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Improving the Patient Discharge Planning Process through Knowledge Management by Using the Internet of Things

Kamalanathan, Nitya Ahilandam and Eardley, Alan and Chibelushi, Caroline and Collins, Tim (2013) Improving the Patient Discharge Planning Process through Knowledge Management by Using the Internet of Things. Advances in Internet of Things, 03 (02). pp. 16-26. ISSN 2161-6817

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Abstract or description

The UK National Health Service (NHS) is faced with problems of managing patient discharge and preventing the prob- lems that result from it such as frequent readmissions, delayed discharge, long waiting lists, bed blocking and other such consequences. The problem is exacerbated by the growth in size, complexity and the number of chronic diseases in the NHS. In addition, there is an increase in demand for high quality care, processes and planning. Effective Discharge Planning (DP) requires practitioners to have appropriate, patient personalised and updated knowledge in order to be able to make informed and holistic decisions about a patients’ discharge. This paper examines the role of Knowledge Man-agement (KM) in both sharing knowledge and using tacit knowledge to create appropriate patient discharge pathways. The paper details the factors resulting in inadequate DP, and demonstrates the use of Internet of Things (IoT) and Ma-chine2Machine (M2M) as candidate technologies and possible solutions which can help reduce the problem. The use of devices that a patient can take home and devices which are perused in the hospital generate information, which can serve useful when presented to the right person at the right time, thus harvesting knowledge. The knowledge when fed back can support practitioners in making holistic decisions with regards to a patients’ discharge.

Item Type: Article
Subjects: B800 Medical Technology
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Alan EARDLEY
Date Deposited: 21 Nov 2013 12:00
Last Modified: 21 Nov 2013 12:00
URI: http://eprints.staffs.ac.uk/id/eprint/1810

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