DocumentCode :
168490
Title :
A scalable mHealth system for noncommunicable disease management
Author :
Clifford, G.D. ; Arteta, C. ; Zhu, T. ; Pimentel, Maf ; Santos, M. ; Domingos, J. ; Maraci, M. ; Behar, J. ; Oster, J.
Author_Institution :
Depts. of Biomed. Inf. & Biomed. Eng., Emory Univ., Atlanta, GA, USA
fYear :
2014
fDate :
10-13 Oct. 2014
Firstpage :
41
Lastpage :
48
Abstract :
Barriers to effective screening and management of NCDs in resource-constrained regions include limited availability of trained personnel, access to affordable automatic medical devices, and longitudinal clinical data. We present an end-to-end mHealth system which takes advantage of the almost universal availability of smartphones in order to address these barriers in a scalable and affordable manner. Our system includes simple, low-cost ($5-$20) and open-source peripherals that allow a minimally trained person to collect high-quality medical data at the point-of-care through a standard smartphone; allows the reliable transmission of clinical data even in the case of high-latency network connections; stores data in a cloud-based system, making patient records accessible anywhere; and enables both crowdsourced diagnostics and generation of annotated data for the research and development of automatic decision support and risk assessment systems. We show examples of the different elements of the system tailored for the management of cardiovascular disease and chronic obstructive pulmonary disease, which includes prototypes of the low-cost peripherals. In a validation study (of 40 volunteers), our smartphone-based blood pressure (BP) monitor was shown to measure BP, heart rate and respiration rate with a mean-absolute-error of less than 5 units from the reference values for 80% of the measurements.
Keywords :
cardiovascular system; cloud computing; decision support systems; diseases; graphical user interfaces; medical information systems; mobile computing; public domain software; risk management; smart phones; NCD management; NCD screening; annotated data generation; automatic decision support; automatic medical device access; cardiovascular disease management; chronic obstructive pulmonary disease management; clinical data transmission; cloud-based system; crowdsourced diagnostics; data storage; end-to-end m-health system; heart rate; high-latency network connections; high-quality medical data collection; limited-trained personnel availability; longitudinal clinical data; low-cost open-source peripherals; mean-absolute-error; minimally trained person; noncommunicable disease management; patient records; reference values; resource-constrained regions; respiration rate; risk assessment systems; scalable m-health system; smart phone-based BP monitor; smart phone-based blood pressure monitor; Computational modeling; Heating; Sociology; Statistics; Non-Communicable Diseases; mHealth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Humanitarian Technology Conference (GHTC), 2014 IEEE
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/GHTC.2014.6970259
Filename :
6970259
Link To Document :
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