Cart (Loading....) | Create Account
Close category search window
 

Decision support systems for improving the analytic capacity of decentralized routine health information systems in developing countries

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Edwards, M. ; John Snow, Inc., Boston, MA, USA ; Lippeveld, T.

Routine health information systems in most third world countries are woefully inadequate to provide the information support necessary for planning and management of the health services. In most countries they are centrally planned and managed. Indicators, data collection instruments, and reporting forms usually have been designed by centrally located epidemiologists, statisticians, and administrators (called data people), with minimal involvement of lower-level line managers and providers of the health services (called action people). Decentralized routine health information systems in developing countries allow health program managers at both peripheral (district and regional) and central (national) levels to better monitor and evaluate the health programs by making available at all levels the data necessary for decision making. Since information technology became increasingly affordable for developing countries, computerization of data processing and analysis has further contributed to the availability of quality and timely data. The decision support system (DSS) is a module added to an existing routine health information system that allows decision-makers to visualize health indicators and data elements collected by the system in graphical and geographical presentations. The user, after accessing the module, chooses a series of options to determine the specific analysis desired.

Published in:

System Sciences, 2004. Proceedings of the 37th Annual Hawaii International Conference on

Date of Conference:

5-8 Jan. 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.