期刊名称:The African Journal of Information and Communication
印刷版ISSN:2077-7205
电子版ISSN:2077-7213
出版年度:2017
卷号:2017
期号:20
页码:31-47
DOI:10.23962/10539/23577
语种:English
出版社:University of the Witwatersrand
摘要:In the sub-Saharan African context, there is an enormous shortage of healthcareworkers, causing communities to experience major deficiencies in basic healthcare.The improvement of basic emergency healthcare can alleviate the lack of assistanceto people in emergency situations and improve services to rural communities. Thestudy described in this article, which took place in South Africa, was the first phase ofdevelopment and testing of an automated clinical decision support system (CDSS)tool for first aid. The aim of the tool, a mobile smartphone app, is that it can assistuntrained healthcare workers to deliver basic emergency care to patients who donot have access to, or cannot urgently get to, a medical facility. And the tool seeks toprovide assistance that does not require the user to have diagnostic knowledge, i.e.,the app guides the diagnostic process as well as the treatment options.
关键词:Africa; Artificial intelligence (AI); Clinical decision support system (CDSS); Emergency treatment; First aid; m-Health; Resuscitation; Rule-based algorithms; Rural healthcare; Smartphone app;South Africa