A mobile phone based tool to identify symptoms of common childhood diseases in Ghana: development and evaluation of the integrated clinical algorithm in a cross-sectional study

A mobile phone based tool to identify symptoms of common childhood diseases in Ghana: development and evaluation of the integrated clinical algorithm in a cross-sectional study

Abstract Background The aim of this study was the development and evaluation of an algorithm-based diagnosis-tool, applicable on mobile phones, to support guardians in providing appropriate care to sick children. Methods The algorithm was developed on the basis of the Integrated Management of Childh...

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Bibliographic Details
Main Authors: Konstantin H. Franke, Ralf Krumkamp, Aliyu Mohammed, Nimako Sarpong, Ellis Owusu-Dabo, Johanna Brinkel, Julius N. Fobil, Axel Bonacic Marinovic, Philip Asihene, Mark Boots, Jürgen May, Benno Kreuels
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
mHealth
Algorithm
Symptom assessment
Decision making, computer assisted
Interactive voice response
Africa
Online Access:http://link.springer.com/article/10.1186/s12911-018-0600-3

Internet

http://link.springer.com/article/10.1186/s12911-018-0600-3

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