Febrer Nuria, Folkvord Frans, Lupiañez-Villanueva Francisco
Open Evidence Research Group, Universitat Oberta de Catalunya, Barcelona, Spain.
Tilburg School of Humanities and Digital Sciences, Communication and Cognition, Tilburg University, Tilburg, Netherlands.
Front Digit Health. 2021 May 24;3:662874. doi: 10.3389/fdgth.2021.662874. eCollection 2021.
With the ongoing rapid urbanization of city regions and the growing need for (cost-)effective healthcare provision, governments need to address urban challenges with smart city interventions. In this context, impact assessment plays a key role in the decision-making process of assessing cost-effectiveness of Internet of Things-based health service applications in cities, as it identifies the interventions that can obtain the best results for citizens' health and well-being. We present a new methodology to evaluate smart city projects and interventions through the MAFEIP tool, a recent online tool for cost-effectiveness analysis that has been used extensively to test information and communications technology solutions for healthy aging. Resting on the principles of Markov models, the purpose of the MAFEIP tool is to estimate the outcomes of a large variety of social and technological innovations, by providing an early assessment of the likelihood of achieving anticipated impacts through interventions of choice. Thus, the analytical model suggested in this article provides smart city projects with an evidence-based assessment to improve their efficiency and effectivity, by comparing the costs and the efforts invested, with the corresponding results.
随着城市地区持续快速的城市化进程以及对（具有成本效益的）高效医疗保健服务需求的不断增长，政府需要通过智慧城市干预措施来应对城市挑战。在此背景下，影响评估在评估基于物联网的城市健康服务应用的成本效益的决策过程中起着关键作用，因为它能确定哪些干预措施可为公民的健康和福祉带来最佳效果。我们提出了一种通过MAFEIP工具评估智慧城市项目和干预措施的新方法，MAFEIP是一种最近用于成本效益分析的在线工具，已被广泛用于测试促进健康老龄化的信息通信技术解决方案。基于马尔可夫模型的原理，MAFEIP工具的目的是通过对通过选择的干预措施实现预期影响的可能性进行早期评估，来估计各种社会和技术创新的结果。因此，本文提出的分析模型通过比较投入的成本和努力与相应的结果，为智慧城市项目提供基于证据的评估，以提高其效率和有效性。
