Remote monitoring of patients with chronic consciousness impairment: from needs to capabilities. Cohort study

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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, 141534

Mikhail 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, 141534

Pranil 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; Moscow

Nadezhda 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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补充文件

附件文件
动作
1. JATS XML
2. Fig. 1. Flowchart of the patient status database.

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3. Fig. 2. Methods of patient care.

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