Background: Accurate planning of operating times in surgical clinics is essential. Moreover, high-capacity utilization of operating rooms (ORs) is necessary for economic efficiency.
Objective: Most planning of operating times is performed by surgeons. Herein, surgeons' estimated times and the objective times for performing surgical procedures were compared to detect sources of error.
Materials And Methods: In a retrospective analysis, the durations of 1809 operations using general anesthesia (22 types of surgery) by 31 surgeons (12 specialists and 19 residents) were compared. Comparisons were analyzed by Mann-Whitney U‑tests.
Results: The comparison of objective times of surgical action showed significant differences between specialists and residents in 6 of 15 types of surgeries. The post-processing times estimated by specialists deviated from the objective times in 2 out of 22 surgery types, while the post-processing times estimated by residents deviated in 7 of 15 types. Specialists misjudged the incision-to-suture times in 7 of 22 surgery types, and residents misjudged these times in 3 of 15 types. The preparation times estimated by specialists deviated from the objective times in 16 of 22 types of surgeries and in 7 of 15 types estimated by residents.
Conclusion: A surgeon's routine must be carefully considered in order to estimate operating times. Specialists generally underestimated preparation and post-processing times and overestimated incision-to-suture times, whereas residents underestimated all three. Preparation and post-processing times must be considered in planning and, ideally, determined together with anesthesiologists and surgical assistants.
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http://dx.doi.org/10.1007/s00106-021-01119-9 | DOI Listing |
JMIR Form Res
January 2025
Northwestern Medicine, Chicago, IL, United States.
Background: Patient recruitment and data management are laborious, resource-intensive aspects of clinical research that often dictate whether the successful completion of studies is possible. Technological advances present opportunities for streamlining these processes, thus improving completion rates for clinical research studies.
Objective: This paper aims to demonstrate how technological adjuncts can enhance clinical research processes via automation and digital integration.
JMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
ACS Appl Bio Mater
January 2025
Physics Department, Federal University of Viçosa, Viçosa, Minas Gerais 36570-900, Brazil.
This study investigates the functionalization of gold-coated magnetoelastic sensors with thionine molecules, focusing on resonance frequency shifts. The functionalization process was characterized by using Raman spectroscopy and analyzed via scanning electron microscopy and atomic force microscopy, revealing the progressive formation of molecular clusters over time. Our results demonstrate that longer functionalization time leads to saturation of surface coverage and cluster formation, impacting the sensor's resonance frequency shifts.
View Article and Find Full Text PDFSoft Matter
January 2025
Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.
In this work, a theoretical approach is developed to investigate the structural properties of ionic microgels induced by a circularly polarized (CP) electric field. Following a similar study on chain formation in the presence of linearly polarized fields [T. Colla , , 2018, , 4321-4337], we propose an effective potential between microgels which incorporates the field-induced interactions a static, time averaged polarizing charge at the particle surface.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
We introduce an approach for analyzing the responses of dynamical systems to external perturbations that combines score-based generative modeling with the generalized fluctuation-dissipation theorem. The methodology enables accurate estimation of system responses, including those with non-Gaussian statistics. We numerically validate our approach using time-series data from three different stochastic partial differential equations of increasing complexity: an Ornstein-Uhlenbeck process with spatially correlated noise, a modified stochastic Allen-Cahn equation, and the 2D Navier-Stokes equations.
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