ABSTRACT
OBJECTIVE: The objective of this paper is to present crucial factors among registered doctors and pharmacists for acceptance of the Austrian 'e-Medikation' system which is aimed at providing, on a national level, complete and recent information on all the medication that were prescribed or dispensed to a patient. METHODS: As the accompanying formative evaluation study of the pilot project showed different overall acceptance rates among participating physicians and pharmacists, a decision tree analysis of 30 standardized survey items was performed to identify crucial acceptance factors. RESULTS: For the physicians' group, only two items (fear of improper data use and satisfaction with software support) were crucial for overall e-Medikation acceptance. The analysis of the pharmacists' data resulted in five crucial factors primarily focusing on functional aspects and the perceived benefits of e-Medikation. CONCLUSION: The results indicate that the acceptance among physicians and pharmacists depends on quite different factors. This must be taken into account during the planned rollout of e-Medikation or of comparable products.
Subject(s)
Health Knowledge, Attitudes, Practice , Medical Order Entry Systems/statistics & numerical data , Pharmacists/psychology , Physicians/psychology , Austria , Pilot Projects , Surveys and QuestionnairesABSTRACT
OBJECTIVES: The goal of this article is to examine whether W3C XML Schema provides a practicable solution for the semantic validation of standard-based electronic health record (EHR) documents. With semantic validation we mean that the EHR documents are checked for conformance with the underlying archetypes and reference model. METHODS: We describe an approach that allows XML Schemas to be derived from archetypes based on a specific naming convention. The archetype constraints are augmented with additional components of the reference model within the XML Schema representation. A copy of the EHR document that is transformed according to the before-mentioned naming convention is used for the actual validation against the XML Schema. RESULTS: We tested our approach by semantically validating EHR documents conformant to three different ISO/EN 13606 archetypes respective to three sections of the CDA implementation guide "Continuity of Care Document (CCD)" and an implementation guide for diabetes therapy data. We further developed a tool to automate the different steps of our semantic validation approach. CONCLUSIONS: For two particular kinds of archetype prescriptions, individual transformations are required for the corresponding EHR documents. Otherwise, a fully generic validation is possible. In general, we consider W3C XML Schema as a practicable solution for the semantic validation of standard-based EHR documents.