Engaging Patients, Empowering Doctors in Digitalization of Healthcare

  • Nikita Shklovsky-KordiEmail author
  • Boris Zingerman
  • Michael Shifrin
  • Rostislav Borodin
  • Tatiana Shestakova
  • Andrei Vorobiev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10594)


Patients can monitor their own physiological parameters and medical events using mobile applications. The problem is how to involve patients in regular use. The key problem seems to convince the patient that doctor will get acquainted with the data sent in service of Patient Health Records (PHR) on time. From other hand we have to organize for doctors the comfortable access to such data and do not overload them. The dynamics of clinical parameters of diabetes, hypertension, anticoagulation – vital for successful treatment, so these patients and their physicians seems to be perspective for innovation methods. Pulse, blood pressure, weight, glucose level and confirmation of a dose of medication taken, organized to be immediately delivered in the PHR from mobile application and household measuring devices used by the patient. The doctor choosing variants of presentation of medical monitoring information transmitted from the patient. In addition, specialized Medical Messenger (MM) allows the patient to ask questions to the doctor at the moment when they arise without disturbing the life of the doctor via his personal mobile phone or e-mail. We expect this exchange of messages will serve as a base of innovative interactive case history, managed not only by physician, but by patient as well. Personal monitoring also used for evaluating the “adherence to treatment”: system of reminders about medication and measurements, the results of which become available to doctor according intellectual algorithms he chooses.


Patient health records (PHR) Medical data presentation Distant medical monitoring Intellectual algorithms Adherence to treatment 



This work was supported, in part, by a Grants RFBR, Russia № 16-29-12998, 16-07-01140, 16-07-01047.


  1. 1.
    Shklovskiy-Kordi, N.E., Zingerman, B., Varticovski, L.: Electronic Health Records (EHR) adapted for clinical trials. J. Clin. Oncol. 29(15_suppl), 345–346 (2011). e16582CrossRefGoogle Scholar
  2. 2.
    Shklovskiy-Kordi, N.E., Zingerman, B.: The protection of personal information and the patient’s interests and safety - Russian experience. In: Proceedings ESH, Jerusalem, p. 84 (2010)Google Scholar
  3. 3.
    Gusev, A.V.: Criteria for choosing a medical information system (Rus.). Health Manag. 5, 38–45 (2010)Google Scholar
  4. 4.
    Shklovskiy-Kordi, N.E., Zingerman, B.: Electronic medical map and the principles of its organization (Rus.). Doct. Inf. Technol. 2, 37–58 (2013)Google Scholar
  5. 5.
    Zingerman, B.: A personal electronic medical card is a service that is available now (Rus.). Doct. Inf. Technol. 3, 15–25 (2010)Google Scholar
  6. 6.
    Shklovskiy-Kordi, N.E., Zingerman, B., et al.: Computerized case history - an effective tool for the management of patients and clinical trials. In: Proceedings MIE 2005 ENMI European Notes in Medical Informatics, vol. 1(1), pp. 53–58 (2005)Google Scholar
  7. 7.
    Shklovskiy-Kordi, N.E., Zingerman, B., Vorobiev, A.I.: On telemedicine “patient-doctor”. Doct. Inf. Technol. 1, 61–79 (2017)Google Scholar
  8. 8.
    Shklovskiy-Kordi, N.E., Zingerman, B., Varticovski, L.: Electronic Health Records (EHR) adapted for clinical trials. J. Clin. Oncol. 29, 256–257 (2011). abstract e16582CrossRefGoogle Scholar
  9. 9.
    Goldberg, S., Shklovskiy-Kordi, N.E., Zingerman, B.: Time-oriented multi-image case history - the way to the “disease image analysis”. In: VISAPP, Barcelona, Spain, pp. 378–383 (2007)Google Scholar
  10. 10.
    Shklovskiy-Kordi, N.E., Zingerman, B., Karp, V.P., Vorobiov, A.I.: Integrated electronic medical record: tasks and problems. Doct. Inf. Technol. 1, 24–34 (2015)Google Scholar
  11. 11.
    Shklovskiy-Kordi, N.E., Zingerman, B., et al.: Use of computerized time-sensitive multimedia case presentation for clinical outcome analysis. Blood 98(1), 768 (2001). abstracts 5450Google Scholar
  12. 12.
    Shklovskiy-Kordi, N.E., Zingerman, B., Goldberg, S., Kremenetzkaia, A., Krol, M., Rivkind, N., Vorobiev, A.: Disease image: a time axis presentation of clinical information. Int. J. Hematol. 67(1), 290–291 (2000)Google Scholar
  13. 13.
    Shklovskiy-Kordi, N., Zingerman, B., Kobeliacky, V., Gudilina, J., Freidin, J., Goldberg, S., Davis, S.: A time axis Presentation of the clinical and diagnostic information from multiple sources. J. Am. Assoc. Med. Inf. Supplement, 1161 (1999)Google Scholar
  14. 14.
    Shklovskiy-Kordi, N., Freidin, J., Goldberg, S., Krol, M., Rivkind, N., Zingerman, B., Davis, S.: Standardization for telemedical consultation on a basis of multimedia case history. In: Proceedings, Fourteenth IEEE Symposium on Computer-Based Medical Systems, pp. 535–540 (2001)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nikita Shklovsky-Kordi
    • 1
    Email author
  • Boris Zingerman
    • 1
  • Michael Shifrin
    • 2
  • Rostislav Borodin
    • 3
  • Tatiana Shestakova
    • 4
  • Andrei Vorobiev
    • 1
  1. 1.National Research Center for HematologyMoscowRussian Federation
  2. 2.Burdenko’s Neurosurgical CentreMoscowRussian Federation
  3. 3.National Research University Higher School of EconomicsMoscowRussian Federation
  4. 4.Moscow Regional Research and Clinical InstituteMoscowRussian Federation

Personalised recommendations