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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/4609
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| Title: | GIS tailored questionnaires for assisting health care management in distributing resources |
| Authors: | Herselman, M Niehaus, E Ruxwana, N D’Souza-Niehaus, N Heyne, N Platz, M Wagner, R |
| Keywords: | Geographic information system GIS tailored questionnaire GIST-Q Resource management system Decision support system Mathematical modeling Health care management Health informatics Africa HI 2010 |
| Issue Date: | Sep-2010 |
| Citation: | Herselman, M, Niehaus, E, Ruxwana, N. 2010. GIS tailored questionnaires for assisting health care management in distributing resources. Proceedings of the IASTED Conference HEALTH INFORMATICS (Africa HI 2010), Gaborone, Botswana, 6-8 September 2010, 195-202 |
| Series/Report no.: | Conference Paper |
| Abstract: | A tailored questionnaire focuses on dynamic generation of items and questions according to the location where the questionnaire is used. The approach is connected to the management of resources and the support of decision making processes which is based on collecting data for a certain geographical region. The article shows how Geographic Information Systems (GIS) can be used to tailor a questionnaire to match the risk and demands of specific areas where the questionnaire will be applied. The GIS based generation of a questionnaire is used to provide tailored information for informed decision making in health care systems. Resource Management can only be optimized if the ICT-based representation is based on tailored information according to the area in which the process of optimization should be performed. Areas with a lack of resources and with heterogeneous environmental and social conditions should get a tailored response based on tailored information, which can be provided by this type of questionnaire. The article will show how mathematical modeling can be applied to an appropriate temporal and spatial generation of questionnaires for deployment of human and medical resources according to risk and demand in rural health care. |
| Description: | Proceedings of the IASTED Conference HEALTH INFORMATICS (Africa HI 2010), Gaborone, Botswana, 6-8 September 2010 |
| URI: | http://hdl.handle.net/10204/4609 |
| Appears in Collections: | Water resources and human health Human factors Rural infrastructure and services General science, engineering & technology
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