@inproceedings{2e5cfdab94a0472d862005aa02497edd,
title = "Features of electronic early warning systems which impact clinical decision making",
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.",
author = "Atieh Zarabzadeh and Mervyn O'Connell and John O'Donoghue and Tom O'Kane and Simon Woodworth and Joe Gallagher and Siobh{\'a}n O'Connor and Frederic Adam",
year = "2012",
doi = "10.1109/CBMS.2012.6266394",
language = "English",
isbn = "9781467320511",
series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
booktitle = "Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012",
note = "25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012 ; Conference date: 20-06-2012 Through 22-06-2012",
}