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SmartPrescription: A principled approach towards eliminating prescription errors in Healthcare

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dc.contributor.author Paul, Okanda
dc.contributor.author Kanyaru, J
dc.date.accessioned 2015-10-09T17:26:46Z
dc.date.available 2015-10-09T17:26:46Z
dc.date.issued 2014
dc.identifier.citation Paul Okanda, John Kanyaru, “SmartPrescription: A principled approach towards eliminating prescription errors in Healthcare”, (accepted to be presented at) IST-Africa 2104 Conference, Port Louis, Mauritius, May 6th – 9th, 2014. en_US
dc.identifier.uri http://erepo.usiu.ac.ke/11732/1332
dc.description.abstract While it might deceptively appear that the major issues in medication concern medicine prescription calculations and the subtleness of conversions between measuring units, research in healthcare shows that the key issues relate to the context in which medication is prescribed. For instance, calculation of dose for the elderly is particularly sensitive especially in cases of repeat prescriptions whereby monitoring is crucial to avoid misuse. Initial (UK-based) primary research among four primary care surgeries and interviews with paediatricians indicated the lack of custom functions within existing information systems in a way that exploits knowledge about drugs, past prescriptions and patients' medical history. This paper presents the research we carried out towards addressing these issues. In particular, the paper presents a prototype software system developed that illustrates the efficacy of addressing medicine calculation issues where contextual information about drug, illness, and patient history are used to reliably inform the prescription process. en_US
dc.title SmartPrescription: A principled approach towards eliminating prescription errors in Healthcare en_US
dc.type Article en_US


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