Author:
Mazzola L.,Bonacina S.,Tarquini P.,Donzelli P.,Pinciroli F.,Marceglia S.
Abstract
SummaryBackground: Even though ePrescribing systems are now available in many healthcare systems and have been a crucial milestone of the roadmaps towards eHealth in the last years, there is still a large heterogeneity among functionalities and performances of different systems.Objective: In this paper, we propose an updated comprehensive model for the ePre-scribing process able to represent, analyze, and compare current systems and to support the design of new, more general, systems suitable also to sustain the ePrescription process in National Healthcare Systems.Methods: After a preliminary literature review, we identified six main phases of the ePrescribing process, namely Assign, Transmit, Dispense, Administer, Monitor, and Analysis & Decision. Each phase produces a digital object characterized by formal properties that ensure the collection of appropriate data and information and works as input for the next one. The impact, in terms of benefits, of ePrescribing on governance, drug sur -veillance, and quality of care at the individual, territorial, and governmental levels are related to the formal properties of the digital objects created at the end of each phase.Results and Conclusions: The model-based implementation of each phase has an impact on the quality of care, the access to care, and the effectiveness of care delivery. The model does not cover cost evaluation, but the benefits identified can be used as basis for cost-benefit or cost-effectiveness analysis of heterogeneous systems.
Subject
Health Information Management,Advanced and Specialised Nursing,Health Informatics
Reference64 articles.
1. Electronic Prescribing: Toward Maximum Value and Rapid Adoption: Recommendations for Optimal Design and Implementation to Improve Care, Increase Efficiency and Reduce Costs in Ambulatory Care (eRx Report). A Report of the Electronic Prescribing Initiative. Washington, DC: eHealth Initiative; April 14, 2004
2. Dobrev A, Jones T, Stroetmann K, Vatter Y, Peng K. The socio-economic impact of interoperable electronic health record (EHR) and ePrescribing systems in Europe and beyond. European Commission Information Society and Media; 2009
3. Electronic prescribing in the ambulatory care setting
4. Hale P, editor. Electronic Prescribing for the Medical Practice: Everything You Wanted to Know but Were Afraid to Ask. Chicago, IL: HIMSS; 2007
5. Clinical Decision Support and Electronic Prescribing Systems
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