Background: The continuous decrease of healthcare resources requires hospitals to improve efficiency while striving to improve quality standards that deliver better patient outcomes.
Objective: The objective of this study was to analyze whether the implementation of digital support systems during orthopedic surgery positively affected clinical processes and quality ratios.
Methods: A retrospective case-control study of 297 knee joint replacement procedures was conducted between 2015 and 2020. Thirty-five patients were allocated to the treatment and control groups after they were identified with exact matching and estimation of the propensity score. Both groups were balanced regarding the selected covariates. The effect of the surgical procedure manager (SPM) on the incidence of acute haemorrhagic anaemia between the two groups was evaluated with a t-test, and the odds ratio was calculated.
Results: SPM-supported surgery has no significant influence on the incidence of acute haemorrhagic anaemia but leads to significantly shorter hospital stay (1.93 days), changeover (4.14 minutes) and recovery room time (20.20 minutes). In addition, it reduces the standard deviation of operation room times.
Conclusions: The study concludes that SPM enhances surgical efficiency and maintains quality outcomes. To overcome their increasing financial pressure hospital management should commercially evaluate the implementation of digital support systems.
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http://dx.doi.org/10.3233/THC-220395 | DOI Listing |
BMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Department of Clinical Psychology and Psychotherapy, Institute of Psychology, University of Bern, Fabrikstrasse 8, Bern, 3012, Switzerland.
Background: Healthcare professionals play an important role in successfully implementing digital interventions in routine mental healthcare settings. While a larger body of research has focused on the experiences of mental healthcare professionals with the combination of digital interventions and face-to-face outpatient treatment, comparatively little is known about their experiences with digital interventions combined with inpatient treatment. This is especially true for acute psychiatric inpatient care, where studies on the implementation of digital interventions are more rare.
View Article and Find Full Text PDFAm J Emerg Med
December 2024
Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States; Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.
Background: Emergency medicine remains as the front line of healthcare, providing acute care to a diverse population during urgent and critical moments. Our objective was to systematically quantify the prevalence of data sharing statements (DSS) in high-impact emergency medicine journals and assess their implementation by contacting corresponding authors who indicated data available upon request.
Methods: We conducted a cross-sectional analysis to identify the prevalence and content of data sharing statements in clinical studies published in high impact emergency medicine journals between 2018 and 2023, followed by a hierarchical logistic regression analysis to identify variables impacting the incorporation of data sharing statements into emergency medicine studies.
PLoS One
December 2024
Department of Energy, Systems, Territory, and Construction Engineering, Pisa, Italy.
Technological innovation serves as the catalyst for the shift towards circular practices. Technologies not only address technical challenges, facilitating the transition to a more circular economy, but they also enhance business efficiency and profitability. Furthermore, they promote inclusivity and create job opportunities, ultimately yielding positive societal impacts.
View Article and Find Full Text PDFPLoS One
December 2024
School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
The value of 'data-enabled', digital healthcare is evolving rapidly, as demonstrated in the COVID-19 pandemic, and its successful implementation remains complex and challenging. Harmonisation (within/between healthcare systems) of infrastructure and implementation strategies has the potential to promote safe, equitable and accessible digital healthcare, but guidance for implementation is lacking. Using respiratory technologies as an example, our scoping review process will capture and review the published research between 12th December 2013 to 12th December 2023.
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