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Tech Report kmi-06-10 Abstract


Knowledge work in nursing and midwifery: an evaluation through computer mediated communication
Techreport ID: kmi-06-10
Date: 2006
Author(s): Fiona Brooks, Peter Scott
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Recent changes in policy and culture require health workers to incorporate ??knowledge work?? as a routine component of professional practice. Innovative computer-mediated communication technologies provide the opportunity to evaluate the nature of ??knowledge work?? within nursing and midwifery. This study embedded an online discussion system into an acute NHS Trust to support interaction within communities of practice. The complete record of online communications was analysed. Nurses were found to predominantly engage in information work with knowledge work restricted to senior-to-senior level exchanges. In contrast, midwives were observed to employ the technology to support knowledge work between all grades. The study indicates that technology can support knowledge work, including conveying tacit knowledge effectively.

Publication(s):

International Journal of Nursing Studies, Vol.43, 1, (83-97), Elsevier.
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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