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

被引:69
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
相关论文
共 61 条
[1]   Review of research studies on population specific epidemic disasters [J].
Adivar, Burcu ;
Selen, Ebru Selin .
DISASTER PREVENTION AND MANAGEMENT, 2013, 22 (03) :243-264
[2]   Consumer Acceptance of Internet of Things (IoT): Smart Home Context [J].
Aldossari, Mobark Q. ;
Sidorova, Anna .
JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2020, 60 (06) :507-517
[3]   On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management [J].
Allam, Zaheer ;
Jones, David S. .
HEALTHCARE, 2020, 8 (01)
[4]  
[Anonymous], 2017, Digital Transformation Monitor
[5]  
Bardhan I., 2020, MIS Quarterly, V44, P185, DOI [10.25300/MISQ/2020/14644, DOI 10.25300/MISQ/2020/14644]
[6]   Telemedicine and the COVID-19 Pandemic, Lessons for the Future [J].
Bashshur, Rashid ;
Doarn, Charles R. ;
Frenk, Julio M. ;
Kvedar, Joseph C. ;
Woolliscroft, James O. .
TELEMEDICINE AND E-HEALTH, 2020, 26 (05) :571-573
[7]  
Bessant J., 2012, Opening up healthcare innovation: Innovation solutions for a 21st century healthcare system
[8]  
Boder A., 2006, Journal of Knowledge Management, V10, P81, DOI 10.1108/13673270610650120
[9]  
Brown M., 2020, COVID 19 ORG SURVIVA
[10]   Big Data for Open Digital Innovation - A Research Roadmap [J].
Brunswicker, Sabine ;
Bertino, Elisa ;
Matei, Sorin .
BIG DATA RESEARCH, 2015, 2 (02) :53-58