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Authors: Liubov Elkhovskaya 1 ; Sergey Kovalchuk 2 ; 1 ; Ilya Potapov 2 and Dmitrii Ovchinnikov 2

Affiliations: 1 ITMO University, 49 Kronverksky Prospect, 197101 St. Petersburg, Russia ; 2 Almazov National Medical Research Centre, 2 Akkuratova Street, 197341 St. Petersburg, Russia

Keyword(s): Process Mining, Process Discovery, Clinical Pathway, COVID-19, Healthcare.

Abstract: The COVID-19 pandemic has caused significant strain on medical facilities. The race between global pandemic spread and medical practices progression produced a plethora of clinical guidelines. In Russia, more than ten official versions of such guidelines have been developed since the start of the pandemic. Thus, treatment processes have undergone several changes. Additionally, organizational schemes of patient care delivery were affected by the availability of hospital resources. In our study, we identified the characteristics of COVID-19 treatment processes at a large multidisciplinary hospital, that was adapted for treating COVID- 19 several times during disease outbreaks. For this task, we used a process mining technique. Given the peculiarities of the hospital information system, we developed an approach for analysing treatment flow. Then, we compared clinical pathways in different pandemic periods and verified compliance with the official guidelines.

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Paper citation in several formats:
Elkhovskaya, L.; Kovalchuk, S.; Potapov, I. and Ovchinnikov, D. (2022). COVID-19 Treatment Process Identification: A Case Study in Russian Hospital for Cardiology. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - COVID-ex; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 755-765. DOI: 10.5220/0010970400003123

@conference{covid-ex22,
author={Liubov Elkhovskaya. and Sergey Kovalchuk. and Ilya Potapov. and Dmitrii Ovchinnikov.},
title={COVID-19 Treatment Process Identification: A Case Study in Russian Hospital for Cardiology},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - COVID-ex},
year={2022},
pages={755-765},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010970400003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - COVID-ex
TI - COVID-19 Treatment Process Identification: A Case Study in Russian Hospital for Cardiology
SN - 978-989-758-552-4
IS - 2184-4305
AU - Elkhovskaya, L.
AU - Kovalchuk, S.
AU - Potapov, I.
AU - Ovchinnikov, D.
PY - 2022
SP - 755
EP - 765
DO - 10.5220/0010970400003123
PB - SciTePress