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Author Sunyaev, Ali ♦ Chornyi, Dmitry
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Data quality ♦ Chronic disease management ♦ Health management system ♦ Personal health records
Abstract Chronic medical conditions take a huge toll on lives of a growing number of people and are a major contributor to the rising costs in healthcare. As patients are increasingly willing to take an active part in managing their conditions, chronic disease self-management programs and information systems that support them are recognized for their potential to improve the quality of healthcare delivery. These programs often rely on recording longitudinal patient data and analyzing it. Therefore, maintaining appropriate data quality is important for self-management programs to be efficient and safe. We designed and implemented a prototype of a health self-management service for chronically ill people. It is a distributed application that supports patients with diabetes at tracking their blood glucose levels. The main design goals were usability, extensibility, security, and interoperability. The system integrates with the Microsoft HealthVault and Google Health personal health record platforms. It utilizes industry-strength storage and security mechanisms, is scalable, and as a result, can be used to gather, securely store, and analyze patient data over long periods of time. In this article we examine how software information technology can support chronic disease self-management and its impact on the quality of patient data. Furthermore, we describe the requirements that drove the system's development, its architecture, and design decisions.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-05-01
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 3
Issue Number 2
Page Count 21
Starting Page 1
Ending Page 21


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Source: ACM Digital Library