Background: German hospitals are obliged legally to provide clinical data for external comparative quality assurance. Data rely on administrative data and just as on additional data collections for this purpose only. They are used to identify defined quality indicators (so-called BQS data). The Agency for Healthcare Research and Quality (AHRQ) also developed quality indicators that rely on hospital administrative data to evaluate the quality of inpatient care.
Methods: Six selected quality indicators were computed by both methods. 2007 data from the nationwide external quality assurance program were analyzed and compared to quality information derived from a 2007 10 % nationwide sample of administrative hospital data.
Results: Regarding the indicators "Obstetric trauma", "Mortality of community acquired pneumonia", "Postoperative deep vein thrombosis" and "Postoperative pulmonary embolism" rates are significantly higher in hospital administrative data than in BQS data (p < 0.01). Inversely, rates of the indicator "Decubitus ulcer" are significantly lower (p < 0.001).
Conclusion: Possible causes for the results might be divergent motivations for data collection or restrictions in data collection. It remains unclear which method properly reflects the true status. Selected indicators (e. g. obstetric trauma), however, are suitable to be substituted by hospital administrative data.
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http://dx.doi.org/10.1055/s-0031-1274523 | DOI Listing |
J Pain Res
January 2025
Humber River Health, Research Institute, Toronto, Canada.
Introduction: In the last decade, clinical alert systems were developed for clinical use, including patient deterioration and other urgent clinical situations. However, investigations focusing on digital pain alert systems to assess and manage pain on time in in-hospital patients are scarce. The objective of the study was to assess the implementation of digital pain alerts in the various departments of a community hospital.
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December 2025
Institute for Healthcare Artificial Intelligence Application, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510317 China.
Coronary artery disease (CAD) remains the leading cause of death globally, highlighting the critical need for accurate diagnostic tools in medical imaging. Traditional segmentation methods for coronary angiograms often struggle with vessel discontinuity and inaccuracies, impeding effective diagnosis and treatment planning. To address these challenges, we developed the Local Adaptive Segmentation Framework (LASF), enhancing the YOLOv8 architecture with dilation and erosion algorithms to improve the continuity and precision of vascular image segmentation.
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Division of General Internal Medicine, Department of Medicine, The Ottawa Hospital, Ottawa, Canada.
Introduction: Hospital strain has been shown to negatively impact physician wellness, educational experience, and patient care. To address rising service demands, a non-academic hospitalist service was implemented to reduce daily clinical teaching unit (CTU) census by approximately 30%. Secondary aims were to evaluate physician and trainee wellness on CTU as well as assess unintended adverse patient outcomes.
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Centre for Healthcare Management, Administrative Staff College of India (ASCI), Hyderabad, India.
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January 2025
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