Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Computerized decision support system"'
Autor:
Tristan Delory, Josselin Le Bel, Raphaëlle Métras, Caroline Guerrisi, Ilona E. Suhanda, Elisabeth Bouvet, Sylvie Lariven, Pauline Jeanmougin
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 11, Pp 2404-2408 (2024)
We show the value of real-time data generated by a computerized decision support system in primary care in strengthening pneumonia surveillance. The system showed a 66% (95% CI 64%–67%) increase in community-acquired pneumonia from 2018 to 2023 for
Externí odkaz:
https://doaj.org/article/b701e96fc6d546509d37fe7d17102115
Akademický článek
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Publikováno v:
BMC Public Health, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background Electronic clinical decision algorithms (eCDAs) that guide clinicians during patient management are being deployed in resource-limited settings to improve the quality of care and rational use of medicines (especially antimicrobial
Externí odkaz:
https://doaj.org/article/fecc20e230fb4361afcc4b22159b7fae
Akademický článek
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Akademický článek
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Autor:
Attilia Maria Pizzini, Daniela Galimberti, Stefano De Pietri, Mauro Silingardi, Maria Cristina Leone, Annamaria Ferrari, Ido Iori
Publikováno v:
Italian Journal of Medicine, Vol 10, Iss 1, Pp 4-9 (2016)
The diagnostic pathway of pulmonary embolism, both in the Emergency Department and in the Medical Unit, is not a standardized one. Pulmonary embolism, often but not always complicating surgery, malignancies, different medical diseases, sometimes but
Externí odkaz:
https://doaj.org/article/b7413ad4bf15447e8940d45e115a1c44
Autor:
Hana Alharthi, Adel Youssef
Publikováno v:
Saudi Journal of Medicine and Medical Sciences, Vol 2, Iss 3, Pp 190-196 (2014)
Objectives: To determine the effectiveness of a clinical decision support system (CDSS) as indicated by a lower proportion of receiving contraindicated medications by patients with severe chronic kidney disease (CKD) compared with patients with less
Externí odkaz:
https://doaj.org/article/543899e5dff94167aac4d6604f56912a
Autor:
Tsopra, Rosy, Fernandez, Xose, Luchinat, Claudio, Alberghina, Lilia, Lehrach, Hans, Vanoni, Marco, Dreher, Felix, Sezerman, O Ugur, Cuggia, Marc, de Tayrac, Marie, Miklasevics, Edvins, Itu, Lucian Mihai, Geanta, Marius, Ogilvie, Lesley, Godey, Florence, Boldisor, Cristian Nicolae, Campillo-Gimenez, Boris, Cioroboiu, Cosmina, Ciusdel, Costin Florian, Coman, Simona, Hijano Cubelos, Oliver, Itu, Alina, Lange, Bodo, Le Gallo, Matthieu, Lespagnol, Alexandra, Mauri, Giancarlo, Soykam, H Okan, Rance, Bastien, Turano, Paola, Tenori, Leonardo, Vignoli, Alessia, Wierling, Christoph, Benhabiles, Nora, Burgun, Anita, Sezerman, O.Ugur, Soykam, H.Okan
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, 2021, 21 (1), pp.274. ⟨10.1186/s12911-021-01634-3⟩
BMC Medical Informatics and Decision Making, BioMed Central, 2021, 21 (1), pp.274. ⟨10.1186/s12911-021-01634-3⟩
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-14 (2021)
BMC Medical Informatics and Decision Making, 2021, 21 (1), pp.274. ⟨10.1186/s12911-021-01634-3⟩
BMC Medical Informatics and Decision Making, BioMed Central, 2021, 21 (1), pp.274. ⟨10.1186/s12911-021-01634-3⟩
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-14 (2021)
International audience; Abstract Background Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::f4a6da8cf5ab6041fe4d94cfca693431
https://www.hal.inserm.fr/inserm-03373629/file/s12911-021-01634-3.pdf
https://www.hal.inserm.fr/inserm-03373629/file/s12911-021-01634-3.pdf
Akademický článek
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Autor:
Gaud Catho, Nicolo S. Centemero, Brigitte Waldispühl Suter, Nathalie Vernaz, Javier Portela, Serge Da Silva, Roberta Valotti, Valentina Coray, Francesco Pagnamenta, Alice Ranzani, Marie-Françoise Piuz, Luigia Elzi, Rodolphe Meyer, Enos Bernasconi, Benedikt D. Huttner, The COMPASS Study Group
Publikováno v:
Frontiers in Digital Health
Frontiers in Digital Health, Vol 2 (2021)
Frontiers in Digital Health, Vol 2 (2021)
Background: Computerized decision support systems (CDSS) provide new opportunities for automating antimicrobial stewardship (AMS) interventions and integrating them in routine healthcare. CDSS are recommended as part of AMS programs by international
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d83245d564858e877ea7bf872b5d91
https://doi.org/10.3389/fdgth.2020.583390
https://doi.org/10.3389/fdgth.2020.583390