2008 Third International Conference on Convergence and Hybrid Information Technology 2008
DOI: 10.1109/iccit.2008.366
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Semantic-Based Exchanger for Electronic Medical Record

Abstract: Considering the importance of the patient's medical information for the caregivers to ensure that patients receive appropriate and safe treatment, especially the emergency room (ER) patients, thus, sharing distributed medical information among healthcare institutions is essential. On the other hand, these institutions suffer from communication gap and the heterogeneity of their medical records. Therefore, a fast and accurate way for sharing medical information is required. This paper proposes MREx, an ontology… Show more

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Cited by 5 publications
(6 citation statements)
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“…For publications in 1995–1999, there were no data sources found. For publications in 2000–2009, data sources used were surveys or questionnaire data [ 30 ], patient or medical data [ 31 – 33 ], clinical or health care research datasets [ 34 ], and patient or disease registries [ 35 ]. For publications in 2010–2019, more data sources were used, including surveys or questionnaire data [ 12 , 24 , 26 , 36 – 96 ], interviews or focus groups [ 25 , 27 , 28 , 37 , 69 , 94 , 97 – 119 ], patient or medical data [ 23 , 120 – 142 ], clinical or health care research datasets [ 23 , 143 – 153 ], patient or disease registries [ 29 , 67 , 154 , 155 ], and social media (Facebook [ 156 , 157 ], Twitter [ 158 , 159 ], Quora [ 22 ], and WhatsApp [ 160 ]) and new social media datasets [ 161 ].…”
Section: Resultsmentioning
confidence: 99%
“…For publications in 1995–1999, there were no data sources found. For publications in 2000–2009, data sources used were surveys or questionnaire data [ 30 ], patient or medical data [ 31 – 33 ], clinical or health care research datasets [ 34 ], and patient or disease registries [ 35 ]. For publications in 2010–2019, more data sources were used, including surveys or questionnaire data [ 12 , 24 , 26 , 36 – 96 ], interviews or focus groups [ 25 , 27 , 28 , 37 , 69 , 94 , 97 – 119 ], patient or medical data [ 23 , 120 – 142 ], clinical or health care research datasets [ 23 , 143 – 153 ], patient or disease registries [ 29 , 67 , 154 , 155 ], and social media (Facebook [ 156 , 157 ], Twitter [ 158 , 159 ], Quora [ 22 ], and WhatsApp [ 160 ]) and new social media datasets [ 161 ].…”
Section: Resultsmentioning
confidence: 99%
“…Beyond the variability built into process models, process participants enact their work within socio‐technical systems that are dynamic, constantly changing, and self‐organised (Arrow & McGrath, 1995). Consequently, to realise specific business objectives, participants aiming to fulfil their day‐to‐day work often end up improving processes (Becker et al, 2009) by implementing “workarounds [which constitute] knowledge about the information systems but in the context of work needs” (Safadi & Faraj, 2010, p. 4). Workarounds, in turn, are an inherent part of business processes (Röder et al, 2015), as they help process participants to solve misfits (Maurer et al, 2012).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Employees may experiment with various options to work around a perceived misfit (Ferneley & Sobreperez, 2006; Safadi & Faraj, 2010), for example, by consulting an expert, looking online, or simply following a trial‐and‐error approach (Alojairi, 2017; Zamani et al, 2020). If employees experience with a specific system or business process, they may soon discover new ways of performing their day‐to‐day work more efficiently (Safadi & Faraj, 2010).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
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