Kamel Boulos, M.N., et al.: How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomedical Engineering Online 10, 24

Faculty of Health, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK.
BioMedical Engineering OnLine (Impact Factor: 1.75). 04/2011; 10(1):24. DOI: 10.1186/1475-925X-10-24
Source: PubMed

ABSTRACT The latest generation of smartphones are increasingly viewed as handheld computers rather than as phones, due to their powerful on-board computing capability, capacious memories, large screens and open operating systems that encourage application development. This paper provides a brief state-of-the-art overview of health and healthcare smartphone apps (applications) on the market today, including emerging trends and market uptake. Platforms available today include Android, Apple iOS, RIM BlackBerry, Symbian, and Windows (Windows Mobile 6.x and the emerging Windows Phone 7 platform). The paper covers apps targeting both laypersons/patients and healthcare professionals in various scenarios, e.g., health, fitness and lifestyle education and management apps; ambient assisted living apps; continuing professional education tools; and apps for public health surveillance. Among the surveyed apps are those assisting in chronic disease management, whether as standalone apps or part of a BAN (Body Area Network) and remote server configuration. We describe in detail the development of a smartphone app within eCAALYX (Enhanced Complete Ambient Assisted Living Experiment, 2009-2012), an EU-funded project for older people with multiple chronic conditions. The eCAALYX Android smartphone app receives input from a BAN (a patient-wearable smart garment with wireless health sensors) and the GPS (Global Positioning System) location sensor in the smartphone, and communicates over the Internet with a remote server accessible by healthcare professionals who are in charge of the remote monitoring and management of the older patient with multiple chronic conditions. Finally, we briefly discuss barriers to adoption of health and healthcare smartphone apps (e.g., cost, network bandwidth and battery power efficiency, usability, privacy issues, etc.), as well as some workarounds to mitigate those barriers.

Download full-text


Available from: Maged N Kamel Boulos, Aug 21, 2015
1 Follower
  • Source
    • "us studies conducted in the United States ( Meischke et al . , 2010 ; Bradley et al . , 2011 ; Sasson et al . , 2015 ) . One possible intervention that can be considered in Singapore in order to overcome the language barriers and lack of familiarity with the local geography by non - residents may be the use of smartphone based geo - locator apps ( Boulos et al . , 2011 ) . We also observed that weather has a significant effect , possibly due to the fact that vehicles are more likely to travel at slower speeds under wet conditions than on dry roads due to safety concerns . In contrast to results from existing studies which found the effect of"
    [Show abstract] [Hide abstract]
    ABSTRACT: Time to definitive care is important for trauma outcomes, thus many emergency medical services (EMS) systems in the world adopt response times of ambulances as a key performance indicator. The objective of this study is to examine the underlying risk factors that can affect ambulance response times (ART) for trauma incidents, so as to derive interventional measures that can improve the ART. This was a retrospective study based on two years of trauma data obtained from the national EMS operations centre of Singapore. Trauma patients served by the national EMS provider over the period from 1 January 2011 till 31 December 2012 were included. ART was categorized into "Short" (<4min), "Intermediate" (4-8min) and "Long" (>8min) response times. A modelling framework which leveraged on both multinomial logistic (MNL) regression models and Bayesian networks was proposed for the identification of main and interaction effects. Amongst the process-related risk factors, weather, traffic and place of incident were found to be significant. The traffic conditions on the roads were found to have the largest effect-the odds ratio (OR) of "Long" ART in heavy traffic condition was 12.98 (95% CI: 10.66-15.79) times higher than that under light traffic conditions. In addition, the ORs of "Long ART" under "Heavy Rain" condition were significantly higher (OR 1.58, 95% CI: 1.26-1.97) than calls responded under "Fine" weather. After accounting for confounders, the ORs of "Long" ART for trauma incidents at "Home" or "Commercial" locations were also significantly higher than that for "Road" incidents. Traffic, weather and the place of incident were found to be significant in affecting the ART. The evaluation of factors affecting the ART enables the development of effective interventions for reducing the ART. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Accident; analysis and prevention 09/2015; 82. DOI:10.1016/j.aap.2015.05.007 · 1.65 Impact Factor
  • Source
    • "low-profile external sensors; Patel et al 2012) that interface directly with the smartphone already in a patient's pocket (e.g. Boulos et al 2011, Kay 2011, Free et al 2013) comes important considerations about system resources (e.g. Tarkoma et al 2014). "
    [Show abstract] [Hide abstract]
    ABSTRACT: As the literature on heart rate variability (HRV) continues to burgeon, so too do the challenges faced with comparing results across studies conducted under different recording conditions and analysis options. Two important methodological considerations are (1) what sampling frequency (SF) to use when digitizing the electrocardiogram (ECG), and (2) whether to interpolate an ECG to enhance the accuracy of R-peak detection. Although specific recommendations have been offered on both points, the evidence used to support them can be seen to possess a number of methodological limitations. The present study takes a new and careful look at how SF influences 24 widely used time- and frequency-domain measures of HRV through the use of a Monte Carlo-based analysis of false positive rates (FPRs) associated with two-sample tests on independent sets of healthy subjects. HRV values from the first sample were calculated at 1000 Hz, and HRV values from the second sample were calculated at progressively lower SFs (and either with or without R-peak interpolation). When R-peak interpolation was applied prior to HRV calculation, FPRs for all HRV measures remained very close to 0.05 (i.e. the theoretically expected value), even when the second sample had an SF well below 100 Hz. Without R-peak interpolation, all HRV measures held their expected FPR down to 125 Hz (and far lower, in the case of some measures). These results provide concrete insights into the statistical validity of comparing datasets obtained at (potentially) very different SFs; comparisons which are particularly relevant for the domains of meta-analysis and mobile health.
    Physiological Measurement 05/2015; in press(9). DOI:10.1088/0967-3334/36/9/1827 · 1.62 Impact Factor
  • Source
    • "The patients within the Norwegian population are well prepared and able to use IT [13] [14] [15], and health care workers use personal electronic devices to support their clinical work [9] [16] [17]. Hence, there is a substantial evidence in the field of health IT, on unsuccessful implementation projects [2] [3] [4]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Health Information Technology is recognized as a solution to manage health care and improve the quality of care. However, literature reports on unsuccessful implementation projects, challenges and unforeseen consequences of IT in health care. In order to define health IT system requirements, a methodology to comprehensively model health care processes is described. It is concluded that the design of health IT systems should not be done by software engineers or technical personnel in an isolated manner. It is argued for the necessity to engage with the health care sector as an empirical field, and the need for interdisciplinary teams, to tackle the idiosyncrasies of health care processes. The suggested methodology is a useful approach for supporting the definition of the IT requirements, aiming a successful implementation.
    eTELEMED 2015, The Seventh International Conference on eHealth, Telemedicine, and Social Medicine, Lisbon, Portugal; 02/2015
Show more