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A framework for performance and data quality assessment of Radio Frequency IDentification (RFID) systems in health
Remko van der Togt1, Piet J M Bakker, Monique W M Jaspers
1Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Meibergdreef 15, Amsterdam, The Netherlands. info@medicalinformatics.eu
Objective:
RFID offers great opportunities to health care. Nevertheless, prior experiences also show that RFID systems have not been designed and tested in response to the particular needs of health care settings and might introduce new risks. The aim of this study is to present a framework that can be used to assess the performance of RFID systems particularly in health care settings.
Methods:
We developed a framework describing a systematic approach that can be used for assessing the feasibility of using an RFID technology in a particular healthcare setting; more specific for testing the impact of environmental factors on the quality of RFID generated data and vice versa. This framework is based on our own experiences with an RFID pilot implementation in an academic hospital in The Netherlands and a literature review concerning RFID test methods and current insights of RFID implementations in healthcare. The implementation of an RFID system within the blood transfusion chain inside a hospital setting was used as a show case to explain the different phases of the framework.
Results:
The framework consists of nine phases, including an implementation development plan, RFID and medical equipment interference tests, data accuracy- and data completeness tests to be run in laboratory, simulated field and real field settings.
Conclusions:
The potential risks that RFID technologies may bring to the healthcare setting should be thoroughly evaluated before they are introduced into a vital environment. The RFID performance assessment framework that we present can act as a reference model to start an RFID development, engineering, implementation and testing plan and more specific, to assess the potential risks of interference and to test the quality of the RFID generated data potentially influenced by physical objects in specific health care environments.
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