移动医疗中基于理论的问题制定与构想:分析与建议

IF 3.6 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Coquessa Jones, J. Venable
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引用次数: 1

摘要

本文报告了一项关于如何在移动健康领域改善设计科学研究(DSR)中的问题制定和构思的调查。对已发表的移动健康DSR论文中问题制定的系统文献综述发现,问题制定通常执行得很弱,在利益相关者分析、以患者为中心、临床投入、核理论的使用和问题分析方面存在缺陷。该研究建议使用彩色认知映射的DSR (CCM4DSR)作为一种工具来改进移动健康DSR中的问题制定。使用CCM4DSR的案例研究发现,使用CCM4DSR提供了更全面的问题表述和分析,突出了研究团队在使用CCM4DSR之前不明显的方面,这为移动健康功能构想提供了更好的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theory-Based Problem Formulation and Ideation in mHealth: Analysis and Recommendations
This article reports on an investigation into how to improve problem formulation and ideation in Design Science Research (DSR) within the mHealth domain. A Systematic Literature Review of problem formulation in published mHealth DSR papers found that problem formulation is often only weakly performed, with shortcomings in stakeholder analysis, patient-centricity, clinical input, use of kernel theory, and problem analysis. The study proposes using Coloured Cognitive Mapping for DSR (CCM4DSR) as a tool to improve problem formulation in mHealth DSR. A case study using CCM4DSR found that using CCM4DSR provided a more comprehensive problem formulation and analysis, highlighting aspects that, until CCM4DSR was used, weren’t apparent to the research team and which served as a better basis for mHealth feature ideation.
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来源期刊
Journal of Organizational and End User Computing
Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.00
自引率
9.20%
发文量
77
期刊介绍: The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.
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