A Decision support framework for public healthcare: An approach to follow-up support service
Document Type
Conference Proceeding
Source of Publication
Proceedings of the 28th Australasian Conference on Information Systems, ACIS 2017
Publication Date
1-1-2017
Abstract
© ACIS 2017. Healthcare service systems require care follow-up procedures using clinical practice guidelines targeting specific patient groups. Studies have introduced various methods for providing patient care, but system design for follow-up support remains limited to a few specific types of disease management. A general need is identified in a climate of increased demand on fewer doctors, for which mobile systems can provide solutions. In this paper, we present a post-treatment follow-up Decision Support framework for use by patients and physicians. The proposed care support is cloud-based and offers online and asynchronous Patient-Physician interaction, with a ratings system designed to ensure continuing improvement in outcomes. Using a design science research process the solution framework has been prototyped and evaluated with representative physicians and users. Our framework provides a model for extending care service systems to inform better follow-up decision-making.
Publisher
Formal Power Series and Algebraic Combinatorics
Disciplines
Computer Sciences | Medicine and Health Sciences
Keywords
Clinical Decision Support, Doctor Ratings, Follow-Up Care, Healthcare Systems, M-Health
Scopus ID
Recommended Citation
Miah, Shah Jahan; Gammack, John G.; Hasan, Rashadul; and Hasan, Najmul, "A Decision support framework for public healthcare: An approach to follow-up support service" (2017). All Works. 83.
https://zuscholars.zu.ac.ae/works/83
Indexed in Scopus
yes
Open Access
no