Phillip Azar and Adarsh Mani and Quan Peng and Jochem Van Gaalen

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2015-83

May 13, 2015

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-83.pdf

In 2013, of 26 billion dollars spent on patient readmissions in Medicare, an estimated 17 billion of this was generated by readmissions caused by avoidable factors. The most preventable of these factors - and arguably the most severe - are improper administration of therapy and medication. To combat this, we are developing a lean, smartphone-based telemedical system that not only provides personal health statistics to the patient, but relays this information to the doctor allowing for a more tailored approach to medicine. By leveraging the latest open source health monitoring algorithms and libraries, we have created a reliable, low-cost and easily implementable solution that has the potential to simultaneously improve patient care and dramatically reduce healthcare expenditure.

Advisors: Ruzena Bajcsy

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BibTeX citation:

@mastersthesis{Azar:EECS-2015-83,
    Author= {Azar, Phillip and Mani, Adarsh and Peng, Quan and Van Gaalen, Jochem},
    Editor= {Aranki, Daniel},
    Title= {Expanded Telehealth Platform for Android},
    School= {EECS Department, University of California, Berkeley},
    Year= {2015},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-83.html},
    Number= {UCB/EECS-2015-83},
    Abstract= {In 2013, of 26 billion dollars spent on patient readmissions in Medicare, an estimated 17 billion of this was generated by readmissions caused by avoidable factors. The most preventable of these factors - and arguably the most severe - are improper administration of therapy and medication. To combat this, we  are  developing a lean, smartphone-based telemedical system that not only provides personal health statistics to the patient, but relays this information to the doctor allowing for a more tailored approach to medicine. By leveraging the latest open source health monitoring algorithms and libraries, we have created a reliable, low-cost and easily implementable solution that has the potential to simultaneously improve patient care and dramatically reduce healthcare expenditure.},
}

EndNote citation:

%0 Thesis
%A Azar, Phillip 
%A Mani, Adarsh 
%A Peng, Quan 
%A Van Gaalen, Jochem 
%E Aranki, Daniel 
%T Expanded Telehealth Platform for Android
%I EECS Department, University of California, Berkeley
%D 2015
%8 May 13
%@ UCB/EECS-2015-83
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-83.html
%F Azar:EECS-2015-83