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Pharmer -- Towards Semantic Medical Prescriptions

Authors:
Ali Khalili
Bita Sedaghati

Keywords: semantic prescription, e-prescription, e-health, linked data

Abstract:
The recent proliferation of Linked Open Data that enables the integration of multiple disparate data sources brings into the spotlight a new generation of knowledge management applications. Particularly in the domain of pharmaceutical research and development, many efforts have been done to create a linked open drug data. In this paper we present the Pharmer as an approach to facilitate the creation of semantic prescriptions. Semantic prescriptions are intelligent e-prescription documents enriched by drug-related meta-data thereby know about their content and the possible interactions. In an e-health system, semantic prescriptions provide an interoperable interface which helps patients, physicians, pharmacists, researchers and companies to collaboratively improve the quality of pharmaceutical services by facilitating the process of shared decision making. Pharmer provides different views for the different personas involved in the process of e-prescribing. It employs datasets such as DBpedia, DrugBank, DailyMed and RxNorm to automatically detect the drugs in the prescription and to collect multidimensional data on them. Eventually it warns of the possible drug interactions in the prescription. We evaluate the feasibility of the Pharmer by conducting a usability evaluation and report on the quantitative and qualitative results of our survey.

Pages: 9 to 14

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-252-3

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013