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Objectives: To motivate improvements in an organisational system by measuring staff perceptions of the organisation's ability to learn from incidents and by analysing their personal experience of incidents.
Methods: Respondents were questioned on the components of the incident learning system from both a personal and an organisational perspective. The respondents (n = 125) were radiotherapists, nurses, dosimetrists, doctors, and other staff at a major academic cancer centre. Responses were analysed in terms of per cent positive responses and response rate, differences between "frontline" and "support" staff, and the respondent's experience with incidents.
Results: Respondents were more familiar with and more positive about incident identification and reporting--the first two stages of incident learning. Their overall perception of incident learning was most influenced by the investigation and learning components of the system. Respondents in frontline positions were more positive than those in support positions about responding to, identifying and reporting incidents. Respondents reported having experienced a mean of three incidents per year, of which two were reported and two out of three of the reported incidents were investigated, and a median of two incidents being experienced and reported, but none investigated. Most incidents experienced were not captured by the organisation's existing incident reporting system.
Conclusion: The survey tool was effective in measuring the ability of the organisation to learn from incidents. Implications of the survey results for improving organisational learning are discussed.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2464979 | PMC |
http://dx.doi.org/10.1136/qshc.2006.018754 | DOI Listing |
Med Acupunct
August 2025
American TCM Association, Vienna, Virginia, USA.
Acupuncture, an integral part of traditional Chinese medicine, has been practiced for over 2,500 years. Dr. William Osler, a renowned physician in Canada and the United States during the late 1800s, was also an acupuncturist.
View Article and Find Full Text PDFJ Biomed Opt
September 2025
Leibniz University Hannover, Hannover Centre for Optical Technologies, Hannover, Germany.
Significance: Melanoma's rising incidence demands automatable high-throughput approaches for early detection such as total body scanners, integrated with computer-aided diagnosis. High-quality input data is necessary to improve diagnostic accuracy and reliability.
Aim: This work aims to develop a high-resolution optical skin imaging module and the software for acquiring and processing raw image data into high-resolution dermoscopic images using a focus stacking approach.
Eur J Public Health
September 2025
Data Governance, Sciensano, Brussels, Belgium.
The European Health Data Space aims to transform health data management across the EU, supporting both primary and secondary uses of health data while ensuring trust through General Data Protection Regulation compliance. As part of the HealthData@EU Pilot, this study investigates coronavirus disease 2019 (COVID-19) testing, vaccination, and hospitalization metrics across six European countries, with a focus on socioeconomic disparities and challenges in cross-border data access and standardization. This observational, retrospective cohort study used a federated analysis framework across Belgium, Croatia, Denmark, Finland, and France.
View Article and Find Full Text PDFEur J Public Health
September 2025
European Public Health Association (EUPHA), Utrecht, The Netherlands.
Cancer Med
September 2025
Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Background: Patients with clear cell renal cell carcinoma (ccRCC) often undergo organ resection, with treatment strategies based on recurrence risk. Current metastatic potential assessments rely on the WHO/ISUP grading system, which is subject to interobserver variability.
Methods: We developed an artificial intelligence (AI) model to classify cells according to contemporary grading rules and evaluated the prognostic significance of tumor cell profiles, particularly focusing on cells with prominent nucleoli.