[AISWorld] CFP - The Bright Side and the Dark Side of Digital Health, Internet Research (SSCI, JCR Q1)

[Young Hoon Chang]

> 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 at bit.edu.cn
> Roberta Bernardi - University of Bristol, UK,
> roberta.bernardi at bristol.ac.uk
> Nina (Ni) Huang - Arizona State University, US, nhuang6 at asu.edu
> Younghoon Chang - Beijing Institute of Technology, China,
> younghoonchang at 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
>