Remote monitoring of pregnant women: the Orenburg experience

Savinova T.L., Grudkin A.A., Ermolaeva I.V., Kundik T.A., Zingerman B.V., Abu Al Laban N.A., Borodin R.A., Yakovleva I.V., Kholin A.M., Shuvalova M.P., Sukhikh G.T.

1) Ministry of Health of the Orenburg Region, Orenburg, Russia; 2) Orenburg Clinical Perinatal Centre, Orenburg, Russia; 3) AyPat LLC, Moscow, Russia; 4) M.V. Lomonosov Moscow State University, Moscow, Russia; 5) Academician V.I. Kulakov National Medical Research Centre for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, Moscow, Russia

Background: Patient-centered medical care is one of the most promising areas in the development of digital healthcare, including remote monitoring of pregnant women’s health, since it meets the demand for improved access and quality of medical services.
Objective: To analyze the experience of using a system of remote monitoring and control of pregnancy, including the possibility of monitoring high-risk pregnancies, to evaluate the use of remote monitoring of pregnant women’s health using a cloud-based digital platform and to assess the potential for its future implementation based on prospective follow-up in Orenburg.
Materials and methods: The remote monitoring system for pregnancy health is a cloud-based digital platform, web application, and symptom-based surveillance scripts. The qualitative study was based on prospective follow-up of 2,488 pregnant women and 489 women who gave birth. A total of 18,206 questions asked by pregnant women to their attending physicians and 4,013 notifications (‘alarms’) were studied. The notifications were generated using the parameters entered by pregnant women on the Medsenger.AI remote monitoring platform, provided by AyPat LLC, in collaboration with the Orenburg Clinical Perinatal Centre and seven antenatal clinics in Orenburg. The data cover the period from 17 October 2023 to 20 May 2024.
Results: The system for remote monitoring of pregnant women’s health has received high marks from users. Professionals who were introduced to the system appreciated its usefulness in existing routine work. The study demonstrated the importance, convenience and accessibility to the patients. The time spent by the physician on participating in remote monitoring was assessed. There was a high demand for remote monitoring among pregnant women: 81% of participants used the platform, 86% of those who used it indicated that it was useful and convenient. The participant feedback score was 4.82 (out of 5).
Conclusion: A comprehensive scenario for remote monitoring of pregnant women has demonstrated that both patients and physicians are receptive to its integration into routine practice. The proposed tool can be used in the management of pregnancy at the primary specialist health care level.

Authors’ contributions: Savinova T.L., Sukhikh G.T. – developing the study concept; Grudkin A.A. – developing the scenario, organizing the monitoring; Ermolaeva I.V. – developing and analyzing the use of the monitoring scenario, medical supervision of the monitoring project; Kundik T.A. – developing the monitoring scenario, guiding and supporting the doctors who conducted the monitoring; Zingerman B.V. – scientific supervision of the project, drafting the text of the article; Abu Al Laban N.A. – software development, user support; Borodin R.A. – software development, analysis of the received materials; Yakovleva I.V., Kholin A.M. – expert analysis of the results, editing the text of the article, literature selection; Shuvalova M.P. – expert analysis of the results, editing the text of the article.
Conflicts of interest: The authors declare that they have no conflicts of interest.
Funding: This study was a part of a project supported by the Foundation for Assistance to Small Innovative Enterprises in Science and Technology (832GRNTIS5/81931); it was carried out using the specialised platform Medsenger.AI (Certificate of State Registration of Computer Program No. 2019619421).
Patient Consent for Publication: Patients signed informed consent to join the remote monitoring program.
Authors' Data Sharing Statement: The data supporting the findings of this study are available on request from the corresponding author after approval from the principal investigator.
For citation: Savinova T.L., Grudkin A.A., Ermolaeva I.V., Kundik T.A., Zingerman B.V., Abu Al Laban N.A., Borodin R.A., Yakovleva I.V., Kholin A.M., Shuvalova M.P., Sukhikh G.T. 
Remote monitoring of  pregnant women: the Orenburg experience.
Akusherstvo i Ginekologiya/Obstetrics and Gynecology. 2024; (11): 162-172 (in Russian)
https://dx.doi.org/10.18565/aig.2024.212

Keywords

telemedicine technologies
remote monitoring of pregnancy
decision support systems
artificial intelligence
personalized medical assistants

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Received 22.08.2024

Accepted 18.11.2024

About the Authors

Tatiana L. Savinova, Vice-Governor, Deputy Chairman, Government of the Orenburg Region for Social Policy – Minister of Health of the Orenburg Region,
+7(3532)78-61-38, 78-63-84
Andrey A. Grudkin, Head, Orenburg Clinical Perinatal Center, 460051, Russia, Orenburg, Gagarin Ave., 23, +7(3532)49-91-00, gob41@mail.orb.ru
Irina V. Ermolaeva, Chief Physician, Orenburg Regional Hospital No. 3, 460040, Russia, Orenburg, Gagarin Ave., 19А, +7(903)360-38-02, i-ermolaeva@mail.ru
Tatiana A. Kundik, Head of the Department of Organization of Medical Care for Children and Maternity Services of the Ministry of Health of the Orenburg Region,
Orenburg, Russia, office04@mail.orb.ru
Boris V. Zingerman, Scientific Supervisor, “AyPat” Ltd, 115533, Russia, Moscow, Andropov Ave., 22, +7(499)519-00-78, boriszing@gmail.com,
https://orcid.org/0000-0002-1855-1834
Nadia A. Abu Al Laban, Senior Programmer, “AyPat” Ltd, 115533, Russia, Moscow, Andropov Ave., 22, +7(499)519-00-78, naabulaban@gmail.com
Rostislav A. Borodin, Technical Director, “AyPat” Ltd, 115533, Russia, Moscow, Andropov Ave., 22, +7(499)519-00-78, borodin@medsenger.ru
Irina V. Yakovleva, PhD (Sociology), Associate Professor, School of Public Administration, Lomonosov Moscow State University; Expert, Department of Telemedicine,
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Oparin str., 4,
+7(495)438-25-38, yakovleva@spa.msu.ru, https://orcid.org/0000-0002-1332-6419
Alexey M. Kholin, PhD, Head of the Department of Telemedicine, V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology,
Ministry of Health of Russia, 117997, Russia, Moscow, Oparin str., 4, +7(495)438-25-38, a_kholin@oparina4.ru, https://orcid.org/0000-0002-4068-9805
Marina P. Shuvalova, PhD, Associate Professor, Deputy Director – Head of the Department of Regional Cooperation and Integration, V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Oparin str., 4, +7(495)438-25-38, m_shuvalova@oparina4.ru, https://orcid.org/0000-0002-6361-9383
Gennady T. Sukhikh, Academician of the RAS, Dr. Med. Sci., Professor, Director, V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia, 117997, Russia, Moscow, Oparin str., 4, g_sukhikh@oparina4.ru, https://orcid.org/0000-0002-7712-1260
Corresponding author: Alexey M. Kholin, a_kholin@oparina4.ru

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