Aktuelle Version vom 17. Juli 2018, 10:10 Uhr

New Research Article Published in the Journal of Medical Internet Research (JMIR)

13.07.2018

A new research article “Rethinking the meaning of cloud computing for health care: A taxonomic perspective and future research directions” by Fangjian Gao, Scott Thiebes, and Ali Sunyaev has been published as an open access article in the Journal of Medical Internet Research (JMIR).

This research article proposes a taxonomy to specifically conceptualize the term “cloud computing” for health care. By analyzing existing cloud computing services for hospitals and clinics, this article identifies specificities of cloud computing in health care, which challenges our understanding of cloud computing in a common context and from a traditional health IT perspective. In particular, the article reveals that the use of cloud computing services brings more data security and interoperability to health care, cloud computing brings economic benefits to health care organizations only in the long term, and cloud computing focuses on enabling patient-centeredness and supporting collaboration in health care. Based on the industrial specificities, this article suggests valuable directions for future research, including identification of the factors that have industry-specific impacts on cloud adoption/acceptance, explaining the economic results of using cloud computing, and designing and developing cloud computing services that support collaboration in clinical activities.

For more details please use the link to this open access article: http://www.jmir.org/2018/7/e10041/

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 ''13.07.2018''<br><br>
-'''A new research article “Rethinking the meaning of cloud computing for health care: A taxonomic perspective and future research directions” by Fangjian Gao, Scott Thiebes, and Ali Sunyaev has been published as an open access article in the Journal of Medical Internet Research (JMIR).'''<br><br>'''Abstract:'''<br>Background: Cloud computing is an innovative paradigm that provides users with on-demand access to a shared pool of configurable computing resources such as servers, storage, and applications. Researchers claim that information technology (IT) services delivered via the cloud computing paradigm (ie, cloud computing services) provide major benefits for health care. However, due to a mismatch between our conceptual understanding of cloud computing for health care and the actual phenomenon in practice, the meaningful use of it for the health care industry cannot always be ensured. Although some studies have tried to conceptualize cloud computing or interpret this phenomenon for health care settings, they have mainly relied on its interpretation in a common context or have been heavily based on a general understanding of traditional health IT artifacts, leading to an insufficient or unspecific conceptual understanding of cloud computing for health care.<br><br>Objective: We aim to generate insights into the concept of cloud computing for health IT research. We propose a taxonomy that can serve as a fundamental mechanism for organizing knowledge about cloud computing services in health care organizations to gain a deepened, specific understanding of cloud computing in health care. With the taxonomy, we focus on conceptualizing the relevant properties of cloud computing for service delivery to health care organizations and highlighting their specific meanings for health care.<br><br>Methods: We employed a 2-stage approach in developing a taxonomy of cloud computing services for health care organizations. We conducted a structured literature review and 24 semistructured expert interviews in stage 1, drawing on data from theory and practice. In stage 2, we applied a systematic approach and relied on data from stage 1 to develop and evaluate the taxonomy using 14 iterations.<br><br>Results: Our taxonomy is composed of 8 dimensions and 28 characteristics that are relevant for cloud computing services in health care organizations. By applying the taxonomy to classify existing cloud computing services identified from the literature and expert interviews, which also serves as a part of the taxonomy, we identified 7 specificities of cloud computing in health care. These specificities challenge what we have learned about cloud computing in general contexts or in traditional health IT from the previous literature. The summarized specificities suggest research opportunities and exemplary research questions for future health IT research on cloud computing.<br><br>Conclusions: By relying on perspectives from a taxonomy for cloud computing services for health care organizations, this study provides a solid conceptual cornerstone for cloud computing in health care. Moreover, the identified specificities of cloud computing and the related future research opportunities will serve as a valuable roadmap to facilitate more research into cloud computing in health care.<br><br>Link to this open access article: http://www.jmir.org/2018/7/e10041/ <br>
+'''A new research article “Rethinking the meaning of cloud computing for health care: A taxonomic perspective and future research directions” by Fangjian Gao, Scott Thiebes, and Ali Sunyaev has been published as an open access article in the Journal of Medical Internet Research (JMIR).'''<br><br>This research article proposes a taxonomy to specifically conceptualize the term “cloud computing” for health care. By analyzing existing cloud computing services for hospitals and clinics, this article identifies specificities of cloud computing in health care, which challenges our understanding of cloud computing in a common context and from a traditional health IT perspective. In particular, the article reveals that the use of cloud computing services brings more data security and interoperability to health care, cloud computing brings economic benefits to health care organizations only in the long term, and cloud computing focuses on enabling patient-centeredness and supporting collaboration in health care. Based on the industrial specificities, this article suggests valuable directions for future research, including identification of the factors that have industry-specific impacts on cloud adoption/acceptance, explaining the economic results of using cloud computing, and designing and developing cloud computing services that support collaboration in clinical activities.<br><br>For more details please use the link to this open access article: http://www.jmir.org/2018/7/e10041/
-Gao, F., Thiebes, S., Sunyaev, A. J Med Int Res (2018) 20(7): e10041. https://doi.org/0.2196/10041
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Aktuelle Version vom 17. Juli 2018, 10:10 Uhr

New Research Article Published in the Journal of Medical Internet Research (JMIR)