The emerging field of mobile health

Mobile technologies can transform clinical research and health care worldwide—and save money. The surge in computing power and mobile connectivity have fashioned a foundation for mobile health (mHealth) technologies that can transform the mode and quality of clinical research and health care on a global scale. Unimpeded by geographical boundaries, smartphone-linked wearable sensors, point-of-need diagnostic devices, and medical-grade imaging, all built around real-time data streams and supported by automated clinical decision–support tools, will enable care and enhance our understanding of physiological variability. However, the path to mHealth incorporation into clinical care is fraught with challenges. We currently lack high-quality evidence that supports the adoption of many new technologies and have financial, regulatory, and security hurdles to overcome. Fortunately, sweeping efforts are under way to establish the true capabilities and value of the evolving mHealth field.

[1]  Audie A Atienza,et al.  Mobile health technology evaluation: the mHealth evidence workshop. , 2013, American journal of preventive medicine.

[2]  Yumei Hu,et al.  Construction of near-infrared photonic crystal glucose-sensing materials for ratiometric sensing of glucose in tears. , 2013, Biosensors & bioelectronics.

[3]  Stephen A. Boppart,et al.  Point-of-care and point-of-procedure optical imaging technologies for primary care and global health , 2014, Science Translational Medicine.

[4]  B. Wansink,et al.  Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study , 2014, Journal of medical Internet research.

[5]  Gregory Z. Grudic,et al.  Body-worn, non-invasive sensor for monitoring stroke volume, cardiac output and cardiovascular reserve , 2011, Wireless Health.

[6]  Mingxiao Li,et al.  Noninvasive detection of lung cancer using exhaled breath , 2013, Cancer medicine.

[7]  Mobile Health and Fitness Apps: What Are the Privacy Risks? , 2017 .

[8]  J. Vestbo,et al.  [Telehealthcare for chronic obstructive pulmonary disease]. , 2012, Ugeskrift for laeger.

[9]  A. Haines,et al.  The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review , 2013, PLoS medicine.

[10]  J W Dallinga,et al.  Breath analysis as a potential diagnostic tool for tuberculosis. , 2012, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[11]  Monika Janda,et al.  Enhanced skin self-examination: a novel approach to skin cancer monitoring and follow-up. , 2013, JAMA dermatology.

[12]  E. Topol,et al.  Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring. , 2014, The American journal of medicine.

[13]  A. Haines,et al.  The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis , 2013, PLoS medicine.

[14]  Y. K. Cheung,et al.  1 Supplementary Information for : Microfluidics-based diagnostics of infectious diseases in the developing world , 2011 .

[15]  C. Pollak,et al.  The role of actigraphy in the study of sleep and circadian rhythms. , 2003, Sleep.

[16]  Erdogan Gulari,et al.  Gene-Z: a device for point of care genetic testing using a smartphone. , 2012, Lab on a chip.

[17]  Rosalind W. Picard,et al.  A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity , 2010, IEEE Transactions on Biomedical Engineering.

[18]  Vikram Sheel Kumar,et al.  Picturing cervical cancer. , 2014, Clinical chemistry.

[19]  R. Silverman,et al.  Mobile health applications: the patchwork of legal and liability issues suggests strategies to improve oversight. , 2014, Health affairs.

[20]  M. O'Kane,et al.  Efficacy of self monitoring of blood glucose in patients with newly diagnosed type 2 diabetes (ESMON study): randomised controlled trial , 2008, BMJ : British Medical Journal.

[21]  D. Beebe,et al.  The present and future role of microfluidics in biomedical research , 2014, Nature.

[22]  Allison Gates,et al.  Evaluating User Perceptions of Mobile Medication Management Applications With Older Adults: A Usability Study , 2014, JMIR mHealth and uHealth.

[23]  Stirling Bryan,et al.  Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. , 2014, JAMA.