Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management

被引:53
|
作者
Secundo, Giustina [1 ]
Shams, S. M. Riad [2 ]
Nucci, Francesco [1 ]
机构
[1] Univ Salento, Dept Innovat Engn, Lecce, Italy
[2] Northumbria Univ, Newcastle Business Sch, Newcastle Upon Tyne, Tyne & Wear, England
关键词
Collective intelligence; COVID-19; Digital technologies; Healthcare ecosystem; Internet of Things (IoT); Pandemic; BIG DATA; INNOVATION; MODELS;
D O I
10.1016/j.jbusres.2021.01.034
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Healthcare ecosystem as a collective intelligence system in which the multitude of actors can be coordinated to address the pandemic-specific management challenges. The Italian healthcare ecosystem is analyzed as scenario taking in consideration the 'genes' of the collective intelligence: What is being done?, Who is doing it?, Why are they doing it? and How is it being done?. Our analysis introduces policy implications based on a unique decision support system (DSS) to allocate a limited set of IoT devices to a larger group of patients, to balance the alternative needs to improve the conditions of the most severe patients but to maximize the efficiency of device use.
引用
收藏
页码:563 / 572
页数:10
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