Radio Frequency Identification Technology: Applications, Technical Challenges and Strategies

Purpose - The purpose of this paper is to discuss the technology behind RFID systems, identify the applications of RFID in various industries, and discuss the technical challenges of RFID implementation and the corresponding strategies to overcome those challenges. Design/methodology/approach - Comprehensive literature review and integration of the findings from literature. Findings - Technical challenges of RFID implementation include tag cost, standards, tag and reader selection, data management, systems integration and security. The corresponding solution is suggested for each challenge. Research limitations/implications - A survey type research is needed to validate the results. Practical implications - This research offers useful technical guidance for companies which plan to implement RFID and we expect it to provide the motivation for much future research in this area. Originality/value - As the infancy of RFID applications, few researches have existed to address the technical issues of RFID implementation. Our research filled this gap

Applications of aerospace technology in the public sector

Current activities of the program to accelerate specific applications of space related technology in major public sector problem areas are summarized for the period 1 June 1971 through 30 November 1971. An overview of NASA technology, technology applications, and supporting activities are presented. Specific technology applications in biomedicine are reported including cancer detection, treatment and research; cardiovascular diseases, diagnosis, and treatment; medical instrumentation; kidney function disorders, treatment, and research; and rehabilitation medicine

Technology applications

A summary of NASA Technology Utilization programs for the period of 1 December 1971 through 31 May 1972 is presented. An abbreviated description of the overall Technology Utilization Applications Program is provided as a background for the specific applications examples. Subjects discussed are in the broad headings of: (1) cancer, (2) cardiovascular disease, (2) medical instrumentation, (4) urinary system disorders, (5) rehabilitation medicine, (6) air and water pollution, (7) housing and urban construction, (8) fire safety, (9) law enforcement and criminalistics, (10) transportation, and (11) mine safety

Advanced sensors technology survey

This project assesses the state-of-the-art in advanced or 'smart' sensors technology for NASA Life Sciences research applications with an emphasis on those sensors with potential applications on the space station freedom (SSF). The objectives are: (1) to conduct literature reviews on relevant advanced sensor technology; (2) to interview various scientists and engineers in industry, academia, and government who are knowledgeable on this topic; (3) to provide viewpoints and opinions regarding the potential applications of this technology on the SSF; and (4) to provide summary charts of relevant technologies and centers where these technologies are being developed

Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People

This paper aims to contribute to the field of ambient intelligence from the perspective of real environments, where noise levels in datasets are significant, by showing how machine learning techniques can contribute to the knowledge creation, by promoting software sensors. The created knowledge can be actionable to develop features helping to deal with problems related to minimally labelled datasets. A case study is presented and analysed, looking to infer high-level rules, which can help to anticipate abnormal activities, and potential benefits of the integration of these technologies are discussed in this context. The contribution also aims to analyse the usage of the models for the transfer of knowledge when different sensors with different settings contribute to the noise levels. Finally, based on the authors’ experience, a framework proposal for creating valuable and aggregated knowledge is depicted.This research was partially funded by Fundación Tecnalia Research & Innovation, and J.O.-M. also wants to recognise the support obtained from the EU RFCS program through project number 793505 ‘4.0 Lean system integrating workers and processes (WISEST)’ and from the grant PRX18/00036 given by the Spanish Secretaría de Estado de Universidades, Investigación, Desarrollo e Innovación del Ministerio de Ciencia, Innovación y Universidades

Health Technology Scenarios and Implications for Spectrum

Supporting Informatio

Clinical Information Systems: Their Application in the ICU

journal articleBiomedical Informatic

N.C. Medicaid Reform: A Bipartisan Path Forward

The North Carolina Medicaid program currently constitutes 32% of the state budget and provides insurance coverage to 18% of the state’s population. At the same time, 13% of North Carolinians remain uninsured, and even among the insured, significant health disparities persist across income, geography, education, and race. The Duke University Bass Connections Medicaid Reform project gathered to consider how North Carolina could use its limited Medicaid dollars more effectively to reduce the incidence of poor health, improve access to healthcare, and reduce budgetary pressures on the state’s taxpayers. This report is submitted to North Carolina’s policymakers and citizens. It assesses the current Medicaid landscape in North Carolina, and it offers recommendations to North Carolina policymakers concerning: (1) the construction of Medicaid Managed Care markets, (2) the potential and dangers of instituting consumer-driven financial incentives in Medicaid benefits, (3) special hotspotting strategies to address the needs and escalating costs of Medicaid\u27s high-utilizers and dual-eligibles, (4) the emerging benefits of pursuing telemedicine and associated reforms to reimbursement, regulation, and Graduate Medical Education programs that could fuel telemedicine solutions to improve access and delivery. The NC Medicaid Reform Advisory Team includes: Deanna Befus, Duke School of Nursing, PhD ‘17Madhulika Vulimiri, Duke Sanford School of Public Policy, MPP ‘18Patrick O’Shea, UNC School of Medicine/Fuqua School of Business, MD/MBA \u2717Shanna Rifkin, Duke Law School, JD ‘17Trey Sinyard, Duke School of Medicine/Fuqua School of Business, MD/MBA \u2717Brandon Yan, Duke Public Policy, BA \u2718Brooke Bekoff, UNC Political Science, BA \u2719Graeme Peterson, Duke Public Policy, BA ‘17Haley Hedrick, Duke Psychology, BS ‘19Jackie Lin, Duke Biology, BS \u2718Kushal Kadakia, Duke Biology and Public Policy, BS ‘19Leah Yao, Duke Psychology, BS ‘19Shivani Shah, Duke Biology and Public Policy, BS ‘18Sonia Hernandez, Duke Economics, BS \u2719Riley Herrmann, Duke Public Policy, BA \u271

An ethnographic study of knowledge sharing across the boundaries between care processes, services and organisations: the contributions to ‘safe’ hospital discharge

Background Hospital discharge is a vulnerable stage in the patient pathway. Research highlights communication failures and the problems of co-ordination as resulting in delayed, poorly timed and unsafe discharges. The complexity of hospital discharge exemplifies the threats to patient safety found ‘between’ care processes and organisations. In developing this perspective, safe discharge is seen as relying upon enhanced knowledge sharing and collaboration between stakeholders, which can mitigate system complexity and promote safety. Aim To identify interventions and practices that support knowledge sharing and collaboration in the processes of discharge planning and care transition. Setting The study was undertaken between 2011 and 2013 in two English health-care systems, each comprising an acute health-care provider, community and primary care providers, local authority social services and social care agencies. The study sites were selected to reflect known variations in local population demographics as well as in the size and composition of the care systems. The study compared the experiences of stroke and hip fracture patients as exemplars of acute care with complex discharge pathways. Design The study involved in-depth ethnographic research in the two sites. This combined (a) over 180 hours of observations of discharge processes and knowledge-sharing activities in various care settings; (b) focused ‘patient tracking’ to trace and understand discharge activities across the entire patient journey; and (c) qualitative interviews with 169 individuals working in health, social and voluntary care sectors. Findings The study reinforces the view of hospital discharge as a complex system involving dynamic and multidirectional patterns of knowledge sharing between multiple groups. The study shows that discharge planning and care transitions develop through a series of linked ‘situations’ or opportunities for knowledge sharing. It also shows variations in these situations, in terms of the range of actors, forms of knowledge shared, and media and resources used, and the wider culture and organisation of discharge. The study also describes the threats to patient safety associated with hospital discharge, as perceived by participants and stakeholders. These related to falls, medicines, infection, clinical procedures, equipment, timing and scheduling of discharge, and communication. Each of these identified risks are analysed and explained with reference to the observed patterns of knowledge sharing to elaborate how variations in knowledge sharing can hinder or promote safe discharge. Conclusions The study supports the view of hospital discharge as a complex system involving tightly coupled and interdependent patterns of interaction between multiple health and social care agencies. Knowledge sharing can help to mitigate system complexity through supporting collaboration and co-ordination. The study suggests four areas of change that might enhance knowledge sharing, reduce system complexity and promote safety. First, knowledge brokers in the form of discharge co-ordinators can facilitate knowledge sharing and co-ordination; second, colocation and functional proximity of stakeholders can support knowledge sharing and mutual appreciation and alignment of divergent practices; third, local cultures should prioritise and value collaboration; and finally, organisational resources, procedures and leadership should be aligned to fostering knowledge sharing and collaborative working. These learning points provide insight for future interventions to enhance discharge planning and care transition. Future research might consider the implementation of interviews to mediate system complexity through fostering enhanced knowledge sharing across occupational and organisational boundaries. Research might also consider in more detail the underlying complexity of both health and social care systems and how opportunities for knowledge sharing might be engendered to promote patient safety in other areas