Exploring Cloudy Collaboration in Healthcare: An Evaluation Framework of Cloud Computing Services for Hospitals

Gao, Fangjian; Thiebes, Scott; Sunyaev, Ali

doi:10.1109/hicss.2016.125

Cited by 7 publications

(6 citation statements)

References 55 publications

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“…This observation challenges previous studies about traditional health IT (type 2), which have concluded that health care organizations primarily focus on the use of IT applications for administrative, strategic, or financial functions rather than clinical activities [ 50 ]. These findings reflect an urgent need to use CC to remedy the deficiencies of traditional health IT in the context of health care organizations’ clinical activities, as revealed by our literature review [ 51 ].…”

Section: Discussionmentioning

confidence: 53%

“…Only a small fraction of these CCSs (6/21) involved patient data from external sources (dimension: patient data involved). Including patient data from different sources is the basis of collaboration in clinical activities [ 51 ]. Our interviewees (i02, i05, i08, i11, i15) noted that including patient data from external sources (eg, external medical professionals or patients themselves) is relevant for improving collaboration in clinical processes because “no hospitals can depend only on themselves.…”

Section: Discussionmentioning

confidence: 99%

“…Future research should therefore strive to improve CCSs for collaboration in clinical activities due to the currently (still) insufficient state of CCSs (as well as general health IT [ 51 , 60 ]) for supporting collaboration. Moreover, researchers could also investigate how CC supports collaboration in areas other than clinical settings in health care.…”

Section: Discussionmentioning

confidence: 99%

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Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions

Gao¹,

Thiebes²,

Sunyaev³

2018

J Med Internet Res

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BackgroundCloud 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.ObjectiveWe 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.MethodsWe 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.ResultsOur 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.ConclusionsBy 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.

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Section: Discussionmentioning

confidence: 53%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions

Gao¹,

Thiebes²,

Sunyaev³

2018

J Med Internet Res

Self Cite

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“…A questionnaire was designed by authors based on previous studies 27,28,35,36,38 to collect the data. The authors obtained permission to distribute the questionnaires from the given hospitals' managers.…”

Section: Methodsmentioning

confidence: 99%

Affecting factors of cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences: A cross-sectional study in the Southeast of Iran

et al. 2021

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Objective Health care organizations require cloud computing to remain efficient and cost-effective, and provide high-quality health care services. Adoption of this technology by users plays a critical role in the success of its application. This study aimed to determine factors affecting cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences. Methods A cross-sectional descriptive and analytic study was performed in 2017. The study population comprised information technology and hospital information system authorities and hospital information system users. The sample consisted of 573 participants. The data were collected using a questionnaire and analyzed with the Statistical Package for Social Sciences software using descriptive and analytical statistics. Results The mean score of environmental, human, organizational, technological, and intention dimensions of cloud computing adoption was 3.39 ± 0.81, 3.27 ± 0.63, 3.19 ± 0.71, 3 ± 0.43, and 3.55 ± 1.10, respectively. Furthermore, a significant positive relationship was found between intention of cloud computing adoption and environmental ( R = 0.521, p = 0.000), organizational ( R = 0.426, p = 0.000), human ( R = 0.492, p = 0.000), and technological dimensions ( R = 0.157, p = 0.000). Conclusions Benefits of cloud computing adoption, relative advantage, and competitive pressure were identified as the most influential factors in accepting cloud computing. Simplifying the users’ understanding of this technology and its application, improving the staff's technical capabilities, promoting executive managers’ understanding of the nature and functions of cloud computing, and fully supporting and increasing governmental mandates for adoption of new technologies are necessary for facilitating the adoption of cloud computing in given hospitals.

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“…In many healthcare organizations, though, existing health information systems are not well-suited to healthcare collaboration [12]. A number of systems suffer multiple deficiencies, such as a) inadequate support for the various healthcare roles (e.g., patients, doctors, insurance companies, pharmacists) [12], b) high cognitive overload associated with the exchange of high-volume patient data [13], and c) delayed or incomplete communication among collaborators [14]. These insufficiencies impede collaboration, which fosters medical errors (e.g., misunderstanding caused by incomplete communication) that degrade healthcare and put patients at risk [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Organizational Multi-Stakeholder Collaboration Systems: An Exploratory Research Study of Design Concerns in Healthcare

Gao¹,

Briggs²,

Thiebes³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Much Collaboration Engineering research focuses on collaboration systems for teams of five to fifty members. That research can also inform large-scale multi-organizational multi-stakeholder (MO-MS) collaborations such as disaster relief, joint ventures, and healthcare. These larger contexts, though, present design concerns beyond those for smaller teams, and not all these concerns are self-evident. This paper explores the design concerns for IT-supported MOMS collaboration. We selected the healthcare industry as the first exemplar domain for this inquiry mainly because research shows high potential benefits from, and substantial challenges to implementing systems for collaborative healthcare. We draw on an extensive literature review, and 50 semi-structured interviews with experts to discover and validate collaboration challenges presented by in-house and cloud-based IT services for healthcare. We derive an eleven-class typology of design concerns related to MOMS collaboration, and derive requirements-elicitation design questions for each class. To demonstrate its utility, we draw on exploratory findings to elaborate the generalizable typology with design probes specific to healthcare collaboration systems.

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Exploring Cloudy Collaboration in Healthcare: An Evaluation Framework of Cloud Computing Services for Hospitals

Cited by 7 publications

References 55 publications

Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions

Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions

Affecting factors of cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences: A cross-sectional study in the Southeast of Iran

Multi-Organizational Multi-Stakeholder Collaboration Systems: An Exploratory Research Study of Design Concerns in Healthcare

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