基于价值的移动健康应用开发建模。

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES
mHealth Pub Date : 2021-01-01 DOI:10.21037/mhealth-21-32
M. Lipscomb, Alhefdi Mohammad, Alharthi Abdulrahman, L. Jololian
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引用次数: 0

摘要

背景本文介绍了基于价值的建模,传统上是一种业务开发工具,用于改进移动健康应用程序的设计。这项工作的概念基础是设计科学,这是对人工制品的科学研究和创造,以及融合,这是一种将工程与医学相结合的研究方法。研究小组先前所做的相关工作包括使用基于过程和基于信息的建模技术对案例管理系统进行建模。方法基于价值的建模代表了参与者之间交换具有经济价值的东西,包括服务结果。重点是如何在网络中提供、接受和交换有价值的对象。基于价值的模型并不描述交易是如何发生的,而是描述这些交易的净值。这项技术被应用于移动应用系统的设计开发,以改善对医疗服务的访问。结果进行了基于显著值的建模。这些模型强调了有效价值交换在医疗保健交付中的重要性。结论研究结果揭示了服务提供净值的局限性。这些都与时间、成本和责任的限制有关。提出了一项设计改进:在应用程序系统的机器学习组件中开发一个自动化决策子系统。该子系统将根据医疗保健提供者制定的协议,建议在就诊之间对护理计划进行微调。这将为患者不断变化的需求提供灵活的反应,并改善获得服务的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Value-based modeling for mobile health application development.
Background In this paper is presented the use of value-based modeling, traditionally a business development tool, for the improvement of mobile health app design. The conceptual foundations for this work are design science, which is the scientific study and creation of artifacts, and convergence, which is a research method that in this case combines engineering with medicine. Relevant previous work done by the research team included the modeling of a case management system using process-based and information-based modeling techniques. Methods Value-based modeling represents actors who are exchanging with each other things of economic value, including service outcomes. The focus is on how value objects are offered, accepted, and exchanged in a network. Value-based models do not describe how transactions occur, but rather the net value of those transactions. This technique was applied to the design development of a mobile application system for the improvement of access to health services. Results Significant value-based modeling was performed. These models highlighted the importance in healthcare delivery of effective value exchanges. Conclusions The results revealed a limitation on the net value of services delivery. These were related to constraints of time, cost, and responsibility. A design improvement was proposed: The development of an automated decision-making subsystem within the machine learning component of the app system. This subsystem would recommend between-visit micro adjustments to the plan of care based upon protocols established by the healthcare provider. Such would provide an agile response to the patient's changing needs as well as an amelioration to the challenges of access to services.
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CiteScore
5.40
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