The use of radio frequency identification (RFID) technology is increasingly common. Its use for specific applications has been mandated by a number of major retailers, as well as by the U.S. government; however, core RFID technologies and networks lack consistent approaches to maximize the efficiency and security of RFID applications. The purpose of this research was to identify the most effective approach for deploying a context- and location-aware network, which is particularly important to the U.S. government as it will allow hands-off processing and the tracking of medical supplies and prescription drugs. Based upon RFID theory of operation, research questions focused on identifying a set of best practices as they apply to RFID deployment methods, minimizing the required number of passive and active tags, and the power requirements needed to operate the networks. The study employed a concurrent mixed methods design that triangulated themes derived from a case study of 23 published analyses of RFID deployment, from 16 independent sources with descriptive survey data of RFID deployment factors and from 32 RFID users. Specific deployment priorities from the triangulated results were ranked in order of importance; maximum read range, number of readers, tags, and antennas. Specific recommendations for next steps to help ensure maximum efficiency of RFID included use of open source middleware and improving interoperability. The results from the study will contribute to the body of knowledge in context- and location-aware networks, and will serve positive social change in the health care industry by informing new practices that will increase the security and safety of patients and staff. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]