Assessing the impact of Physicians’ Virtual Communities on their medical Decision Making quality Razzaque, Anjum Eldabi, Tillal 2017-12-28T01:48:10Z 2017-12-28T01:48:10Z 2018-01-03
dc.description.abstract Medical decision making is daunting to physicians of its unclear benefits for improving patient care while such decisions are evidence based and also are from the social capital of resources of the advises shared between their peers. Past scholars have reported great deal of medical errors and misdiagnoses caused by physicians: a situation that is degrading healthcare quality. It is not surprising why past research also stressed on the importance to empirically explore the effect of physicians’ virtual community on their medical decision making quality. Virtual communities are a promising initiative in the healthcare sector. This paper describes how the participation of VC members is possible through the application of the Social Capital Theory’s three dimensions in order to assess the effectiveness of physicians’ virtual community so they can make better quality of medical decisions. Such is depicted in this paper’s conceptual model. The model was empirically tested for its validity and reliability using an adapted survey for which data was collected from 204 SurveyMonkey virtual community physician members. The empirical evidence supports the hypothesis of the conceptual model through physicians’ identification and shared vision, i.e. two pre-requisites for medical DM.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.397
dc.identifier.isbn 978-0-9981331-1-9
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject IT Architectures and Implementations in Healthcare Environments
dc.subject Medical decision making quality; Knowledge sharing quality; Physicians' virtual community; Social Capital; Healthcare
dc.title Assessing the impact of Physicians’ Virtual Communities on their medical Decision Making quality
dc.type Conference Paper
dc.type.dcmi Text
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
819.1 KB
Adobe Portable Document Format