nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

Comparison Between Two Hospitals to Study the Impact of COVID-19 on Emergency Medicine Activities

verfasst von : Emma Montella, Marta Rosaria Marino, Alessandro Giovagnoli, Giuseppe Mazia, Eliana Raiola, Giuseppe Russo, Giuseppe Ferrucci, Anna Borrelli, Maria Triassi

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Beginning in December 2019, a new epidemic, called COVID-19 has disrupted our lives. Tt started from the city of Wuhan in China to affect the whole world. This epidemic has changed the health care systems around the world, revealing their shortcomings and bringing attention to effective and efficient management of wards. In this paper, our aim is to investigate how COVID-19 pandemic affecting the Emergency Medicine ward of “San Giovanni di Dio and Ruggi d'Aragona,” also comparing the obtained outcome with respect to the same sample of Cardarelli for unveiling and analyze possible similarities and differences in procedures and suggested possible future directions.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Bicentric Study to Investigate the Impact of COVID-19 on Urological Patients

Nächstes Kapitel Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS

Liang, W., et al.: Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Lancet Oncol. 21(3), 335–337 (2020). https://doi.org/10.1016/S1470-2045(20)30096-6CrossRefPubMedPubMedCentral

World Health Organization. Coronavirus disease 2019 (COVID-19) Situation Report - 51 (2020)

World Health Organization. Coronavirus disease 2019 (COVID-19) Situation Report - 74 (2020)

Walker, P.G.T., et al.: The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science 369(6502), 413–422 (2020). https://doi.org/10.1126/science.abc0035CrossRefPubMedPubMedCentral

Ma, X., Vervoort, D., Reddy, C.L., Park, K.B., Makasa, E.: Emergency and essential surgical healthcare services during COVID-19 in low- and middle-income countries: A perspective. Int. J. Surg. (London, England) 79, 43–46 (2020). https://doi.org/10.1016/j.ijsu.2020.05.037CrossRef

Stella, F., Alexopoulos, C., Scquizzato, T., Zorzi, A.: Impact of the COVID-19 outbreak on emergency medical system missions and emergency department visits in the Venice area. Eur. J. Emerg. Med. Official J. Eur. Soc. Emerg. Med. 27(4), 298–300 (2020). https://doi.org/10.1097/MEJ.0000000000000724CrossRef

Giamello, J.D., Abram, S., Bernardi, S., Lauria, G.: The emergency department in the COVID-19 era. Who are we missing? Eur. J. Emerg. Med. 27(4), 305–306 (2020). https://doi.org/10.1097/MEJ.0000000000000718CrossRefPubMed

Zeleke, A.J., Moscato, S., Miglio, R., Chiari, L.: Length of stay analysis of COVID-19 hospitalizations using a count regression model and quantile regression: a study in bologna, Italy. Int. J. Environ. Res. Public Health 19(4), 2224 (2022). https://doi.org/10.3390/ijerph19042224CrossRefPubMedPubMedCentral

Scala, A., Trunfio, T.A., Borrelli, A., Ferrucci, G., Triassi, M., Improta, G.: Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021). Association for Computing Machinery, New York, NY, USA, pp. 68–72 (2021). https://doi.org/10.1145/3472813.3472826

10.

Converso, G., Improta, G., Mignano, M., Santillo, L.C.: A simulation approach for agile production logic implementation in a hospital emergency unit. In: Fujita, H., Guizzi, G. (eds.) SoMeT 2015. CCIS, vol. 532, pp. 623–634. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22689-7_48CrossRef

11.

Ponsiglione, A.M., Cosentino, C., Cesarelli, G., Amato, F., Romano, M.: A comprehensive review of techniques for processing and analyzing fetal heart rate signals. Sensors 21, 6136 (2021). https://doi.org/10.3390/s21186136CrossRefPubMedPubMedCentral

12.

Ponsiglione, A.M., Amato, F., Romano, M.: Multiparametric investigation of dynamics in fetal heart rate signals. Bioengineering 9, 8 (2022). https://doi.org/10.3390/bioengineering9010008CrossRef

13.

Cesarelli, M., et al.:An application of symbolic dynamics for FHRV assessment. In: MIE (2012)

14.

Cesarelli, M., et al.: Prognostic decision support using symbolic dynamics in CTG monitoring. EFMI-STC 186, 140–144 (2013)

15.

Rosa, D., Balato, G., Ciaramella, G., Soscia, E., Improta, G., Triassi, M.: Long-term clinical results and MRI changes after autologous chondrocyte implantation in the knee of young and active middle aged patients. J. Orthop. Traumatol. 17(1), 55–62 (2015). https://doi.org/10.1007/s10195-015-0383-6CrossRefPubMedPubMedCentral

16.

Santini, S., et al.:Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE (2017)

17.

Improta, G., et al.: Fuzzy logic–based clinical decision support system for the evaluation of renal function in post-transplant patients. J. Eval. Clin. Pract. 26(4), 1224–1234 (2020)CrossRefPubMed

18.

Improta, G., et al.: Analytic hierarchy process (AHP) in dynamic configuration as a tool for health technology assessment (HTA): the case of biosensing optoelectronics in oncology. Int. J. Inf. Technol. Decis. Making 18(05), 1533–1550 (2019)CrossRef

19.

Improta, G., Scala, A., Trunfio, T.A., Guizzi, G.: Application of supply chain management at drugs flow in an italian hospital district. In: Journal of Physics Conference Series, vol. 1828, no. 1 (2021). https://doi.org/10.1088/1742-6596/1828/1/012081

20.

Giovanni, I., Pasquale, N., Carmela, S.L., Triassi, M.:Health worker monitoring: Kalman-based software design for fault isolation in human breathing. In: Proceedings of EMSS (2014)

21.

Improta, G., et al.: Management of the diabetic patient in the diagnostic care pathway. In: Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 784–792. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64610-3_88CrossRef

22.

Cesarelli, G., et al.: An innovative business model for a multi-echelon supply chain inventory management pattern. In: Journal of Physics: Conference Series, vol. 1828, no. 1. IOP Publishing (2021)

23.

Trunfio, T.A., et al.: Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy. BMC Med. Inf. Decis. Making 22(1), 1–8 (2022)

24.

Improta, G., Borrelli, A., Triassi, M.: Machine learning and lean six sigma to assess how COVID-19 has changed the patient management of the complex operative unit of neurology and stroke unit: a single center study. Int. J. Environ. Res. Public Health 19(9), 5215 (2022)CrossRefPubMedPubMedCentral

25.

Scala, A., et al.: Regression models to study the total LOS related to valvuloplasty. Int. J. Environ. Res. Public Health 19(5), 3117 (2022)CrossRefPubMedPubMedCentral

26.

Trunfio, T.A., Borrelli, A., Improta, G.: Is It Possible to Predict the Length of Stay of Patients Undergoing Hip-Replacement Surgery?. Int. J. Environ. Res. Public Health 19(10), 6219 (2022)CrossRefPubMedPubMedCentral

27.

La Gatta, V., Moscato, V., Pennone, M., Postiglione, M., Sperlí, G.: Music recommendation via hypergraph embedding. IEEE Trans. Neural Netw. Learn. Syst. (2022). https://doi.org/10.1109/TNNLS.2022.3146968CrossRefPubMed

28.

Esposito, C., Moscato, V., Sperlí, G.: Trustworthiness assessment of users in social reviewing systems. IEEE Trans. Syst. Man, Cybern. Syst. 52(1), 151–165 (Jan.2022). https://doi.org/10.1109/TSMC.2020.3049082CrossRef

29.

Sperlí, G.: A deep learning based chatbot for cultural heritage. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing, pp. 935–937 (2020). https://doi.org/10.1145/3341105.3374129

30.

Ianni, M., Masciari, E., Sperlí, G.: A survey of big data dimensions vs social networks analysis. J. Intell. Inf. Syst. 57(1), 73–100 (2020). https://doi.org/10.1007/s10844-020-00629-2CrossRefPubMedPubMedCentral

31.

Sperlí, G.: A cultural heritage framework using a deep Learning based chatbot for supporting tourist journey. Expert Syst. Appl. 183, 115277 (2021). https://doi.org/10.1016/j.eswa.2021.115277CrossRef

32.

Han, Q., Molinaro, C., Picariello, A., Sperli, G., Subrahmanian, V.S., Xiong, Y.: Generating fake documents using probabilistic logic graphs. IEEE Trans. Dependable Secure Comput. 19, 2428–2441 (2021).https://doi.org/10.1109/TDSC.2021.3058994

33.

Di Girolamo, R., Esposito, C., Moscato, V., Sperlí, G.: Evolutionary game theoretical on-line event detection over tweet streams. Knowl.-Based Syst. 211, 106563 (2021). https://doi.org/10.1016/j.knosys.2020.106563CrossRef

34.

Loperto, I., de Coppi, L., Scala, A., Borrelli, A., Ferrucci, G., Triassi, M.: Use of statistical analysis and logistic regression to study the length of stay in an emergency medicine department in CoViD-19 era. In: 2021 International Symposium on Biomedical Engineering and Computational Biology, pp. 1–3 (2021). https://doi.org/10.1145/3502060.3503661

35.

Schober, P., Vetter, T.R.: Logistic regression in medical research. Anesth. Analg. 132(2), 365–366 (2021). https://doi.org/10.1213/ANE.0000000000005247CrossRefPubMedPubMedCentral

36.

Burn, E., et al.: Trends and determinants of length of stay and hospital reimbursement following knee and hip replacement: evidence from linked primary care and NHS hospital records from 1997 to 2014. BMJ Open 8(1), e019146 (2018). https://doi.org/10.1136/bmjopen-2017-019146CrossRefPubMedPubMedCentral

37.

Wachtel, G., Elalouf, A.: Addressing overcrowding in an emergency department: an approach for identifying and treating influential factors and a real-life application. Israel J. Health Policy Res. 9(1), 37 (2020). https://doi.org/10.1186/s13584-020-00390-5CrossRef

38.

Guarino, F., Improta, G., Triassi, M., Castiglione, S., Cicatelli, A.: Air quality biomonitoring through Olea europaea L.: The study case of “Land of pyres.” Chemosphere, 282, 131052 (2021). https://doi.org/10.1016/j.chemosphere.2021.131052

39.

Guarino, F., Improta, G., Triassi, M., Cicatelli, A., Castiglione, S.: Effects of zinc pollution and compost amendment on the root microbiome of a metal tolerant poplar clone. Front. Microbiol. 11, 1677 (2020). https://doi.org/10.3389/fmicb.2020.01677CrossRefPubMedPubMedCentral

40.

Guarino, F., et al.: Genetic characterization, micropropagation, and potential use for arsenic phytoremediation of Dittrichia viscosa (L.) Greuter. Ecotoxicol. Environ. Saf. 148, 675–683 (2018). https://doi.org/10.1016/j.ecoenv.2017.11.010CrossRefPubMed

41.

Guarino, F., Cicatelli, A., Brundu, G., Improta, G., Triassi, M., Castiglione, S.: The use of MSAP reveals epigenetic diversity of the invasive clonal populations of Arundo donax L. PLoS ONE 14, 1 (2019). https://doi.org/10.1371/journal.pone.0215096CrossRef

42.

De Agostini, A., et al.: Heavy metal tolerance of orchid populations growing on abandoned mine tailings: a case study in Sardinia Island (Italy). Ecotoxicol. Environ. Saf. 189, 110018 (2020). https://doi.org/10.1016/j.ecoenv.2019.110018CrossRefPubMed

43.

Moccia, E., et al.: Use of Zea mays L. in phytoremediation of trichloroethylene. Environ. Sci. Pollut. Res. 24, 11053–11060 (2017). https://doi.org/10.1007/s11356-016-7570-8CrossRef

Titel: Comparison Between Two Hospitals to Study the Impact of COVID-19 on Emergency Medicine Activities
verfasst von: Emma Montella
Marta Rosaria Marino
Alessandro Giovagnoli
Giuseppe Mazia
Eliana Raiola
Giuseppe Russo
Giuseppe Ferrucci
Anna Borrelli
Maria Triassi
Verlag: Springer International Publishing
Buch: Biomedical and Computational Biology
Print ISBN: 978-3-031-25190-0

Electronic ISBN: 978-3-031-25191-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-25191-7_31

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner