Clinical management of cardiovascular care on the basis of big Data: Electronic medical records
Electronic medical records are a source of large amounts of information about human health. This study aimed to investigate the role of big data electronic medical records of patients with cardiovascular diseases to improve the clinical management of cardiovascular care processes. The study was carr...
Published in: | Journal of Medicinal and Chemical Sciences |
---|---|
Main Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Sami Publishing Company
|
Subjects: | |
Online Access: | https://repository.rudn.ru/records/article/record/76754/ |
id |
ftrudnuniv:oai:repository.rudn.ru:r/76754 |
---|---|
record_format |
openpolar |
spelling |
ftrudnuniv:oai:repository.rudn.ru:r/76754 2023-05-15T18:13:11+02:00 Clinical management of cardiovascular care on the basis of big Data: Electronic medical records Yurievich A.A. Viktorovna S.O. Sergeevich G.-A.R. Ivanovich K.D. Vladimirovich R.O. Mikhaylovich N.A. Ivanovna G.L. Vladimirovna F.R. https://repository.rudn.ru/records/article/record/76754/ EN eng Sami Publishing Company https://doi.org/10.26655/JMCHEMSCI.2021.4.11 https://repository.rudn.ru/records/article/record/76754/ Journal of Medicinal and Chemical Sciences Cardiovascular diseases Clinical management Electronic medical records Human health Statistical methods Article ftrudnuniv https://doi.org/10.26655/JMCHEMSCI.2021.4.11 2022-01-03T09:51:56Z Electronic medical records are a source of large amounts of information about human health. This study aimed to investigate the role of big data electronic medical records of patients with cardiovascular diseases to improve the clinical management of cardiovascular care processes. The study was carried out in 2017-2020. The subjects of the study were patients with cardiovascular diseases (n=2525) and cardiovascular surgeons of the vascular surgery department (n=6), forming big data with the help of digitalization and data analysis information system Interin ProMIS. Efficiency was assessed based on the results of analytical studies of the department's economic indicators, risks of end-cardiovascular points (myocardial infarction, stroke, death, bleeding), repeated surgeries, patients' persistence to optimal drug therapy, and implementation of doctor's recommendations. The study estimated the degree of cognitive and physical load on medical personnel in connection with the use of electronic medical turnover in terms of working hours, and economic efficiency of inpatient treatment. The observation time was 24 months. Analytical, statistical methods of research were applied. Revenues of the department increased from 64180 to 113497 thousand rubles. The incidence of endpoint cardiovascular events made 0.5% during two years of follow-up. The number of cardiovascular patients supervised by surgeons decreased to 4 patients per day against the background of electronic document management, which reduced the degree of cognitive and physical load. Big data analytics of electronic medical records contributes to the development of effective strategies for clinical management of the processes aimed at improving the health of cardiovascular patients. © 2021 by SPC (Sami Publishing Company) Article in Journal/Newspaper sami Peoples' Friendship University of Russia (RUDN): Open repository Journal of Medicinal and Chemical Sciences 4 4 |
institution |
Open Polar |
collection |
Peoples' Friendship University of Russia (RUDN): Open repository |
op_collection_id |
ftrudnuniv |
language |
English |
topic |
Cardiovascular diseases Clinical management Electronic medical records Human health Statistical methods |
spellingShingle |
Cardiovascular diseases Clinical management Electronic medical records Human health Statistical methods Yurievich A.A. Viktorovna S.O. Sergeevich G.-A.R. Ivanovich K.D. Vladimirovich R.O. Mikhaylovich N.A. Ivanovna G.L. Vladimirovna F.R. Clinical management of cardiovascular care on the basis of big Data: Electronic medical records |
topic_facet |
Cardiovascular diseases Clinical management Electronic medical records Human health Statistical methods |
description |
Electronic medical records are a source of large amounts of information about human health. This study aimed to investigate the role of big data electronic medical records of patients with cardiovascular diseases to improve the clinical management of cardiovascular care processes. The study was carried out in 2017-2020. The subjects of the study were patients with cardiovascular diseases (n=2525) and cardiovascular surgeons of the vascular surgery department (n=6), forming big data with the help of digitalization and data analysis information system Interin ProMIS. Efficiency was assessed based on the results of analytical studies of the department's economic indicators, risks of end-cardiovascular points (myocardial infarction, stroke, death, bleeding), repeated surgeries, patients' persistence to optimal drug therapy, and implementation of doctor's recommendations. The study estimated the degree of cognitive and physical load on medical personnel in connection with the use of electronic medical turnover in terms of working hours, and economic efficiency of inpatient treatment. The observation time was 24 months. Analytical, statistical methods of research were applied. Revenues of the department increased from 64180 to 113497 thousand rubles. The incidence of endpoint cardiovascular events made 0.5% during two years of follow-up. The number of cardiovascular patients supervised by surgeons decreased to 4 patients per day against the background of electronic document management, which reduced the degree of cognitive and physical load. Big data analytics of electronic medical records contributes to the development of effective strategies for clinical management of the processes aimed at improving the health of cardiovascular patients. © 2021 by SPC (Sami Publishing Company) |
format |
Article in Journal/Newspaper |
author |
Yurievich A.A. Viktorovna S.O. Sergeevich G.-A.R. Ivanovich K.D. Vladimirovich R.O. Mikhaylovich N.A. Ivanovna G.L. Vladimirovna F.R. |
author_facet |
Yurievich A.A. Viktorovna S.O. Sergeevich G.-A.R. Ivanovich K.D. Vladimirovich R.O. Mikhaylovich N.A. Ivanovna G.L. Vladimirovna F.R. |
author_sort |
Yurievich A.A. |
title |
Clinical management of cardiovascular care on the basis of big Data: Electronic medical records |
title_short |
Clinical management of cardiovascular care on the basis of big Data: Electronic medical records |
title_full |
Clinical management of cardiovascular care on the basis of big Data: Electronic medical records |
title_fullStr |
Clinical management of cardiovascular care on the basis of big Data: Electronic medical records |
title_full_unstemmed |
Clinical management of cardiovascular care on the basis of big Data: Electronic medical records |
title_sort |
clinical management of cardiovascular care on the basis of big data: electronic medical records |
publisher |
Sami Publishing Company |
url |
https://repository.rudn.ru/records/article/record/76754/ |
genre |
sami |
genre_facet |
sami |
op_source |
Journal of Medicinal and Chemical Sciences |
op_relation |
https://doi.org/10.26655/JMCHEMSCI.2021.4.11 https://repository.rudn.ru/records/article/record/76754/ |
op_doi |
https://doi.org/10.26655/JMCHEMSCI.2021.4.11 |
container_title |
Journal of Medicinal and Chemical Sciences |
container_volume |
4 |
container_issue |
4 |
_version_ |
1766185677812137984 |