Development and validation of a new tool to identify factors that influence users' motivation toward the use of teleconsultation systems: A modified Delphi study.
Sign Up to like & getrecommendations! Published in 2021 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2021.104618
Abstract: BACKGROUND Healthcare providers have improved consumer access to healthcare services by the adoption of information communication technology and the use of telemedicine. With the current COVID-19 pandemic, consumers are shifting to remote teleconsultation. There are… read more here.
Keywords: instrument; use teleconsultation; study; teleconsultation ... See more keywords
A preliminary Bayesian network model to identify factors associated with treatment outcome in T2 and T3 laryngeal carcinoma.
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DOI: 10.1016/j.oraloncology.2019.09.007
Abstract: The outcome of early stage (T1-2) laryngeal squamous cell carcinoma (LSCC) is generally good. However, the case of T2 LSCC specifically, is exceptional. Despite it being an early stage tumor by definition, some studies have… read more here.
Keywords: carcinoma; bayesian network; model identify; preliminary bayesian ... See more keywords
Towards effective outbreak detection: a qualitative study to identify factors affecting nurses’ early warning surveillance practice in Solomon Islands
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DOI: 10.1186/s12913-018-3508-9
Abstract: BackgroundIntelligence generated by a surveillance system is dependent on the quality of data that are collected. We investigated the knowledge, attitudes and practices of nurses responsible for outbreak early warning surveillance data collection in Solomon… read more here.
Keywords: warning surveillance; surveillance; surveillance practice; early warning ... See more keywords
Using machine learning to identify factors associated with practice location of the healthcare workforce.
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DOI: 10.22605/rrh7050
Abstract: INTRODUCTION Past studies examined factors associated with rural practice, but none employed newer machine learning (ML) methods to explore potential predictors. The primary aim of this study was to identify factors related to practice in… read more here.
Keywords: practice; factors associated; machine learning; workforce ... See more keywords
Use of EHR Data to Identify Factors Affecting the Time to Fall
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DOI: 10.3233/978-1-61499-830-3-1043
Abstract: Although there are many studies of falls occurring in a hospital setting, research on factors affecting time to fall after admission is scarce. It is important for nurses to identify factors contributing to an early… read more here.
Keywords: time fall; factors affecting; affecting time; identify factors ... See more keywords