Abstract

This paper describes HealthTracker, a mobile health application to record, store, display, and analyze personal health data. This application allows an individual to log several types of data encompassing their personal health. HealthTracker serves as a model for both a recording and a recommending system. Its goal is to serve as a bridge for future personal health systems to build from. A person’s health information is displayed in an easy-to-understand manner but is also practical for medical professionals. Users should find the system useful and effective no matter if they use it simply or extensively. Currently, the system serves as a prototype for determining the practical applications for smart health systems running on mobile platforms.

Highlights

  • Victims of disease must regularly record physiological data in order to monitor their healthstatus

  • With these quantitative health records stored through HealthTracker, thesystem can estimate their risk of developing multiple chronic diseases such as cardiovascular disease (CVD) and subtypes of it as well as diabetes and fatty liver disease (FLD)

  • In a study on the use of a diary system to promote self-monitoring and health-related self- efficacy, it was stated that “The 8-week daily diary intervention was associated with improved exercise and healthy eating identity, and simultaneously improved exercise and healthyeating self-efficacy in the intervention group when compared with the control group.” (Urzi, etal., 2016)

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Summary

Introduction

Victims of disease must regularly record physiological data in order to monitor their healthstatus. The system generates charts and tables to compare data types.Microsoft HealthVault is used as a cloudbased storage solution, where a user or caretaker can monitor data remotely With these quantitative health records stored through HealthTracker, thesystem can estimate their risk of developing multiple chronic diseases such as cardiovascular disease (CVD) and subtypes of it as well as diabetes and fatty liver disease (FLD). In a study on the use of a diary system to promote self-monitoring and health-related self- efficacy, it was stated that “The 8-week daily diary intervention was associated with improved exercise and healthy eating identity, and simultaneously improved exercise and healthyeating self-efficacy in the intervention group when compared with the control group.” (Urzi, etal., 2016) These diary entries can provide usefulcomplementary information to the quantitative data types mentioned in the preceding paragraph;one who wishes to monitor their weight would likely find it favorable to record their caloricintake. Concluding the paper, we discuss our plans to further advance the vision ofHealthTracker

Related work
Requirements specification
Caregiver data analysis
Personal health information system
Assistant
Accessibility
System design
Smart device
Healthvault cloud storage
Risk assessment
Implementation
Main interface
Future work
Findings
Contributions and conclusion
Full Text
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