Skip to main content
Number №4, 2025
Legal Sovereignty of the Individual in Digital Healthcare in the Era of Artificial Intelligence
Number №3, 2025
Digital Health: Forecast for 2025-2030
Number №2, 2025
Digital technologies in remote monitoring of childbirth with a Clinical decision support system (CDSS)
Number №1, 2025
Digital technologies for health promotion and disease prevention in older adults
Number №4, 2024
Computer reconstruction of the interaction of genes associated with Angelman syndrome
Number №3, 2024
Telemedicine today: trends in the use of telemedicine consultations based on regional experience
Number №2, 2024
Mobile apps for psychological well-being: user attitudes and definition of requirements
Number №1, 2024
Diagnosis in the era of digital medicine
Number №4, 2023
Artificial intelligence in Russian healthcare: collecting and preparing data for machine learning
Number №3, 2023
China as a supplier of medical equipment in the Russian Federation. Options for cooperation and features of working with Chinese suppliers
Number №2, 2023
Experience in teaching telemedicine in the system of higher professional education The attitude of medical workers to telemedicine technologies
Number №4, 2022
Physician burnout: the hidden healthcare crisis. Results of an online survey of doctors
Number №3, 2022
Interaction of clinical and diagnostic medicine. Results of an online survey of doctors
Number №2, 2022
Mobile applications for mental health self-management: a review of customers’ opinions Ultrasound robots: ready-to-use solutions and perspective directions
Number №1, 2022
Digital transformation of the pathological service as a way to improve the quality of medical care
Number №4, 2021
Clinical guidelines of the Ministry of Health of the Russian Federation: are doctors ready to follow them? Results of an online survey of doctors.
Number №3, 2021
Виртуальная реальность (VR) в клинической медицине: международный и российский опыт
Number №2, 2021
Дистанционные консультации пациентов: что изменилось за 20 лет?
Number №1, 2021
Experience of participation in the blood pressure telemonitoring pilot project of the Ministry of Healthcare
Number №4, 2020
Автоматизация процесса выявления у беременных заболевания COVID-19
Number №3, 2020
Remote cognitive behavioral therapy for stress disorder associated with the COVID-19 pandemic
Number №2, 2020
Distance education at a medical school during the COVID-19 pandemic: the first experience through the eyes of students
Number №1-2, 2018
Ответственность при использовании телемедицины: врач или юрист Скрининг меланомы: искусственный интеллект, mHealth и теледерматология
Number №3, 2018 год
II Всероссийский форум по телемедицине, цифровизации здравоохранения и медицинскому маркетингу «ТЕЛЕМЕДФОРУМ 2019» Эффективность телемедицинских консультаций «пациент-врач» Телереабилитация: рандомизированное исследование исходов
Number №1-2, 2019
Роль искусственного интеллекта в медицине Информационная система поддержки принятия врачебных решений
Number №1, 2020
Technologies for continuous monitoring of blood pressure: prospects for practical application Telemedicine technologies in the Chinese army
Number №2, 2017
Primary telemedicine consultation "patient-doctor": first systematization of methodology
Number №1, 2017
1. A systematic review of using Internet messengers in telemedicine 2. Telemedicine and social networks in the fight against drug addiction
Number №1, 2016
1. The Experience of the Telehealth Network of Minas Gerais, Brazil 2. The Remote Monitoring of Patients with Congestive Heart Failure:The Organizational Impact..
Number №1, 2015
Teleassessment for diagnosis and treatment in urology Efficiency of telemedicine at the northern regions Russian Federation A.L. Tsaregorodtsev

Digital transformation of ultrasound diagnostics

Number №4, 2022 - page 21-45
DOI: 10.29188/2712-9217-2022-8-4-21-45
For citation: Lebedev G.S., Shaderkin I.A., Shaderkina A.I. Digital transformation of ultrasound diagnostics. Russian Journal of Telemedicine and E-Health 2022;8(3):21-45; https://doi.org/10.29188/2712-9217-2022-8-4-21-45
Lebedev G.S., Shaderkin I.A., Shaderkina A.I.
Information about authors:
  • Lebedev G.S. – MD, PhD, professor, Head of the Department of Information and Internet Technologies at Sechenov University; Head of the Department of Innovative Development and Scientific Design of the Central Research Institute of Organization and Informatization of Health Care of the Ministry of Health of the Russian Federation; Moscow, Russia
  • Shaderkin I.A. – MD, PhD, Head of the Laboratory of Electronic Health, Institute of Digital Medicine, Sechenov University; Moscow, Russia; https://orcid.org/0000-0001-8669-2674
  • Shaderkina A.I. – 4-year student Institute of Clinical Medicine, department «Personalized medicine» of the First Moscow State Medical University named after I.M. Sechenov (Sechenov University); Moscow, Russia; https://orcid.org/0000-0003-0639-3274
18035
Download PDF

Introduction. Ultrasound (US) is one of the most applied diagnostic methods in the medicine due to its accessibility and non-invasiveness. Twice more ultrasound examinations are conducted in Russia then in economically developed countries. It is necessary to increase the efficiency of ultrasound and optimization of data management because of its significant impact on diagnostics and high load on the US method. In this paper we provide the ways digital technologies have influence on the ultrasound.

Materials and methods. The search was conducted via Pubmed database and the Internet open sources.

Results. Based on the conducted research, we can separate apply of tele-ultrasound into several directions: using in the remote and resource-limited towns and areas; in the emergency care; in the situations with limited time or access to the medical care, for instance, in space; in obstetrics; for home monitoring by patients or their relatives; and for medical staff training. Routine two-steps algorithm of ultrasound examination can be divided to discrete stages with new technological solutions and participants, including artificial intelligence: data obtaining, saving, transfer and analysis, cloud storage and patient’s access to it at any time.

Conclusion. Ultrasound is an actively developing sphere of instrumental diagnostics and on the current stage there are enough instruments for its digital transformation. The appearance of portable and handheld US devices, development of standardized protocols and POCUS implementation in routine clinical practice, and use of ultrasound robots allows to minimize such disadvantages of US as its operator-dependance and subjectivity of examinations. The development of systems for data transfer and storage leads to broadening of ultrasound data management possibilities, for example, datasets creation, data sharing with other specialists and tele ultrasound implementation which widens access to medicine in resource-limited areas.

 
Attachment Size
Download 5.99 MB
Keywords: ultrasound; point-of-care ultrasound (POCUS); tele-ultrasound; artificial intelligence; digital transformation