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Internet Research
Call for Papers
The Bright Side and the Dark Side of Digital Health
（
https://www.emeraldgrouppublishing.com/products/journals/call_for_papers.htm?id=8907
）
Submission due: September 1, 2020
Guest Editors
Zhijun Yan - Beijing Institute of Technology, China,
yanzhijun@bit.edu.cn
Roberta Bernardi - University of Bristol, UK,
roberta.bernardi@bristol.ac.uk
Nina (Ni) Huang - Arizona State University, US,
nhuang6@asu.edu
Younghoon Chang - Beijing Institute of Technology, China,
younghoonchang@bit.edu.cn
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
• The effects of digital health on epidemic or pandemic outbreaks
Important dates
• Submission due: September 1, 2020
• 1st round review decision: November 30, 2020
• Revised submission due: December 31, 2020
• 2nd round final review decision: January 31, 2021
• Publication: 2021
Special Event – DHA 2020
The guest-editors organize a conference “2nd International
Conference on
Digital Health and Medical Analysis” in Beijing Institute of
Technology on
1-2 July 2020 (
https://www.dha2020.org/). Potential authors are
encouraged
to present their papers in this conference, which provides a good
opportunity to receive constructive feedback and suggestions for
this
special issue.
Submission Details
Internet Research is an international, refereed journal and listed
by
Social Science Citation Index (SSCI) and Science Citation Index
Expanded
(SCIE) (IF 4.109 in 2018). To view the author guidelines for this
journal,
please visit:
https://www.emeraldgrouppublishing.com/products/journals/author_guidelines.htm?id=intr
Please submit your manuscript via our review website:
https://mc.manuscriptcentral.com/intr
Editorial Review Board
Spyros Angelopoulos - Tilburg University, Netherlands
Petros Chamakiotis - ESCP Business School (Madrid), Spain
Ben Choi - Nanyang Technological University, Singapore
Qianzhou Du - Nanjing University, China
Juyeon Ham - Beijing Institute of Technology, China
Kevin Yili Hong - Arizona State University, USA
Liqiang Huang - Zhejiang University, China
Yi-cheng Ku - Fu Jen Catholic University, Taiwan
One-Ki Daniel Lee - University of Massachusetts Boston, USA
Weizi Li - University of Reading, UK
Christian Libaque-Saenz - Universidad del Pacífico, Peru
Benjamin Marent - University of Sussex, UK
Yang Pan - Louisiana State University, USA
Jae Hyun Park - Kyoto Institute of Technology, Japan.
Dimitra Petrakaki - University of Sussex, UK
Niccolò Tempini - University of Exeter, UK
Yichuan Wang - University of Sheffield, UK
Siew Fan Wong - Sunway University, Malaysia
Jiayin Zhang - Tsinghua University, China
Minhao Zhang - University of Bristol, UK
Xiaofei Zhang - Nankai University, China
Kang Zhao - University of Iowa, USA
Yuxiang Zhao - Nanjing University of Science & Technology,
China
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