Actually, in many medical organizations there is an inexpedient structure of labor costs of medical workers, in many respects associated with large time spent on making up medical documentation. The very important aspect is proper formulation of clinical diagnosis and its coding according to the International Classification of Diseases of the 10th revision that in most cases is performed in tradition mode (so called manual coding). The article presents results of functional and cost analysis of application of automated system of coding support in various departments of the Medical Sanitary Unit of of the Ministry of Internal Affairs of Russia at the Moscow Oblast. The study established significant difference in time spent and cost of coding process before and after implementation of automated system. The automated coding of diagnosis permits to reduce six-fold time and cost of coding process, as well as up to 12.6% reduce number of coding errors. The results of functional and cost analysis serve as an objective justification of economic expediency of implementing automated system of diagnosis coding support in multidisciplinary hospital.
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http://dx.doi.org/10.32687/0869-866X-2022-30-1-123-128 | DOI Listing |
J Forensic Sci
January 2025
LIMA, Instituto de Química, Universidade de Brasília-UnB, Brasília, Brazil.
Fingermarks are important forensic evidence for identifying people. In this work, luminescent MOF [Eu(BDC)(HO)] (herein referred as EuBDC) was tested as a potential latent fingermark (LF) luminescent developer powder and its acute toxicity evaluated following OECD protocol 423. The results showed that the powder can develop groomed LF on materials such as leather, plastic, metal, glass, cardboard, and aluminum.
View Article and Find Full Text PDFACS EST Air
January 2025
Lyles School of Civil & Construction Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Commercial HVAC systems intended to mitigate indoor air pollution are operated based on standards that exclude aerosols with smaller diameters, such as ultrafine particles (UFPs, D ≤ 100 nm), which dominate a large proportion of indoor and outdoor number-based particle size distributions. UFPs generated from occupant activities or infiltrating from the outdoors can be recirculated and accumulate indoors when they are not successfully filtered by an air handling unit. Monitoring UFPs in real occupied environments is vital to understanding these source and mitigation dynamics, but capturing their rapid transience across multiple locations can be challenging due to high-cost instrumentation.
View Article and Find Full Text PDFInt J Telemed Appl
January 2025
Medical Familiar Unit, Instituto de Seguridad y Servicios Sociales de Los Trabajadores del Estado, Torreón, Coahuila, Mexico.
This study proposes an automated system for assessing lung damage severity in coronavirus disease 2019 (COVID-19) patients using computed tomography (CT) images. These preprocessed CT images identify the extent of pulmonary parenchyma (PP) and ground-glass opacity and pulmonary infiltrates (GGO-PIs). Two types of images-saliency () image and discrete cosine transform (DCT) energy image-were generated from these images.
View Article and Find Full Text PDFHealthc Technol Lett
January 2025
This study aimed to develop an advanced ensemble approach for automated classification of mental health disorders in social media posts. The research question was: can an ensemble of fine-tuned transformer models (XLNet, RoBERTa, and ELECTRA) with Bayesian hyperparameter optimization improve the accuracy of mental health disorder classification in social media text. Three transformer models (XLNet, RoBERTa, and ELECTRA) were fine-tuned on a dataset of social media posts labelled with 15 distinct mental health disorders.
View Article and Find Full Text PDFHeliyon
July 2024
College of Engineering and IT, University of Dubai, Academic City, 14143, Dubai, United Arab Emirates.
This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise. A modified Extreme Learning Machine is then used to diagnose brain tumors that are integrated with the Modified Sailfish optimizer to enhance its performance. The Modified Sailfish optimizer is a metaheuristic algorithm known for efficiently navigating optimization landscapes and enhancing convergence speed.
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