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Ítem Modeling the adoption of identification standards in US hospitals: A systems dynamics approach(Institute of Industrial Engineers, 2011-01-01) Rardin, RonaldThis paper summarizes the findings related to the current modeling efforts of identification standards adoption using a system dynamics SD modeling approach. A literature review on technology adoption provides the basis for the decision to utilize the SD approach. The SD model builds off previous findings related to the factors affecting identification standards adoption and relates the specific elements to the adoption rate. These elements are introduced in the model using a causal loop diagram, and then a stock flow model is constructed based on the Bass diffusion model. The model is used to simulate the behavior of the hospital population over time and to observe the impact of the external and internal diffusion coefficients in the adoption rate. Initial efforts focus on the provider perspective but other healthcare supply chain members can be introduced in the model due to its flexibility. The SD model allows for the analysis and design of policies to move the adoption process forward. The preliminary findings are discussed along with the implications on subsequent modeling efforts.Ítem A levels, readiness, and impact evaluation model for GS1 adoption in healthcare(Institute of Industrial Engineers, 2011-05-21) Lehlou, NabilThe use of GS1 data standards is envisioned to improve the efficiency of healthcare supply chain, as it did for retail. Care providers willing to adopt such a strategy in some or all of their operations often need to invest in process changes and technological installations or upgrades; however, they struggle to project returns on those investments and hence, find uncertain ROI a barrier to adoption. We present a hierarchical comprehensive model that helps potential adopters of various parts of the standards (what we term levels) evaluate their readiness requirements and quantify the impacts of their potential decisions in terms of non-monetary performance measures, such as productivity. The model design is showcased through practical examples.Ítem Data standards in healthcare supply chain operations(Institute of Industrial Engineers, 2011-05-21) Dixon, DannyThis paper presents the challenges and benefits associated with adoption of healthcare supply chain data standards in a hospital environment. In a highly fragmented industry like healthcare with several stakeholders, the adoption and use of common data standards for identifying delivery locations and products is critical. Common data standards ensure system wide interoperability and visibility across the supply chain, contributing to improvements in patient safety and streamlined internal and external supply chain operations. However, the global healthcare industry has been significantly slow in adopting data standards in comparison to other industries like retail, manufacturing. We discuss the results from data standard adoption pilot project conducted by Center for Innovation in Healthcare Logistics (CIHL), University of Arkansas at Washington Regional Medical Center, a 325 bed not-for-profit hospital in Fayet-teville, Arkansas. CIHL data standards pilot involved studying the existing supply chain processes, design, pilot-test, and evaluation of GS1 data standards adoption over a sample of products and a single delivery location at the hospital. We present the results, which demonstrate the capabilities of systemwide improvements and roadblocks likely to be encountered. Findings from the pilot can be expanded to develop a broad implementation plan of data standards adoption for healthcare providers.