Imaging is an important cost driver in health care, and its use grew rapidly in the early 2000s. Several studies toward the end of the decade suggested that a leveling off was beginning to occur. In this study we examined more recent data to determine whether the slowdown had continued. Our data sources were the nationwide Medicare Part B databases for the period 2001-14. We calculated utilization rates per 1,000 enrollees for all advanced imaging modalities. We also calculated professional component relative value unit (RVU) rates per 1,000 beneficiaries for all imaging modalities, as RVU values provide a measure of complexity of imaging services and may in some ways be a better reflection of the amount of work involved in imaging. We found that utilization rates and RVU rates grew substantially until 2008 and 2009, respectively, and then began to drop. The downward trend in both rates persisted through 2014. Federal policies appear to have achieved the desired effect of ending the rapid growth of imaging that had been seen in earlier years.
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http://dx.doi.org/10.1377/hlthaff.2016.0836 | DOI Listing |
Microbiology (Reading)
January 2025
Instituto de Microbiologa, Colegio de Ciencias Biolgicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador.
Antimicrobial resistance (AMR) is a major threat to global public health that continues to grow owing to selective pressure caused by the use and overuse of antimicrobial drugs. Resistance spread by plasmids is of special concern, as they can mediate a wide distribution of AMR genes, including those encoding extended-spectrum -lactamases (ESBLs). The CTX-M family of ESBLs has rapidly spread worldwide, playing a large role in the declining effectiveness of third-generation cephalosporins.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Introduction: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.
View Article and Find Full Text PDFHeliyon
January 2025
School of Chemical and Bio Engineering, Addis Ababa Institute of Technology, Addis Ababa University, King George VI St, Addis Ababa, Ethiopia.
Rapid population growth and economic development in Ethiopia have led to increased solid waste generation due to heightened consumption and a throwaway mentality. This has resulted in overcrowding, informal settlements, poor waste management, public health concerns, and environmental issues. Collecting accurate data on solid waste generation and composition in Ethiopia is challenging because of its limited scope and inconsistencies across the country.
View Article and Find Full Text PDFCureus
December 2024
Department of Microbiology, Krishna Institute of Medical Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Background The emergence of treatment-resistant species has highlighted the importance of antifungal susceptibility testing as it is difficult to determine therapeutics solely based on species identification. However, as compared to bacterial pathogens, antimicrobial susceptibility testing in fungi still remains underutilized in most clinical diagnostic microbiological services. The disc diffusion (DD) technique is reported to be easy and cost-effective and therefore can be easily incorporated as a routine method.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Faculty of Natural and Applied Sciences, Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa.
The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become a key player in transforming the digital music streaming industry, particularly in enhancing user experiences and driving subscription growth. Through AI automation, platforms personalize music recommendations, optimize subscription offerings, and improve customer support services.
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