BMC Health Serv Res
November 2024
Background: In concert with other digital technologies, artificial intelligence (AI) is shaping the vision of smart hospitals. The transformation into smart hospitals, however, is all but trivial due to the lack of financial and human resources, digital skills, and supporting policies. Thus, the extent to which the vision of smart hospitals will eventually become reality is uncertain.
View Article and Find Full Text PDFBundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz
January 2024
Background: Artificial intelligence (AI) is becoming increasingly important for the future development of hospitals. To unlock the large potential of AI, job profiles of hospital staff members need to be further developed in the direction of AI and digitization skills through targeted qualification measures. This affects both medical and non-medical processes along the entire value chain in hospitals.
View Article and Find Full Text PDFObjectives: To identify key factors associated with Clostridioides difficile infections (CDIs) in healthcare at the hospital organization level.
Design: Longitudinal study covering the period 2011-2019. Hospital reports were analysed to determine the number of CDIs and several hospital-related environmental factors: financial resources (i.
Topic modeling is a popular technique for exploring large document collections. It has proven useful for this task, but its application poses a number of challenges. First, the comparison of available algorithms is anything but simple, as researchers use many different datasets and criteria for their evaluation.
View Article and Find Full Text PDFBackground: It is now widely established that health care organizations are well advised not only to identify and act upon the concerns of all patient groups but also to encourage and enable them to voice their concerns in the first place. That said, research has begun to reveal that patients differ substantially in their readiness to complain, with many deciding to remain silent even after experiencing severe adverse events. Little research has explored whether patients at the margins (e.
View Article and Find Full Text PDFObjective: To identify factors associated with methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections at the level of the hospital organization.
Data Sources: Data from all 173 acute trusts in the English National Health Service (NHS).
Study Design: A longitudinal study based on trust-level panel data for the 5-year period from April 2004 to March 2009.