On enhancement of inter-activity for knowledge sharing in eHealth

Guo, Yang; Yao, Yong; Bai, Guohua

doi:10.1109/iccomm.2016.7528335

Cited by 3 publications

(4 citation statements)

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“…Guo et al (2016) suggested an activity theory grounded on an ontology design to systematically signify numerous health operators in the e-health mechanism. Three typical inter-activities among these health actors were presented.…”

Section: Review Of Selected Articlesmentioning

confidence: 99%

“…They described the theoretical scheme and investigated an instance use case showing how the method can simplify the practice-oriented medical KS over geographical limits. Guo et al (2016) suggested an activity theory grounded on an ontology design to systematically signify numerous health operators in the e-health mechanism. Three typical inter-activities among these health actors were presented.…”

Section: Provided Frameworkmentioning

confidence: 99%

“…Researchers and health specialists have been motivated, by the new developments in health text-computing methods, to dig deeper than just reading the data obtained from published manuscripts (such as academic texts and medical accounts) and organized questionnaires, to find new knowledge by extracting it from health resources (Piad-Morffis et al, 2019a, 2019b. As such, knowledge and knowledge sharing (KS) have appeared as key problems for e-health management, because of the active interactions among various health care-related parties and the intricate data architectures within these (Guo et al, 2016). Effective management of information, knowledge, information mechanisms and technology is essential in today's health-care institutions to gain a competitive benefit, support medical decision-making, patient management, financial management, resource scheduling, resource assignment, priority setting, tactical managing and altering institutional procedures.…”

Section: Introductionmentioning

confidence: 99%

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The impact of knowledge on e-health: a systematic literature review of the advanced systems

Hosseinzadeh

Ahmed

et al. 2020

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Purpose Economists have recognized knowledge management as a promising tool regarding all aspects of the economy, including health care. The volume of biomedical literature is currently growing at an exponential rate, and the vast number of studies makes it extremely difficult for researchers to keep up with new developments in their research areas. Therefore, the efficient management of huge amounts of data and the accuracy of the knowledge thus obtained are vital concerns. Electronic health (e-health) has emerged as a useful concept to provide data for solo self-care management. Although health care is a common topic on the internet, patients rarely share their health care-related knowledge on social media. This study aims to examine the impact of knowledge on e-health. Design/methodology/approach This paper complies with the methodological requirements of systematic literature reviews. The present paper has investigated the newest systems and studied their practical techniques in detail. The effects of knowledge on e-health have been categorized into major groups. Findings The outcomes indicate that the capabilities of information and communication technology certainly promote the exchange of knowledge within clinics. The results also show that institutional architectures have significant impacts on knowledge-sharing exercises, significantly improving patient safety. Practical implications These findings will be essential in the understanding of the interplay among various signals in theory and in the understanding of patients’ choice in the e-health community in practice. The results have implications for existing health management and e-health literature. The present paper will help policymakers, health-care executives and project managers to effectively set their operations and make them maintainable, prevent unpredicted obstacles and better allocate their resources. Overall, the results of this paper will guide researchers who are working in the field of e-health. Originality/value E-health attempts have mostly focused on answering questions using context-specific technical answers, regardless of the key role of knowledge resources. The present paper has provided an innovative viewpoint on how knowledge resources and knowledge-sharing initiatives may have a role in the innovative work behaviors shown by health-care employees. As noted before, there have been only a few studies regarding the effects of knowledge on health care, so the present paper contributes to the previous literature, particularly about e-health.

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Section: Review Of Selected Articlesmentioning

confidence: 99%

Section: Provided Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The impact of knowledge on e-health: a systematic literature review of the advanced systems

Hosseinzadeh

Ahmed

et al. 2020

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“…This raises the need to develop the substantial healthcare services with innovative technologies from both industry and academia [3] [4]. A major technical challenge refers to the requirement for the provision of high-quality healthcare services delivered from the Care Provider (CP) like, e.g., a nurse, a doctor, to the Care Receiver (CR) such as a patient [5]. One important research focus associated with this challenge is laid on the problem called appointment scheduling Journal of Service Science and Management [6] [7].…”

Section: Introductionmentioning

confidence: 99%

On Performance of Prioritized Appointment Scheduling for Healthcare

Guo¹,

Yao²

2019

JSSM

Self Cite

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Designing the appointment scheduling is a challenging task for the development of healthcare system. The efficient solution approach can provide high-quality healthcare service between care providers (CP)s and care receivers (CR)s. In this paper, we consider the healthcare system with the heterogeneous CRs in terms of urgent and routine CRs. Our suggested model assumes that the system gives the service priority to the urgent CRs by allowing them to interrupt the ongoing routine appointments. An appointment handoff scheme is suggested for the interrupted routine appointments, and thus the routine CRs can attempt to re-establish the appointment scheduling with other available CPs. With these considerations, we study the scheduling performance of the system by using the Markov chains based modeling approach. The numerical analysis is reported and the simulation experiment is conducted to validate the numerical results.

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