Recently I had to do a search to see if a particular tool had been validated for use in nursing / midwifery settings
I did a thorough search using several databases as well as looking at all the articles citing the original paper in question
In the end, I was quite confident that the tool hadn’t been used in these settings (which is what the researcher was hoping to hear as they want to validate it for those settings)
Out of interest, I thought I’d put the same question to several AI’s (largely dictated by the ones that haven’t been blocked at work & those that offer a free tier search)
I wasn’t expecting that much as the original paper had been cited around 150 times and many of the articles contained words or phrases related to validation (“we used a validated instrument” etc) as well as being used in nursing and midwifery settings (but not validated for such use) so that you could imagine the AI’s would quite easily be misled & discombobulated, and so conflate this to mean that it had actually been validated in those settings.
The simple question used with each AI tool was:
The Research Capacity and Culture (RCC) tool was developed in 2012 (DOI: 10.1071/PY10081). Are there any articles which subsequently describe specifically validating this RCC tool for use with nurses or midwives?
Rather to my surprise, I found that not one of the eight AI’s made this error, and all correctly concluded that it hadn’t been validated in those settings (Undermind did identify one study where some partial psychometric validation had been performed – key summary report here)
So overall, I was quite impressed by their performance. Of course, this was one search & a long, long way from a proper evaluation
(Later on I asked the same question of Copilot and it also gave the correct answer and suspiciously quickly. Perhaps it had been eavesdropping on the others …)
🐈⬛ 🐕 🐧 🦋 🐁 🐜 🐛
On a related note, people are often concerned about hallucinated citations
I’ve been using Undermind.ai a fair bit over the last few months (have paid for a subscription so not limited in number of searches).
A given Undermind search will produce x number of citations and when I export those into Paperpile, the number is always the same and all the paper titles are on the topic (one example)
This meshes with what I’ve read – Undermind doesn’t hallucinate citations (but sometimes the article metadata can have errors – not a problem if the reference manager can update citations)
Scholar Sidekick formats citations & offers several other tools (scroll down to view). One potentially useful one is citation verification (use the Batch option on the right to verify up to 10 citations at a time)
It has a valuable Citation Integrity page which gives three examples of how citation fabrication can occur, which is an interesting read
The tool provided goes beyond those that just check whether a DOI resolves, which by itself is not sufficient, and so could be a useful to provide increase confidence that citations are genuine.
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For those using Ovid Discovery, there is now a discussion list you can join
It’s available in the relevant area of the HLA site, along with quite a few others of potential interest
The platform is freelist.org and as the name suggests it’s free and also quite easy to set up and use so you can create your own discussion list if you wish
🐈⬛ 🐕 🐧 🦋 🐁 🐜 🐛
“She replicated a full year of the world’s most influential journal in a single weekend”
“ChatGPT 5.0 … approaching but not matching human performance.”
” AI can substantially reduce the time and labor required”
🐘 Left hand truncation (from the expert searching listserv – mainly added so could use the elephant icon for truncation)
“left-hand truncation is possible in Cochrane Wiley, which can be quite helpful. For example, *glyc*mi* returns multiple spellings, including hypoglycaemia, hyperglycemic, glycaemic, etc”
“MEDLINE through Web of Science makes left truncation possible: *therap* in title: 1,514,613 hits; therap* in title: 1,111,039” “While we cannot left-truncate in Ovid, we can mid-truncate.C*fentan*.ti. for example retrieves cyclopropylfentanyl along with carfentanil, carfentanyl, etc.”
“laptop $500..$800 returns results mentioning prices in that range. The same syntax works for years (civil rights legislation 1964..1968) or any other measurement”
“other agents such Claude Health and Wellness AI are gaining patient traction so fast that the NHS is in a dilemma about how it will manage its comprehensive information triage service – an equivalent idea to 1800Medicare which has been around more than a decade.”
“Wolters Kluwer Health today announced a collaboration with Microsoft that integrates UpToDate®, a leading clinical decision support (CDS) solution, with Microsoft Dragon Copilot, Microsoft 365 Copilot, and Microsoft Teams”
“But no Australian health institution dealing at scale with patients will be able to ignore what Amazon has now shown the new AI agents can do at scale in the UC San Diego Health experiment: EMR linked agentic patient verification, appointment management, patient insights, ambient documentation, and medical coding, all in real time. The UC San Diego Health project, if nothing else, has proven that in days, not months of integration work at a big provider, an AI engagement agent can give patients faster access to care, clinicians more time for care, and release a conga line of related patient facing staff to do other important work.”
An oldie but a goodie. Easy one for health librarians …
A boy is in a terrible car accident. His father is killed at the scene. The boy is rushed to hospital and taken to the operating theatre. The surgeon walks in, looks at him, and says: “I can’t operate on him — he’s my son”?
Changing minds and methods: providing health sciences faculty with alternatives to systematic reviews assignments
Which Systematic Review Software Works Best? A Practical Comparison
good comparison table
bims: Biomed News (other listservs of possible interest to health librarians available on the Elist section of HLA)
how you can create your own alert if you are particularly interested in a topic, and then others can follow it etc
OpenEvidence
Google Vids – New (Sep 2025) / free (10 min length limit), cloud based, seems pretty easy to use / can provide text & a pretty good AI voice will provide the voiceovers / introductory video
“Prism (free) brings together drafting, editing, citation management, equations, and collaboration in a single, cloud-based environment. Built with native LaTeX support, the platform removes the need for complex local setups while enabling researchers to focus on their work rather than tooling”
” … just a few of the tasks assigned to people on RentAHuman.ai — a platform that allows people to advertise their time and talent to artificial-intelligence agents”
Keyboard shortcuts for Outlook (web version) – in case of use to anyone else who prefers the web version of Outlook (may work in the program also – not sure)
(note – this is with Gmail keyboard shortcuts activated via settings (cog icon top right) > General > Accessibility > Keyboard Shortcuts > select Gmail)
Close email – U (takes you back to list view)
Delete email – Shft 3 (ie #)
Expand (conversation) – ;
Folders (move focus to) – Ctrl Y
Forward email – F
Go to Drafts – G D
Go to Inbox – G I
Go to Sent – G T
Junk – Shft 1 (send message to junk)
Keyboard shortcuts – ?
Label – L
Left panel (hide) – Alt F1
Letter navigation – Alt > letter
Mark read – Shift I
Mark unread – Shift U
Move email to folder – V
New email – C
New Window – Shft Enter (new window. Win up arrow for full screen. Useful to see full chain)
Next email in list – J
Open first email – EnterPin – right click and select
Previous email in list – K
Reply – R
Reply all – A
Search – /
Select – X
Send – Ctrl Enter
Snooze – B (set it to reappear)
Search:
category: e.g. category:tickets (via Label as above)
subject: e.g. subject:iron
from: e.g from:juliet
Boolean: e.g. AND OR NOT (e.g. received:12/03/2024 AND subject:ticket)
attachments: e.g. hasattachment:yes attachments:*.docx
received: e.g. received:today “this week” “this month” “this year” 12/03/2024
to: e.g. to:juliet
Many of you may have heard that Cheryl Hamill is exiting stage left (today actually) after many years being a leading light in health librarianship.
Read the poem written for her – by a librarian with clearly too little work to do – and discover her most ardent parting wish …
“One in four animals on the planet earth is a beetle. Think of your three closest friends – if none of them are beetles, statistically speaking you are probably a beetle” 🪲
New issues of JEAHIL, JCHLA (reviews of Lens, DynaMed, OpenAlex etc)
“We recently introduced otto-SR (Otto Science Institute), a generative AI system for automated screening and data extraction that incorporates advanced prompting strategies and agentic LLM workflows. Data from currently unpublished studies involving benchmarking against dual human reviewers suggest that otto-SR achieved superior performance in both screening (otto-SR: 96.7% sensitivity, 97.9% specificity; human: 81.7% sensitivity, 98.1% specificity) and data extraction (otto-SR: 93.1% accuracy; human: 79.7% accuracy) tasks. Most notably, otto-SR reproduced and updated an entire issue of the Cochrane library (12 SRs) in under 2 days*, highlighting the potential for automation to accelerate evidence synthesis and to provide decisionmakers with timely information. Across these 12 SRs, otto-SR included nearly twice as many eligible studies as the original Cochrane authors (114 versus 64 studies)”
* “Using otto-SR, we reproduced and updated an entire issue of Cochrane reviews (n=12) in two days, representing approximately 12 work-years of traditional systematic review work“. From the preprint describing Otto
“More recently, the concept of agentic RAG has gained traction, promising more sophisticated “deep research” capabilities. Systems developed by industry leaders such as OpenAI [16], Perplexity AI [17], and Google [18] have demonstrated the ability to decompose complex questions, perform iterative searches, and synthesize more comprehensive reports. Yet, these general-purpose agentic systems are not specifically tailored for the biomedical domain … to bridge this gap, we introduce Queryome, a multi-agent deep research system designed specifically for end-to-end biomedical literature analysis. Queryome orchestrates a hierarchy of collaborating AI agents that perform iterative, multi-faceted searches against a curated, comprehensive search engine covering the entirety of PubMed [1]. Crucially, the system is engineered to reason over abstract text of every retrieved article, ensuring that its final synthesis is deeply grounded in the available evidence”
Instats videos – quite a few are free (using Filters (top right) > Sort by > Free. Many are quite technical but there are a number on research, using statistical tools (R, Python etc). An upcoming one is AI Tools for Research 2.0 (requires free registration, can be watched later)
Previously mentioned the many useful ebooks available via Open Educational Resources (OER) but difficulty in keeping track on new ebooks available. You can sign up to receive updates here
Spotted in the Fin Review re terrible corporate jargon – being “Promoted Outwards” is “not about job cuts but giving employees the opportunity to embrace new challenges outside the organisation”
Firmly in the “work smarter, not harder” camp – a library’s change from EZProxy to Open Athens resulted in a huge number of dead links. They were fixing these manually one by one, over two years until …. (article title gives it away)
Thanks to everyone who took the time to complete the recent HLA member survey. We received 55 responses, and the feedback clearly demonstrates strong engagement, generosity of insight, and deep commitment to the health librarianship profession.
Below is a summary of the key themes that emerged across the survey responses (image followed by text further below) 🔽
Strong overall support for HLA
Members consistently expressed high satisfaction with HLA’s role and value, particularly recognising the impact of a volunteer‑run organisation that delivers far more than might be expected with limited resources. Many responses highlighted the collegiality, responsiveness and expertise within HLA, with several noting that HLA is a significant reason they maintain ALIA membership.
Professional development is HLA’s strongest offering
Professional development was clearly identified as HLA’s standout strength. Members value the accessibility of online and lunchtime sessions, consistency across the year, and the peer‑led, practice‑focused approach. There is strong interest in continued PD relating to AI in health librarianship, searching and databases, technical skills, teaching roles, and research, along with support for short, practical formats and clearer progression from beginner to advanced levels.
Advocacy matters, visibility matters more
There is strong support for HLA’s advocacy role, especially in the context of funding constraints, restructuring and technological change. At the same time, respondents would welcome clearer communication about advocacy activity and outcomes, as well as practical, evidence‑based messages that can be used locally with senior decision‑makers.
Communications, publishing and the website
Email was consistently identified as the most effective communication channel. JoHILA is highly valued as both an advocacy and evidence‑building publication, though concerns were raised about publication consistency and visibility. Website content is seen as relevant and high quality, but members noted ongoing challenges with findability and navigation.
Inclusion, connection and future focus
Across the 55 responses, there was a strong desire for greater connection beyond formal PD, particularly for early‑career librarians and those working in solo or changing roles. Members also expressed clear appetite for HLA leadership in research and future‑focused work, especially around AI, integrity, and workforce change.
What you can expect next – early actions in response to your feedback
In response to what you told us, the HLA Executive has identified several immediate, practical actions to improve consistency, visibility and access to what already works well:
Communications, publishing and the website
JoHILA will move to a clearer and more consistent publishing schedule, with a target of three issues per year.
Publication timeframes and submission deadlines will be clearly published on the HLA website to improve transparency and planning.
A Google search box has now been added to the HLA website to support better findability of existing content, resources and advocacy materials.
Professional development
We will investigate a broader range of PD formats and topics, with an emphasis on practical, skills‑based sessions.
This will include clearer differentiation between beginner and advanced sessions, as well as options that support librarians at different career stages and in diverse roles.
Advocacy and visibility
We will more actively share advocacy activity and wins on the HLA website, including examples that members can use locally.
Advocacy updates will also be regularly incorporated into HLA member emails, so this work is more visible and easier to follow.
The overarching message from the survey was clear: members do not want HLA to do more. they want clearer signals, better visibility, greater consistency, and easier pathways into what already works well.
The HLA Executive will use this feedback to guide priorities and practical next steps, and we will continue to update members on actions taken in response to what you told us.
Thank you again for your time, honesty, and continued support of HLA.