Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS

Wearable healthcare: Lessons from the past and a peek into the future

Improving Performance in Diabetes Care: Benefits of Information Technology Enabled Diabetes Management.

The prevalence of diabetes is rising globally. Diabetes patients need continuous monitoring, and to achieve this objective, they have to be engaged in their healthcare management process. Mobile health (MH) is an information and communications technology trend to empower chronically ill patients in a smart environment. Discussing the current state of MH technologies is required in order to address their limitations. Existing review articles have evaluated the MH literature based on applicability and level of adoption by patients and healthcare providers. Most of these reviews asserted that MH apps and research have not reached a stable level yet. To the best of our knowledge, there is no clear description of solutions to these problems. In addition, no one has investigated and analyzed MH in its contextual environment in a detailed way. We conducted a comprehensive survey of MH research on diabetes management articles published between 2011 and September 27, 2017. In this survey, we discuss current challenges in MH, along with research gaps, opportunities, and trends. Our literature review searched three academic databases (ScienceDirect, IEEE Xplore, and SpringerLink). A total of 60 articles were analyzed, with 30% from ScienceDirect, 38% from IEEE Xplore, and 32% from SpringerLink. MH was analyzed in the context of the electronic health record (EHR) ecosystem. We consider dimensions such as clinical decision support systems, EHRs, cloud computing, semantic interoperability, wireless body area networks, and big data analytics. We propose specific metrics to analyze and evaluate MH from each of these dimensions. A comprehensive analysis of the literature from this viewpoint is valuable for both theoretical and developmental progress. This paper provides a critical analysis of challenges that have not been fully met and highlights directions for future research that could improve MH applicability.

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Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges

An extension of technology acceptance model for mHealth user adoption

Health information technologies for patients with diabetes

Clinical simulations are designed to increase communication and experience among all members of the healthcare team in a low stakes environment. In this study we investigate the current application of in-situ simulation for training and educational purposes at the University of Virginia Health System. One factor we examined includes the impact of the level of fidelity of the simulator on clinician experience. We also looked at the ability to document the situation and if generational differences exist among participants that determine their engagement. We examined types of data collection and examine what data might be useful to collect to determine if simulation improves patient outcomes. We interviewed several facilitators of this approach to divine its applicability to staff education and the potential impact on patient safety. We discovered several key themes including: levels of fidelity, generational differences in acceptance of simulation, difficulties in documentation in the scenario, improvement in communication and the difficulties in quantifying success. Implications included that the level of fidelity is less important than ensuring that the level of fidelity used is matched to the educational objectives and that the scenario created be supported and realistic. https://doi.org/10.34105/j.kmel.2015.07.028

Heather Davis

Papers

Health information technologies for patients with diabetes

Taking the show on the road: In-situ clinical simulations’ role in promoting teamwork