A Context Aware Mobile Application for Physical Activity Promotion

Hamper, Andreas

doi:10.1109/hicss.2015.386

Cited by 9 publications

(8 citation statements)

References 27 publications

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“…Therefore, we argue that there is a need for papers that study technologies for PGD and its use in a more thorough way and that evaluates its impact and not only design issues. There are instances where cases were followed through several years with multiple publications, such as the Norwegian case presented by [25] and [53] whom studied several aspects of the technology and followed it over time.…”

Section: Discussionmentioning

confidence: 99%

“…patients and physicians. The papers that use cognitive dissonance [20], [21] shed light on how people act to reduce their cognitive dissonance due to (not) using fitness devices while the papers that employ the health belief model [22], [23] and the fogg behavior model [24], [25] study behavioural change of users and more frequent use of technology. Theories such as task-technology fit, TAM, UTAUT are used in the papers to investigate the factors that affect the adoption decisions of the users.…”

Section: Figure 1 Type Of Papers Over the Yearsmentioning

confidence: 99%

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Trends in Patient Generated Data – An Initial Review

Imre¹,

Wass

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Figure 1 Type Of Papers Over the Yearsmentioning

confidence: 99%

Trends in Patient Generated Data – An Initial Review

Imre¹,

Wass

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Papers that used this methodology focused on testing and evaluating systems and technologies using design principles (March & Storey, 2008), which is becoming a more popular method in HIT studies due to the current widespread use of health mobile applications and wearable technologies. Some studies we reviewed developed, tested, and analyzed mobile apps for healthcare purposes (Agarwal et al, 2013;Hamper, 2015).…”

Section: Figure 4 Frequencies Of Used Methodologymentioning

confidence: 99%

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Samhan¹,

Crampton²,

Ruane³

2018

CAIS

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Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field.

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“…For instance, a physician may supply a patient with a device that provides real-time information on patient blood pressure, heart rate, temperature, or blood sugar level. Additionally mobile apps, coupled with wearable devices, are used to encourage wearers to be physically active and make healthy choices [14,23].…”

Section: Background Literaturementioning

confidence: 99%