You are in : Home » Results & submissions » Select UOA » 11 - Computer Science and Informatics » View submission: Staffordshire University » Outputs » Detail

Output details

11 - Computer Science and Informatics

Staffordshire University

Return to search Previous output Next output

Output 17 of 30 in the submission

Article title

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

Type

D - Journal article

DOI

10.4236/ait.2013.32A003

Title of journal

Advances in Internet of Things

Article number

Volume number

Issue number

First page of article

ISSN of journal

2161-6817

Year of publication

2013

URL

http://eprints.staffs.ac.uk/1810/

Number of additional authors

Additional information

<28> The NHS is faced with inefficient patient discharge, frequent readmissions, long waiting lists and bed blocking. Effective Discharge Planning (DP) requires practitioners to have knowledge to make informed decisions about patients discharge. This paper examines the role of Knowledge Management (KM) in sharing and using tacit knowledge to create patient discharge pathways. It details the factors resulting in inadequate DP, and demonstrates the use of Internet of Things (IoT) and Machine2Machine (M2M) as candidate technologies or solutions which can help reduce the problem. The use of IoT-linked devices can support practitioners in making decisions about patient discharge.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract