Aim: To compare the experience of the four UK countries in introducing nationally accessible electronic summaries of patients' key medical details, intended for use in emergency and unscheduled care episodes, and generate transferable lessons for other countries.
Method: Secondary analysis of data collected previously on all four schemes; cross-case comparison using a framework derived from diffusion of innovations theory.
Main Findings: Whilst all four programmes shared a similar vision, they differed widely in their strategy, budget, implementation plan, approach to clinical and public engagement and approach to evaluation and learning. They also differed, for various reasons, in stakeholder alignments, the nature and extent of resistance to the programme and the rate at which records were created. A nationally shared, widely accessible electronic record has powerful symbolic meaning; it may or may not be perceived as improving the quality and safety of care or (alternatively) as threatening patient confidentiality or the traditional role of the doctor or nurse. 'Hard' project management oriented to achieving specific milestones and deadlines sometimes appeared counterproductive when it cut across the 'softer' aspects of the programmes.
Conclusion: When designing and implementing complex technologies with pervasive implications, policymakers must consider not only technical issues but also the personal, social and organisational aspects of the programme. A judicious blend of 'hard' and 'soft' management appears key to managing such programmes.
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http://dx.doi.org/10.1016/j.ijmedinf.2013.01.002 | DOI Listing |
BioData Min
January 2025
Department of Applied Mathematics and Statistics, The State University of New York, Korea, Incheon, South Korea.
Background: The treatment effects are heterogenous across patients due to the differences in their microbiomes, which in turn implies that we can enhance the treatment effect by manipulating the patient's microbiome profile. Then, the coadministration of microbiome-based dietary supplements/therapeutics along with the primary treatment has been the subject of intensive investigation. However, for this, we first need to comprehend which microbes help (or prevent) the treatment to cure the patient's disease.
View Article and Find Full Text PDFJ Transl Med
January 2025
Aerospace Medical Center, Aerospace Center Hospital, Beijing, China.
Heart-on-a-chip (HoC) devices have emerged as a powerful tool for studying the human heart's intricate functions and dysfunctions in vitro. Traditional preclinical models, such as 2D cell cultures model and animal model, have limitations in accurately predicting human response to cardiovascular diseases and treatments. The HoC approach addresses these shortcomings by recapitulating the microscale anatomy, physiology, and biomechanics of the heart, thereby providing a more clinically relevant platform for drug testing, disease modeling, and personalized therapy.
View Article and Find Full Text PDFThe Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, 78249, USA.
The inherently stochastic nature of radiation emissions makes modeling background radiation structure a particularly challenging research area. In source identification scenarios, which are critical to nuclear security, the complexity of background radiation modeling is intensified by dynamically changing factors that influence radiation measurements. Consequently, accurately modeling and estimating background radiation can significantly improve our nuclear security capabilities by enhancing the detection of anomalies within radiation data.
View Article and Find Full Text PDFSci Rep
January 2025
Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid's stability, flexibility, and dispatchability. This paper presents a dual-pronged, innovative approach to maximize income in the day-ahead power market through VPP.
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