks for being part of the journey
We’re learning fast, improving all the time, and always open to feedback. AskTrip is built to help you find answers you can trust — and we’re only just getting started.

Estará disponible pronto — qué tan pronto depende de cómo vayan las pruebas (It’s coming soon – exactly how soon depends on the testing!)