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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zarabzadeh, A. O'Connell, M. O'Donoghue, J. O'Kane, T. Woodworth, S. Gallagher, J. O'Connor, S. Adam, F. |
| Copyright Year | 2012 |
| Description | Author affiliation: Health Information System Research Centre, University College Cork, Ireland (Zarabzadeh, A.; O'Connell, M.; O'Donoghue, J.; O'Kane, T.; Woodworth, S.; Gallagher, J.; O'Connor, S.; Adam, F.) |
| Abstract | Paper-based Modified Early Warning Scorecards (MEWS) have been developed to help nursing staff detect hospital in-patient deterioration at an early stage. MEWS is based on patient vital signs where these values are transformed into a MEWS score. An electronic Modified Early Warning Scorecard (eMEWS) prototype has been designed and developed to fulfill the role of a computerized Clinical Decision Support System (CDSS) and to assist healthcare professionals in their decision making activities. A review of the existing electronic Early Warning Scorecards (eEWS) revealed they lack certain features that assist in capturing a holistic view of the patient health status for example color codes and vital sign trends. The proposed eMEWS prototype employs these features with the aim of assisting healthcare professionals to obtain a clear understanding of the patient status. A survey was conducted to evaluate the impact of paper-based MEWS and eMEWS as part of the decision making process. The advantages and disadvantages of eMEWS over the paper-based MEWS are presented. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 375239 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467320498 |
| ISSN | 10637125 |
| e-ISBN | 9781467320511 |
| DOI | 10.1109/CBMS.2012.6266394 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-20 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prototypes Decision making Image color analysis Context Color Hospitals |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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