Development of a First Aid Smartphone App for Use by Untrained Healthcare Workers
| Autor: | Y. Hamam, Abdel Baset Khalaf, Chel-Mari Spies |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
south africa
Computer science Internet privacy resuscitation rule-based algorithms artificial intelligence (AI) artificial intelligence (ai) lcsh:Technology South Africa Health care clinical decision support system (CDSS) lcsh:T58.5-58.64 business.industry lcsh:T lcsh:Information technology first aid irst aid clinical decision support system (cdss) smartphone app africa Africa Smartphone app emergency treatment rural healthcare m-health business First aid |
| Zdroj: | The African Journal of Information and Communication, Iss 20, Pp 31-47 (2017) The African Journal of Information and Communication, Volume: 20, Pages: 31-47, Published: 2017 |
| ISSN: | 2077-7213 2077-7205 |
| Popis: | In the sub-Saharan African context, there is an enormous shortage of healthcare workers, causing communities to experience major deficiencies in basic healthcare. The improvement of basic emergency healthcare can alleviate the lack of assistance to people in emergency situations and improve services to rural communities. The study described in this article, which took place in South Africa, was the first phase of development 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 assist untrained healthcare workers to deliver basic emergency care to patients who do not have access to, or cannot urgently get to, a medical facility. And the tool seeks to provide 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. |
| Databáze: | OpenAIRE |
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