Mobile Healthcare Design Research: A Special Issue for Information Systems Researchers

Special Section Editorial - Mobile Decision Support and Analytics for Healthcare: Citizen, Organization, Governmental and Technological Perspective

A Data Analytics Study for Adverse Reactions of Blood Donors by Age, Gender, and Donation Type

The blood donation process is usually very safe, and blood donors are comfortable during the blood donation procedure; however, blood donors occasionally experience various types of adverse reactions during or at the end of blood donation. Some of these reactions are very minor while blood donors sometimes experience serious reactions as well. This study aims to analyze the various types of adverse reactions experienced by the blood donors. The study conducts detailed analysis on a significant amount of real data collected through a blood organization in the southern part of the United States and provides the results regarding the frequency and types of adverse reactions based on multiple attributes such as age, gender, and donation type

Interplaying user roles in e-government design : a participatory good governance perspective

The interplaying roles among the user groups must be adequately-mapped to fulfil the design needs of Egovernment applications. In previous studies, the design of citizen-centric e-government and its theoretical understanding is still limited in relation to the requirement of engaging malleable features for supporting all relevant users&rsquo; roles in governing bodies. Operationalising IS theories to improve the design of e-government application has been a much sought-after objective. Yet, there is a lack of actionable guidance on how to develop e-government application that exhibits high levels of users&rsquo; engagement through malleable features. Under a participatory good governance perspective, the paper reports a qualitative study and identifies requirement of malleable provisions to support the interplaying roles among users in a case demonstration of extensional service delivery in government. While service content describes the features available on an e-government application for assisting user groups in completing their support services.<br /

Design science research for decision support systems development: recent publication trends in the premier IS journals

This paper presents a contemporary literature review of design science research (DSR) studies in the domain of decision support systems (DSS) development. The latest studies in the DSS design domain claim that DSR methodologies are the most popular design approach, but many details are still yet to be revealed for supporting this claim. In particular, it is important to thoroughly investigate the trends in either the form or deeper insights in use of DSR in this field. The aim of this study is to analyse the existing DSS design science studies to reveal insights into the use of DSR, so that we can outline research agenda for a special issue, based on findings of analysis. We selected articles (from 2005 to 2014) that were published in seven selected premier IS journals (ranked as A* in the ABDC journal ranking). The selected 57 sample articles are representative of DSS design studies that used DSR in theorising, designing, implementing, and evaluating DSS solutions. We discuss the theoretical positions of DSR for DSS development through six categories: DSS artefacts, DSR methods, DSR views, user involvement, DSS design innovations and problem domains. The findings indicate that new studies are needed to fill the knowledge gap in DSS design science, for more solid theoretical basis in near future

Ensemble artifact design for context sensitive decision support

Although an improvement of design knowledge is an essential goal of design research, current design research predominantly focuses on knowledge concerning the IT artifact (tool) design process, rather than a more holistic understanding encompassing the dynamic usage contexts of a technological artifact. Conceptualising a design in context as an ensemble artifact (Sein et al., 2011) provides the basis for a more rigorous treatment. This paper describes an IS artifact design framework that has been generated from the development of several practitioner-oriented decision support systems (DSS) in which contextual aspects relevant to practitioners\u27 decision making are considered as integral design themes. We describe five key dimensions of an ensemble artifact design and show their value in designing practitioner-oriented DSS. The features are user centredness, knowledge sharing, situation-specific customisation, reduced model orientation, and practice based secondary design abilities. It is argued that this understanding can contribute to design research knowledge more effectively both to develop dynamic DSS, and by its extensibility to other artifact designs

Internet of Things Adoption for Saudi Healthcare Services

Background: Recent studies in information systems have predicted that applications of the Internet of Things (IoT) innovations will revolutionise various sectors including healthcare. Besides the issues and opportunities of IoT based innovations, existing studies have shown limitations to advance the adoption of IoT-understanding and relevant interventions to benefit researchers and healthcare practitioners. Method: In this context, a systematic literature review study was conducted to re-position a qualitative, phenomenological investigation that could offer useful insights into the factors affecting IoT-adoption in a developing country’s healthcare service. In addition to it, five participants who worked in hospitals and clinics in Jazan, Saudi Arabia, took part in the semi-structured interviews developed based on the diffusion of innovation theory. Results: The study explored the relevant literature and evaluated how the outcome is used to identify the key delivers of IoT in healthcare. Conclusions: According to the findings, the capacity of the Saudi healthcare sector to accept and implement a new IT with IoT technologies is increasing and its integrations remains a debated issue

Meta-design Knowledge for Clinical Decision Support Systems

Knowledge gained from a Decision Support Systems (DSS) design should ideally be reusable by DSS designers and researchers. The majority of existing DSS research has mainly focused on empirical problem solving rather than on developing principles that could inform solution approaches for other user contexts. Design Science Research (DSR) has contributed to effective development of various innovative DSS artifacts and associated knowledge development, but there has been limited progress on new knowledge development from a practical problem context, going beyond product and process descriptions. For DSS applications such as Clinical Decision Support Systems (CDSS) design and development, relevant reusable prescriptive knowledge is of significance not only to understand mutability but also to extend application of theory across domains. In this paper, we develop new design knowledge abstracted from the approach taken in a representative case of innovative CDSS development, specified as an architecture and six design principles. The CDSS design artifact was initially designed for a specific clinical need is shown to be flexible for meeting demands of knowledge production both for diagnosis and treatment. It is argued that the proposed general strategy is applicable to designing CDSS artifacts in similar problem domains representing an important contribution of design knowledge both in DSS and DSR fields

On-Cloud Motherhood Clinic: A Healthcare Management Solution for Rural Communities in Developing Countries

Background: Modern telecommunication infrastructure enables bridging of the digital divide between rural and urban healthcare services, promoting the provision of suitable medical care and support. Thus far, there has been some positive impacts to applying mobile health (m-Health) solutions, but their full potential in relation to cloud computing has is yet to be realised. It is imperative to develop an innovative approach for addressing the digital divide in a context of developing country. Method: Adopting a design science research approach (DSR), this study describes an innovative m-Health solution utilising cloud computing that enables healthcare professionals and women in rural areas to achieve comprehensive maternal healthcare support. We developed the solution framework through iterative prototyping with stakeholders’ participation, and evaluated the design using focus groups. Results: The cloud-based solution was positively evaluated as supporting healthcare professionals and service providers. It was perceived to help provide a virtual presence for evaluating and diagnosing expectant mothers’ critical healthcare data, medical history, and in providing necessary service support in a virtual clinic environment. Conclusions: The new application offers benefits to target stakeholders enabling a new practice-based paradigm applicable in other healthcare management. We demonstrated utilities to address target problems as well as the mechanism propositions for meeting the information exchange demand for better realisation of practical needs of the end users. Available at: https://aisel.aisnet.org/pajais/vol12/iss1/3

A Metadesign Theory for Tailorable Decision Support

Despite years of decision support systems (DSS) research, DSS artifacts are frequently criticized for lacking practitioner relevance and for neglecting configurability and contextual dynamism. Tailoring in end-user contexts can produce relevant emergent DSS artifacts, but design theory for this is lacking. Design science research (DSR) has important implications for improving DSS uptake, but generally this has not been promoted in the form of metadesigns with design principles applicable to other DSS developments. This paper describes a metadesign theory for tailorable DSS, generated through action design research studies in different primary industries. Design knowledge from a DSS developed in an agricultural domain was distilled and generalized into a design theory comprising: (1) a general solution concept (metadesign), and (2) five hypothesized design principles. These were then instantiated via a second development in which the metadesign and design principles were applied in a different domain (forestry) to produce a successful DSS, thus testing the metadesign and validating the design principles. In addition to contributing to DSR and illustrating innovation in tailorable technology, the paper demonstrates the utility of action design research to support theory development in DSS design

End User as Application Developer for Decision Support

This paper discusses a new generation end-user centred information service view, for developing decision support applications. The tailorable solution allows specific applications to be designed by end-users, where integrity is assured by the architecture’s control in knowledge-based systems. In the development approach, the end-users at different level engage in interaction for secondary application creation. This initiative reinforces a shift from the traditional IS development process to a new provision where end-users can actively participate for a secondary application design. A secondary application design can be seen as a secondary activity for tailoring applications by the end users so that it fits within their context. However, the achievable boundaries of the architecture and the interplaying roles of end-users for the secondary design are still emergent and increasingly of interest to researchers. This paper describes a process by which \u27end-users-as-designers\u27 engage in the secondary design or redesign processes of decision support applications in a rural industry context