Treatment priorities for patients with Type 2 Diabetes

No abstract available

SCAR Radiologic Technologist Survey: analysis of the impact of digital technologies on productivity.

As medical reimbursements continue to decline, increasing financial pressures are placed upon medical imaging providers. This burden is exacerbated by the existing radiologic technologist (RT) crisis, which has caused RT salaries to trend upward. One strategy to address these trends is employing technology to improve technologist productivity. While industry-wide RT productivity benchmarks have been established for film-based operation, little to date has been published in the medical literature regarding similar productivity measures for filmless operation using PACS. This study was undertaken to document the complex relationship between technologist productivity and implementation of digital radiography and digital information technologies, including PACS and hospital/radiology information systems (HIS/RIS). A nationwide survey was conducted with 112 participating institutions, in varying degrees of digital technology implementation. Technologist productivity was defined as the number of annual exams performed per technologist full-time equivalent (FTE). Productivity analyses were performed among the different demographic and technology profile groups, with a focus on general radiography, which accounts for 65-70% of imaging department volumes. When evaluating the relationship between technologist productivity and digital technology implementation, improved productivity measures were observed for institutions implementing HIS/RIS, modality worklist, and PACS. The timing of PACS implementation was found to have a significant effect on technologist productivity measures, with an initial 10.8% drop in productivity during the first year of PACS implementation, followed by a 27.8% increase in productivity beyond year one. This suggests there is a PACS learning curve phenomenon, which should be considered when institutions are planning for PACS implementation

Toward widespread use of virtual trials in medical imaging innovation and regulatory science

The rapid advancement in the field of medical imaging presents a challenge in keeping up to date with the necessary objective evaluations and optimizations for safe and effective use in clinical settings. These evaluations are traditionally done using clinical imaging trials, which while effective, pose several limitations including high costs, ethical considerations for repetitive experiments, time constraints, and lack of ground truth. To tackle these issues, virtual trials (aka in silico trials) have emerged as a promising alternative, using computational models of human subjects and imaging devices, and observer models/analysis to carry out experiments. To facilitate the widespread use of virtual trials within the medical imaging research community, a major need is to establish a common consensus framework that all can use. Based on the ongoing efforts of an AAPM Task Group (TG387), this article provides a comprehensive overview of the requirements for establishing virtual imaging trial frameworks, paving the way toward their widespread use within the medical imaging research community. These requirements include credibility, reproducibility, and accessibility. Credibility assessment involves verification, validation, uncertainty quantification, and sensitivity analysis, ensuring the accuracy and realism of computational models. A proper credibility assessment requires a clear context of use and the questions that the study is intended to objectively answer. For reproducibility and accessibility, this article highlights the need for detailed documentation, user-friendly software packages, and standard input/output formats. Challenges in data and software sharing, including proprietary data and inconsistent file formats, are discussed. Recommended solutions to enhance accessibility include containerized environments and data-sharing hubs, along with following standards such as CDISC (Clinical Data Interchange Standards Consortium). By addressing challenges associated with credibility, reproducibility, and accessibility, virtual imaging trials can be positioned as a powerful and inclusive resource, advancing medical imaging innovation and regulatory science.</p