Interpretability of clinical decision support systems based on artificial intelligence from technological and medical perspective: A systematic review

Q Xu, W Xie, B Liao, C Hu, L Qin, Z Yang… - Journal of healthcare …, 2023 - Wiley Online Library
Background. Artificial intelligence (AI) has developed rapidly, and its application extends to
clinical decision support system (CDSS) for improving healthcare quality. However, the …

[HTML][HTML] Issues associated with the use of semantic web technology in knowledge acquisition for clinical decision support systems: systematic review of the literature

S Zolhavarieh, D Parry, Q Bai - JMIR medical informatics, 2017 - medinform.jmir.org
Background: Knowledge-based clinical decision support system (KB-CDSS) can be used to
help practitioners make diagnostic decisions. KB-CDSS may use clinical knowledge …

Internet of things enabled in-home health monitoring system using early warning score

A Anzanpour, AM Rahmani, P Liljeberg… - Proceedings of the 5th …, 2015 - dl.acm.org
Early warning score (EWS) is an approach to detect the deterioration of a patient. It is based
on a fact that there are several changes in the physiological parameters prior a clinical …

Impacts and risks of adopting clinical decision support systems

W Bonney - Efficient decision support systems: practice and …, 2011 - books.google.com
1. Background The development of interoperable Healthcare Information Systems such as
Electronic Health Record (EHR), Electronic Medical Record (EMR), and Personal Health …

Variation in health care providers' perceptions: decision making based on patient vital signs

A Zarabzadeh, J O'donoghue, Y O'connor… - Journal of decision …, 2013 - Taylor & Francis
Clinical decision making plays an imperative role when delivering healthcare services. To
assist healthcare practitioners in decision making activities, Early Warning Scorecards …

Features of electronic early warning systems which impact clinical decision making

A Zarabzadeh, M O'Connell… - 2012 25th IEEE …, 2012 - ieeexplore.ieee.org
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 …

Internet-of-Things-Enabled Early Warning Score System for Patient Monitoring

ML Sahu, M Atulkar, MK Ahirwal… - IETE Journal of …, 2024 - Taylor & Francis
Measuring the physiological parameters and their variations for 24 h provides a significantly
visible pattern for patient health monitoring. The life-threatening event can be identified by …

The framework for REVIEWS: an exploration into design principles for an electronic medical early warning system observation chart

F Creedon - 2016 - cora.ucc.ie
The observation chart is for many health professionals (HPs) the primary source of objective
information relating to the health of a patient. Information Systems (IS) research has …

KQA: A knowledge quality assessment model for clinical decision support systems

S Zolhavarieh, D Parry - MEDINFO 2017: Precision Healthcare …, 2017 - ebooks.iospress.nl
Informatics researchers have developed many methods for using computers to utilize
knowledge in decision making in the form of clinical decision support systems (CDSSs) …

Catalyst is important everywhere: The roles of fog computing in an IoT-based e-healthcare system

S Nayak, D Banik - Interoperability in IoT for Smart Systems, 2020 - taylorfrancis.com
The Internet of Things (IoT) is defined as a model where a network of internet connects
objects which are capable of collecting and exchanging data with each other to serve a …