Trends in Patient Generated Data – An Initial Review

In recent years, patient-centered care has gained significant momentum in healthcare and the patient is more involved as an active participant in data generation. In this state of the art review we identify trends in patient generated data (PGD) and areas in need of further research by reviewing papers published in the health tracks of five high-ranked IS conferences. Our results suggest that research is mostly empirically grounded and primarily focuses on sickness rather than wellness issues. There is an emphasis on chronic diseases and self-management, dealing with user motivation, and a focus mostly on mobile apps. Though technology plays an important part, there is scarce problematization of and theorization on PGD. Further studies are needed that investigate the effects of PGD on patients and healthcare providers, include a wider range of issues and incorporate wearable devices more comprehensively

Using a Key Informant Focus Group, Formative User Testing, and Theory to Guide Design of a Sleep Health BCSS

Designing effective applications is an important goal for software development researchers as well as practitioners. Researchers in the field of Persuasive Technologies have contributed significant theories intended to guide software developers. Yet due to the comprehensive nature of these theories as well as their recency, many aspects have not received much study—especially aspects that require integration of multiple theoretical perspectives. This paper applies a design science research approach to develop a sleep health app for use by college students. We use this setting to demonstrate how requirements gathered via a key informant focus group and formative user testing can be mapped to both persuasive system design and behavior change support system theories with the result of producing clear guidance for subsequent app design and assessment

Classification And Analysis Of Mobile Health Evaluation Through Taxonomy and Method Development

This manuscript documents the creation and evaluation of a taxonomy for mobile health (m-health) evaluation and a method for m-health evaluation. M-health as a field within IS has seen significant amounts of growth in recent years due to improvements in technology leading to more affordable and portable computing power. The application of these technologies to the healthcare domain has created many new opportunities and benefits for patients and providers alike. This research seeks to study how these m-health projects are being evaluated and to determine what the characteristics of these evaluations are. To accomplish this goal, the research process is conducted as design science and the research outputs of taxonomy and method are presented as design science artifacts. The two artifacts are evaluated during their creation and once more afterwards to determine their utility. The taxonomy is created by collecting and analyzing documentation on m-health evaluation and using that information to generate descriptive categories by following a series of guidelines for creating a classification system. After evaluation of the artifact, a method is created for conducting m-health evaluation. This method is a series of guidelines built upon constructs and relationships derived from the taxonomy. Evaluation of the artifacts consists of expert surveys, cluster analysis, and attribute analysis. After evaluation of both artifacts, a descriptive theory explaining the selection of m-health evaluation types is created and presented. Theory development is based on the idea of kernel theories and their transferability to the information systems (IS) and design science domains. Contributions of this research are as follows: a classification system for m-health evaluation, a series of guidelines for individuals working on evaluations in the field of m-health, and a descriptive theory on the selection of evaluation type in an m-health context