Skip to main content (Press Enter).
Skip auxiliary navigation (Press Enter).
Code of Conduct
Skip main navigation (Press Enter).
on this day
between these dates
Join / Renew
Quick Start Guide
My Email Preferences
My Privacy Settings
Health Care Management HCM
Back to discussions
CFP Special Issue on Digital Health - Internet Research
CFP Special Issue on Digital Health - Internet Research
Posted 02-19-2020 06:29
Edited by Roberta Bernardi 02-20-2020 10:11
---APOLOGIES FOR CROSSPOSTING---
Please consider submitting to the Special Issue on "The Bright Side and the Dark Side of Digital Health" for Internet Research. This special issue aims to serve as a forum in which healthcare, computer science, management and social science scholars can come together to discuss new emerging issues related to the bright side and the dark side of digital health. It invites submissions from a variety of methodological, theoretical, and multidisciplinary perspectives. Theoretical work that engages critically with the debate about the bright and dark sides of digital health is also welcome. In bringing technical, behavioral, clinical, and managerial perspectives together, this special issue hopes to generate new insights into the design, adoption, utilization, and management of digital health as well as an understanding of its risks and adverse consequences for individuals, organizations, and societies.
Submission deadline: 01 September 2020.
Special Issue Call for Papers from Internet Research
Zhijun Yan - School of Management and Economics, Beijing Institute of Technology, China
Roberta Bernardi - School of Economics, Finance and Management, University of Bristol, UK
Nina (Ni) Huang - W.P. Carey School of Business, Arizona State University, US
Younghoon Chang - School of Management and Economics, Beijing Institute of Technology, China
Overview of Special Issue
Digital technology has been transforming how individuals, organizations, and societies use information to improve their decision making on their daily lives and daily operations. In recent years, the healthcare industry has also actively engaged in the adoption of digital technology and enabled the formation of digital health. The digital health covers lots of advanced technologies, such as mobile health (mHealth), health information technology (HIT), wearable devices, telehealth and telemedicine, health data analytics and personalized medicine (Lupton 2018). These technologies offer new exciting opportunities to improve medical outcomes, enhance efficiency and balance health resources.
In particular, digital health can better collect, process and analyze health-related information, and provide decision support for patients, doctors, healthcare organizations, public health management and medical research (Guha and Kumar 2018). There are many positive and negative issues associated with the use of digital health by these stakeholders. On the one hand, digital health can empower patients to make better decisions about their own health and provide new options for facilitating prevention, early diagnosis, surveillance, management and prediction of chronic conditions outside traditional healthcare settings (Lin et al. 2017). Doctors can also get a more holistic view of patient health through access to data and improve quality of care (Lin et al. 2019). Pharmaceutical companies and digital health companies can also benefit from patient-generated knowledge for the advancement of medical research (Kallinikos and Tempini 2014) and the design of personalized healthcare interventions (Bernardi 2019). On the other hand, the integration of digital technology in the healthcare industry presents risks such as the spread of misinformation (e.g. anti-vax communities, Doty 2015), the disclosure of patients' privacy that could be used by health insurance companies to make discriminatory pricing (McFall and Moor 2018), increased doctors' technical anxiety and slow acceptance of digital health innovation (Bernardi and Exworthy 2019), and health inequalities due to the digital exclusion of patients (Latulippe et al. 2017; Halford and Savage 2010).
The healthcare industry is one of the largest and also one of the most important industries for citizens' wellbeing. Addressing the complexities of today's various negative and positive healthcare issues requires more than one perspective and needs more interdisciplinary collaboration and research. The rapid development of advanced technologies and methodologies such as social media, Internet of things (IoT) data analytics, machine learning, artificial intelligence (AI) brings lots of opportunities to handle the complicated problems in the healthcare industry. It makes it possible to improve people's health conditions smartly and comfortably. However, the adoption of digital technology in health care usually lags behind other industries, as some major technological and managerial obstacles still remain (Bunduchi et al. 2015). Obstacles include the lack of health data integration, data overload issues, data privacy and security, and limited or inefficient data visualization (Agarwal et al. 2010). At the same time, academics need to address the issues related to the dark side and potential risks of digital health. This special issue aims to serve as a forum in which healthcare, computer science, management and social science scholars can come together to discuss new emerging issues related to the bright side and the dark side of digital health. It invites submissions from a variety of methodological, theoretical, and multidisciplinary perspectives. Theoretical work that engages critically with the debate about the bright and dark sides of digital health is also welcome. In bringing technical, behavioral, clinical, and managerial perspectives together, this special issue hopes to generate new insights into the design, adoption, utilization, and management of digital health as well as an understanding of its risks and adverse consequences for individuals, organizations, and societies.
Topics of interest include, but are not limited to:
• Participating behavior of digital health
• Knowledge sharing and knowledge seeking of online health communities
• Knowledge discovery and decision support based on online health communities and clinical decision making systems
• Social and economic return of digital health
• Data privacy, trust and security in digital health
• Fake information and information fraud in online health communities
• Online-offline data integration and analytics
• Organizational, operational, clinical and financial implications of digital health
• Health, social and economic impact of digital health
• Big data analytics and artificial intelligence application
• Theories, models and classification frameworks that shed light on the bright side and dark side of digital health
• Methods for studying the bright side and dark side of digital health and its impact on individuals, communities (societies) and organizations
• Understanding how individuals, communities and organizations can minimize, prevent or respond to the dark side of digital health
• Understanding what motivates individuals, communities and organizations to deliberately engage in digital health
• Examining the dark side (outcomes, behaviors and practices) that accidently or unintentionally emerge in digital health
• The ethics of the dark sides of digital health (especially with recent AI developments and uses in digital health)
• Region, sector and industry-focused studies on the bright side and dark side of digital health
• Economic impact of digital health on the healthcare industry
• Submission due: 2020, September 1
• 1st round review decision: 2020, November 30
• Revised submission due: 2020, December 31
• 2nd round final review decision 2021, January 31
• Publication: 2021
to view the call and submission details.
University of Bristol
New Best Answer
This thread already has a best answer. Would you like to mark this message as the new best answer?
Copyright Academy of Management. All rights reserved.
Powered by Higher Logic