Library Data
be buried deep below page after page of other results.
Semantic searching In order to provide more precise information retrieval, a medical organisation needs to apply the principles of ‘semantic search’, which seek to address searchers’ intent and the contextual meaning of the terms they are using. In developing a ‘semantic search’ capability for a healthcare information management system, an organisation must first put in
can eliminate ambiguity, direct the user and present the information in context. The ontology is employed to implement automatic content classification. This is essential because the ‘tagging’ of documents within an information management system is usually applied manually, making it inconsistent and costly (where it has been done at all). The growing volume of information, human error and the differing standards and methodologies of the various groups, departments and individuals supplying
Software scans each document, intelligently recognises key terms from the ontology, and tags the content with the right ‘labels’ for later retrieval
place an ‘ontology’ – a ‘semantic model’ that encompasses a vocabulary of all the medical terms that would be used by clinical staff or researchers. Such a semantic model recognises the significance of keywords in certain contexts – for instance, MS meaning ‘multiple sclerosis’ rather than ‘Microsoft’ or ‘Marks and Spencer’. The ontology also embraces contextual relationships between the symptoms inputted, such as ‘headache’ and ‘meningitis’. When this is used to drive the search experience, it
and labelling content makes an automatic meta-tagging solution essential to delivering a consistent and satisfactory ‘find’ experience. Software for providing automatic tagging
scans each document, intelligently recognises key terms from the ontology, and tags the content with the right ‘labels’ for later retrieval during a search. In this way, all information on an information management system is automatically tagged with accurate, standardised and consistent labels – metadata –
ANALYSIS
so that when a professional searches for medical information they only receive relevant, topical content in the correct context. The National Health Service (NHS) in
the UK has already implemented a semantic approach to its primary patient portal, NHS Choices. This helps patients to tap into its information resources online to get information of general healthcare, medical conditions and treatment options. Last November the health service reported that NHS Choices received more than 100 million visits over a 12-month period, while a study from Imperial College London found that a third of those logging onto
www.nhs.uk decided against seeing a doctor afterwards – dramatically cutting the number of unnecessary doctor and hospital visits in the UK and saving the NHS an estimated £44 million in costs. Using an accurate and efficient internal
search platform is essential for any organisation. Failure to locate and utilise information assets effectively is irritating at best, costly at worst. Nowhere can this be more important than within the medical arena where the ability to pull up accurate information in an instant is, in the true sense of the word, critical.
Jeremy Bentley is chief executive of Smartlogic
In which direction is our modern information society going?
Which media and formats are opening up completely new opportunities and business models?
How can we prepare the world’s knowledge in a way that as many people as possible are able to use it?
everyTHIng: 4.2 Hall 4.2 – the Hall for specialist Information, sTM & Academic Publishing at the Frankfurt Book Fair
How is the industry expanding its network?
What will the library of the future look like?
THe AnsWer To
www.book-fair.com/4.2
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