Remote monitoring of patients with chronic consciousness impairment: from needs to capabilities. Cohort study
- 作者: Borisov I.1, Bondar V.2, Kanarsky M.1, Nekrasova Y.1, Pradhan P.1, Sorokina V.1, Stern M.1,3, Shpichko N.1,4
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隶属关系:
- Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology
- National Medical Research Center for Children's Health
- Institute of Higher Nervous Activity and Neurophysiology of RAS
- Peoples' Friendship University of Russia
- 期: 卷 28, 编号 2 (2022)
- 页面: 149-159
- 栏目: Original Research Articles
- URL: https://journals.rcsi.science/0869-2106/article/view/106551
- DOI: https://doi.org/10.17816/medjrf106551
- ID: 106551
如何引用文章
详细
The problem of providing rehabilitation assistance to the population has been repeatedly discussed in the global community. One of the important events in recent years was the meeting of participants in «Rehabilitation 2030: Call to Action», where the problem of increasing dissatisfaction in rehabilitation services worldwide, especially in low- and middle-income countries, was discussed. The upward trend in the need for rehabilitation activities will increase in line with global trends in demographic change associated with the aging population and an increase in the number of people living with sequellae of diseases and injuries. The prevalence of health conditions associated with severe functional limitations, of which many are caused by non-communicable diseases, increased by 9.9% and affected almost 14 million people from 2006 to 2016 in the World Health Organization European Region. Devices for monitoring vital signs can become one of the potentially important components of effective rehabilitation with an increased number of technical means of rehabilitation. The constant transfer of these parameters to the cloud storage, followed by machine learning algorithm processing, will determine the prescribed drug therapy efficiency and determine the need for timely hospitalization for a medical organization. This study aimed to assess the needs of patients with a chronic consciousness impairment, and relatives caring for them, using the possibilities of remote monitoring. The study showed that the use of hospital-replacing outpatient equipment that records the vital signs of patients opens up new opportunities for consolidating the information into a big data archive to assess the treatment efficiency and the characteristics of patient rehabilitation with the implementation of the most optimal measures to influence the rehabilitation process approach.
作者简介
Ilya Borisov
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology
Email: realzel@gmail.com
ORCID iD: 0000-0002-5707-118X
SPIN 代码: 7800-6446
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534
Valeria Bondar
National Medical Research Center for Children's Health
Email: bondva23@gmail.com
ORCID iD: 0000-0002-3244-463X
SPIN 代码: 6780-1309
Post-Graduate Student
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534Mikhail Kanarsky
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology
Email: kanarmm@yandex.ru
ORCID iD: 0000-0002-7635-1048
SPIN 代码: 1776-1160
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534
Yulia Nekrasova
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology
Email: nekrasova84@yandex.ru
ORCID iD: 0000-0002-4435-8501
SPIN 代码: 8947-4230
Cand. Sci. (Technical)
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534Pranil Pradhan
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology
Email: pranilpr@yandex.ru
ORCID iD: 0000-0002-3505-7504
SPIN 代码: 8647-4329
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534
Viktoriya Sorokina
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology
Email: vsorokina@fnkcrr.ru
ORCID iD: 0000-0002-1490-1331
SPIN 代码: 3407-1625
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534
Marina Stern
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology; Institute of Higher Nervous Activity and Neurophysiology of RAS
Email: mstern@fnkcrr.ru
ORCID iD: 0000-0002-1345-5237
MD, Cand. Sci. (Med.)
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534; MoscowNadezhda Shpichko
Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology; Peoples' Friendship University of Russia
编辑信件的主要联系方式.
Email: shpichkonp@yandex.ru
ORCID iD: 0000-0003-3289-6107
SPIN 代码: 5092-0536
俄罗斯联邦, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534; Moscow
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