Health Information Week Promotional Resources – new for 2020

As Health Information Week 2020 is fast approaching (6th-12th July), we’d like to update you about the new Health Information Week promotional resources that are now available to you. Please feel free to start to use them to promote any events or campaigns you are running as part of #HIW2020.

In the Resources section of the new website, you will find

  • A wide variety of poster templates
  • Our logo for you to use and some branding guidelines, including the codes for the HIW colours, to make things easier for you
  • There is also a collection of fonts for you to download to make your posters and promotional materials stand out and be identifiable as #HIW2020. Information on how download and install the fonts is also available
  • The Reading Agency has created a Social Media Toolkit for #HIW2020; this is aimed at public libraries, but the information in the toolkit is very useful and can be brought into your setting. We would recommend reading through this

When running and promoting your events, please use the hashtag #HIW2020 and tag us in your tweets, @HealthInfoWeek

If you have any queries about the new resources and templates, please email us: Healthinfoweek@gmail.com.

We are looking forward to seeing all your work next week!

A Glimpse of the Future – Iris.ai in Mersey Care Evidence Service

As an information professional I feel duty bound to continually improve the service I deliver and as a manager I feel it is my responsibility to drive change in my services instead of waiting for change to happen to us. Feeling buoyed by our success in launching our browser extension Lean Library in 2019 we began to explore implementing some form of Artificial Intelligence (AI) into our service.

When researching AI options we backed away from a customer facing search tool as this technology currently lacks the sophistication to handle more than two search terms. Also within the service we already offer our users a variety of access points into the evidence base: HDAS, Discovery tool, our browser extension. So, we had to ask ourselves whether adding another search tool would benefit our users or overwhelm them?

We began to think more deeply about how AI could benefit our service. The primary focus of our team is the creation of evidence reviews: a rapid synthesised literature search available to anyone in the organisation. They are increasingly popular and while our Trust has doubled in size over the last few years the Evidence Service staff numbers have remained static. This growing tension between demand and supply led us to explore whether there was anyway AI could help us in carrying out these searches; this led us to Iris.ai.

We are the first NHS organisation to use Iris, a “young” AI with a primary function of Chemistry R&D although throughout the pandemic it has been used for COVID-19 research. The software is currently made up of two elements called Explore and Focus, Focus mode is essentially a way of refining your search results so below I will focus on the Explore mode; the search function of Iris.

We bought Iris in an off-the-shelf format; it has read and continues to read all Open Access papers (there is a more expensive option which allows it to read all your online holdings). In reading papers Iris can understand keywords, concepts, context and relationships which it can then map against all the other papers it has read. This theoretically changes the nature of searching as the AI will be able to identify relevant papers that might not contain the keywords used in a more traditional search.

The first thing to note when using Iris is that it uses natural language processing (NLP). Essentially, the software wants you to type your question in a normal, fluent format. This is a seismic change for librarians used to honing search questions to the bare number of keywords; Iris wants you to enter between 300 to 500 words. When inputting your question Iris is identifying keywords and context that it will match in the information it has read. A library user isn’t going to deliver their search question in this format so the librarian either needs a strong understanding of the subject area or a dialogue with the user to get the context that IRIS needs to function. On submitting a search question IRIS will create a fingerprint of your results comprised of concepts it has identified.

Fig 1. Iris concept map

At this stage you can download all results or click into concept cells and see the papers Iris has identified for you, clicking into a paper gives you the option for Iris to search for related papers. In this image the 76% is the relevancy score Iris has attached to a specific paper.

Fig 2. Sample result

At this point you can begin to remove unhelpful terms, promote more helpful terms and apply limits such as date or relevancy percentage. Applying any filter creates a modified concept map.

Fig 3 search limiters

Fig 4 hierarchy screen

We negotiated our deal with Iris at the start of 2020 with a start date of 1st April; so as with many things our use has been affected by COVID-19 as our team priorities shifted and our opportunity for collaborative learning decreased. In this current state the software is a very specialised tool, in no way intended for your library user or student and even for information professionals it presents a steep learning curve asking us to reformulate questions in a way that might feel unnatural to us. We use Iris concurrently with HDAS; so in this sense it is not saving us research time however it does add depth to our searches finding relevant papers that are not returned through standard methods.

As I mentioned earlier Iris is still “young” at version 6.0 and will continue to develop and grow, with an exciting future already outlined. Essentially we are asking not what Iris can do for us today but what we may do together in the future. Moreover investing in Iris, and our other technologies has not only directly benefitted the service but has also help change the perception and profile of the evidence service in the wider organisation, in this sense embodying change, progress and technology can never be a wasted investment.

Andrew Cheney
Evidence Services Lead
Mersey Care NHS Foundation Trust
www.evidentlybetter.org
@evidentlybetter

KM to KM – Knowledge Management to Knowledge Mobilisation: a trend?

A reflection from David Stewart

“Knowledge Management (KM), what’s that then?” A question I used to dread. That “crunch” moment in the lift when a very senior person asks you a question that really takes more than 30 seconds to answer. I had never heard of knowledge management until the later 1990s; it certainly did not feature in my librarianship course in 1981, but then neither did computers!

Once I heard the term, I started to try to find out more. There was a bewildering array of theoretical articles some of which promised to supercharge our workplace; others were very dismissive; “knowledge can’t be managed” I collected them together and soon had two box files full and was none the wiser. Then someone pointed me to a local academic, Dr Jim Hughes at Salford University who was lecturing in KM. Jim ran a whole series of seminars for North West NHS librarians in the early 2000s, helping us to understand where it came from and what it might be. We also worked with Dr Chris Mimnagh, a GP and commissioner who was very enthusiastic about the potential of KM. Chris now works with The Innovation Agency in the North West.

Over the next fifteen years KM appeared to come and go, sometimes being treated as a “nice to have” and not a priority in financially constrained times. Nevertheless, it became an important strand as we wrote and published Knowledge for Healthcare in December 2014. The Mobilising Evidence and Knowledge workstream has been our programme for bringing Knowledge Management to the centre of our offer into the healthcare system. This firmly twins our long-established role in disseminating and providing access to evidence from research and practice with a corporate responsibility to better manage and use knowledge and shared learning.

Five years on, and reviewing what we have achieved, I believe we have moved significantly on the KM front. Almost all NHS library and knowledge services (note that we now refer to knowledge services  as an integral part of our function) have been able to demonstrate, via their Library Quality Assurance Framework (LQAF) returns, that they are actively involved in some aspect of KM within their trust. We have recently published a new edition of the KM Framework postcards describing learning before, during and after techniques; more and more of us can run a knowledge café and understand what the goldfish bowl technique is. More NHS organisations are using the Health Education England self-assessment tool to assess how well they are using evidence and organisational knowledge, working with health library and knowledge specialists to prioritise KM activities.  We are about to initiate market research on potential demand for an e-qualification in KM for NHS staff.

I believe we are in a very different KM space than even five years ago. Listen to my recent Webinar on the background and context of Quality and Improvement Outcome Four of the new Quality and Improvement Outcomes Framework where I say that KM “will become the every-day core of what we do” – delivering Knowledge and Library Services to ensure that organisational knowledge and best evidence are mobilised to achieve excellent healthcare and health improvement.

David Stewart, Head of Library and Knowledge Services North, Directorate of Innovation and Transformation, Health Education England