Call for Papers
Special Issue of Information & Management:
Connecting Data, People, and Information Technology for Smart and Connected Health
Guest Editors:
Dr. Dongsong Zhang, the University of North Carolina at Charlotte, USA
Dr. Zhijun Yan, Beijing Institute of Technology, China
Dr. Gondy Leroy, the University of Arizona, USA
Dr. Nick Hardiker, University of Huddersfield, United Kingdom
Dr. Qiuju Yin, Beijing Institute of Technology, China
Manuscript Submission Deadline: October 1, 2022
The healthcare industry is being transformed and revolutionized by the latest advances in mobile computing, sensor integration, machine learning, privacy and security technologies, and modeling of cognitive and socio-behavioral processes. Smart and connected health (SCH) is one of the most important information technology applications to improve healthcare quality and outcome (Carroll, 2016; Leroy et al., 2014). The need for health awareness and continuous monitoring, self-management, and proactive assistance to patients have attracted increasing research on SCH. In the form of digital healthcare solutions or systems, SCH can operate remotely, and with integration of innovative computational and engineering approaches, it can support the transformation of health services (Bayoumy et al., 2021; Yi et al., 2019).
SCH is a young and promising field of study with broad and potentially far-reaching benefits for individual patients, healthcare professionals and services, and the general public. Compared with traditional interventions, SCH offers significant potential advantages of speeding up treatment and diagnostic processes, enabling timely detection of abnormal patterns of symptoms or outcomes, decreasing healthcare cost, and improving patient care quality and outcomes. Existing projects have designed and developed a variety of SCH solutions and investigated their effectiveness and impact, such as applications for continuous monitoring of older people (Charlon, Campo, & Brulin, 2018), methods for secure and privacy-preserving medical services in SCH (Wang, 2019), algorithms for physical activity recommendations (Vlahu-Gjorgievska et al., 2016), pathology detection based on an electroencephalogram headset and deep learning technology (Hossain & Muhammad, 2020), sustainable smart connected hospital services (Park et al., 2018), and multifunctional flexible devices with an integrated motion sensor for health care monitoring (Yamamoto et al., 2016).
Realizing the promise and potential of SCH for health improvement and the transformation of healthcare will require well-coordinated and multidisciplinary approaches that draw from social, behavioral, economic, psychological, computer science, and information systems disciplines, as well as public health, medicine, and biology. This special issue calls for state-of-the-art research on various issues and solutions that leverage smart and connected health technology or focus on the impact of SCH solutions on people, healthcare service providers, and the society as a whole. Topics of interest include, but are not limited to, the following:
• Interoperable digital infrastructures that facilitates the exchange of health data and knowledge
• Health data processing and analytics for the discovery of new insights
• Evidence-based health and wellness decision support
• Internet of Things (IoT) design for smart and connected health
• Mobile and sensor-based apps for continuous patient monitoring and self-management
• Privacy, security, and trust in SCH systems
• User-centric and personalized health services and design methods
• Connected health with telemedicine and telehealth
• Smart health and well-being
• User perceptions of and interactive behavior with SCH systems
• Artificial intelligence in healthcare
• Communication system design for connected health
• Improving patient care processes and outcomes with SCH
Submission deadline: October 1, 2022
First reviews completed: December 15, 2022
Revised paper submission due: April 1, 2023
Second review completed: June 10, 2023
Second revision due: August 15, 2023
Third review completed: September 30, 2023
Final camera ready version due: Oct. 31, 2023
The paper should be submitted through the Information & Management online submission system (https://www.editorialmanager.com/INFMAN/default.aspx). While submitting the paper, please be sure that the paper is being submitted for the special issue. In the Select Article Type list, please choose this special issue.
Bayoumy, K., Gaber, M., Elshafeey, A., Mhaimeed, O., Dineen, E. H., Marvel, F. A., . . . Elshazly, M. B. (2021). Smart wearable devices in cardiovascular care: where we are and how to move forward. Nature Reviews Cardiology, 18(8), 581-599. Retrieved from https://doi.org/10.1038/s41569-021-00522-7. doi:10.1038/s41569-021-00522-7
Carroll, N. (2016). Key Success Factors for Smart and Connected Health Software Solutions. Computer, 49(11), 22–28. doi:10.1109/mc.2016.340
Charlon, Y., Campo, E., & Brulin, D. (2018). Design and evaluation of a smart insole: Application for continuous monitoring of frail people at home. Expert Systems with Applications, 95, 57-71. doi:https://doi.org/10.1016/j.eswa.2017.11.024
Hossain, M. S., & Muhammad, G. (2020). Deep Learning Based Pathology Detection for Smart Connected Healthcare. IEEE Network, 34(6), 120-125. doi:10.1109/MNET.011.2000064
Leroy, G., Chen, H., & Rindflesch, T. C. (2014). Smart and Connected Health. IEEE Intelligent Systems, 29(3), 2-5.
Park, A., Chang, H., & Lee, K. J. (2018). How to Sustain Smart Connected Hospital Services: An Experience from a Pilot Project on IoT-Based Healthcare Services. Healthc Informatics Research, 24(4), 387-393. doi:10.4258/hir.2018.24.4.387
Vlahu-Gjorgievska, E., Koceski, S., Kulev, I., & Trajkovik, V. (2016). Connected-Health Algorithm: Development and Evaluation. Journal of Medical Systems, 40(4), 109. doi:10.1007/s10916-016-0466-9
Wang, Z. (2019). Blind Batch Encryption-Based Protocol for Secure and Privacy-Preserving Medical Services in Smart Connected Health. IEEE Internet of Things Journal, 6(6), 9555-9562. doi:10.1109/JIOT.2019.2929803
Yamamoto, Y., Harada, S., Yamamoto, D., Honda, W., Arie, T., Akita, S., & Takei, K. (2016). Printed multifunctional flexible device with an integrated motion sensor for health care monitoring. Science Advances, 2(11), e1601473.
Yi, H., Li, J., Lin, Q., Wang, H., Song, H., Ming, Z., & Nie, Z. (2019). A Rainbow-Based Authentical Scheme for Securing Smart Connected Health Systems. Journal of Medical Systems, 43(8), 276. doi:10.1007/s10916-019-1320-7
