Apropiación social del conocimiento - ICUBO

URI permanente para esta colecciónhttp://hdl.handle.net/10906/78236

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Mostrando 1 - 5 de 5

Data standards in healthcare supply chain operations
(Institute of Industrial Engineers, 2011-05-21) Dixon, Danny
This 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.
Integrating supply chain data standards in healthcare operations and Electronic Health Records
(IEEE, 2015-03-03) Burbano Collazos, Angelica
Electronic Health Records (EHRs) together with supporting information systems offer myriad possibilities for system wide improvements to data access, work flow and integrated information exchange. Parallel to these developments providers must implement supply chain based data standards to their operations in order to realize system interoperability and comprehensive data integration. Supply chain data standards are universal, unique and unambiguous identifiers for products and locations. Integrating supply chain standards in provider processes, clinical workflow, and ultimately in EHRs offers an ability to track products, serves as a basis for cost and clinical effectiveness, improves patient safety and quality outcomes. In this paper, we present the significance and benefits of adopting and transacting using supply chain data standards, improvement areas within provider operations, potential advantages of integrating supply chain standards with EHRs and barriers to healthcare provider implementation.
A levels, readiness, and impact evaluation model for GS1 adoption in healthcare
(Institute of Industrial Engineers, 2011-05-21) Lehlou, Nabil
The 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.
Modeling the adoption of identification standards in US hospitals: A systems dynamics approach
(Institute of Industrial Engineers, 2011-01-01) Rardin, Ronald
This 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.
Preparing for end of service life of wind turbines
(2013-01-01) Nies, Loring F.
The wind power industry is growing rapidly. Wind turbines (WTs) are perceived as a low environmental impact energy generation technology. While the service life of a WT is relatively long (20-40 years), at some point a significant number of WTs will reach the end of their service lives. To recover maximum value from these WTs, planning for the end-of-service life of wind turbines (EOSLWTs) is paramount. Historically, environmental life cycle assessments of WTs have often only considered the materials extraction and processing, manufacturing, and use phases, leaving the management of EOSLWTs outside the scope of their attention. Four key EOSLWTs issues that are essential for the continuing development of wind energy technologies are presented: i) The challenges of managing of EOSLWTs given the fast growth rate of the industry and the large number of existing installed WTs; ii) The EOSLWT alternatives such as remanufacturing and recycling to recover functional and material value respectively; iii) The critical activities in the WT reverse supply chain such as recovery methods, logistics of transportation, quality of returns, and quality of reprocessed WTs; and iv) The economic and business issues associated with EOSLWTs. It is expected that the discussion provided will stimulate a dialog among decision makers and raise awareness of economic opportunities and unanticipated challenges in the wind power industry. © 2012 Elsevier Ltd. All rights reserved.

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