Health Information Science and Systems - Call for Papers: Special Issue in Data Science Approaches to Innovative Aging Management and Care
Health Information Science and Systems
Special Issue in Data Science Approaches to Innovative Aging Management and Care
The unprecedented population aging has significant societal implications globally. The increased medical complexity, the prevalence of chronic diseases with comorbidities, and higher risk of medical injury of older adults lead to a growing public health burden. The digital innovations have become a driving force for healthcare development and transformation addressing the aging society. Unleashing the power of data science and artificial intelligence has a great potential to facilitate the delivery of effective and efficient healthcare services with reduced costs.
With the advances in digitization of clinical process, availability of enormous amounts of data in electronic health records and other primary and secondary healthcare information systems, there has been an increased focus on making better use of those collected data to support disease diagnosis, treatment, prevention and management tailored to individual needs. It is a promising way to develop novel data science methodologies to translate those data to actionable healthcare insights to assist clinical decision-making. Particularly, sustained data-driven interdisciplinary aging studies could have particular significance for preventive healthcare, combatting age-related decline and halting the progression of degenerative change.
Accordingly, the application of state-of-the-art data science approaches can provide effective tools for early disease detection, optimal treatment decision, behavioral health promotion, etc. New strategies and algorithms are needed to cope with large-scale, high dimensional, heterogeneous, unstructured and very complex healthcare data. Innovative applications could provide benefits to the elderly, medical professionals and society for health management and resource planning.
This specific issue aims to reflect the most recent advances covering all aspects of data science methodologies and applications for healthcare, with an emphasis on innovative aging management and care.
Topics:
Potential topics include but are not limited to following:
Data Science, Artificial Intelligence and Digital Health Clinical Decision Support Systems, Health Information Management Big Data Analytics Tools for Healthcare, Online Health Communities, Explainable Machine Learning and Knowledge-based Approaches.
Online Submission:
Please follow the hyperlink “Submit manuscript” (this opens in a new tab)and upload all of your manuscript files following the instructions given on the screen.
Please ensure you provide all relevant editable source files. Failing to submit these source files might cause unnecessary delays in the review and production process.
Guest editors:
Dr. Qingpeng Zhang, City University of Hong Kong, qingpeng.zhang@cityu.edu.hk (this opens in a new tab)
Dr. Haolin Wang, Chongqing Medical University, haolinwang@cqmu.edu.cn (this opens in a new tab)
Dr. Xiaoying Tang, Southern University of Science and Technology, tangxy@sustech.edu.cn (this opens in a new tab)
Dr. Mingyang Li, University of South Florida, mingyangli@usf.edu (this opens in a new tab)
Dr. Zoie Wong, St. Luke’s International University, zoiewong@luke.ac.jp (this opens in a new tab)
Key dates:
Deadline of submission: February 28, 2022
First round decision: May 31, 2022
Revision due: July 31, 2022
Final decision: August 15, 2022
Publication: September 1, 2022