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Krenev D.A.

Don State Technical University

Gerya D.A.

Research Institute “Specialized Computing Protection Devices and Automation”

Kulushev V.M.

Botkin Moscow Multi-Field Scientific Clinical Center

Bagateliya Z.A.

Botkin Moscow Multi-Field Scientific Clinical Center;
Russian Medical Academy of Continuous Professional Education

Kreneva E.L.

Botkin Moscow Multi-Field Scientific Clinical Center

Grekov D.N.

Botkin Moscow Multi-Field Scientific Clinical Center;
Russian Medical Academy of Continuous Professional Education

Lebedev S.S.

Botkin Moscow Multi-Field Scientific Clinical Center;
Russian Medical Academy of Continuous Professional Education

Lebedko M.S.

Botkin Moscow Multi-Field Scientific Clinical Center

Maksimkin A.I.

Botkin Moscow Multi-Field Scientific Clinical Center

Optimized stratification of risk of complications in comorbid patients at the department of oncological proctology using the client-server mobile application MedDocMobile

Authors:

Krenev D.A., Gerya D.A., Kulushev V.M., Bagateliya Z.A., Kreneva E.L., Grekov D.N., Lebedev S.S., Lebedko M.S., Maksimkin A.I.

More about the authors

Journal: Pirogov Russian Journal of Surgery. 2026;(2): 7‑13

DOI: 10.17116/hirurgia20260217

Read: 682 times

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Table of contents

OPTIMIZED STRATIFICATION OF RISK OF COMPLICATIONS IN COMORBID PATIENTS AT THE DEPARTMENT OF ONCOLOGICAL PROCTOLOGY USING THE CLIENT-SERVER MOBILE APPLICATION MEDDOCMOBILE
OPTIMIZED STRATIFICATION OF RISK OF COMPLICATIONS IN COMORBID PATIENTS AT THE DEPARTMENT OF ONCOLOGICAL PROCTOLOGY USING THE CLIENT-SERVER MOBILE APPLICATION MEDDOCMOBILE

To cite this article:

Krenev DA, Gerya DA, Kulushev VM, et al. Optimized stratification of risk of complications in comorbid patients at the department of oncological proctology using the client-server mobile application MedDocMobile. Pirogov Russian Journal of Surgery. 2026;(2):7‑13. (In Russ.)
https://doi.org/10.17116/hirurgia20260217

Подписка 2026 Хирургия. Журнал им. Н.И. Пирогова (Pirogov Russian Journal of Surgery)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To evaluate the effectiveness and convenience of specialized mobile application for calculating postoperative risk in cancer patients compared to traditional methods.

MATERIAL AND METHODS

A comparative study involved 50 patients with solid malignant tumors scheduled for surgical treatment. Participants were divided into two equal groups. Risk assessment in the first group was manual, while the second group was evaluated using specialized mobile application. Data analysis was carried out using IBM SPSS software.

RESULTS

Mean calculation time in the control group was 14 min, in the study group — 4.3 min (p< 0.001). Mobile application significantly reduced calculation time and eliminated computational errors. Additionally, faster access to patient data and risks enhanced rate of clinical decision-making.

CONCLUSION

Mobile application allows for significantly faster calculation of postoperative risks, while automation of routine processes eliminated errors inherent to manual method.

Keywords:

colon cancer
postoperative risk
mobile application
digital medicine
surgery

Authors:

Krenev D.A.

Don State Technical University

Gerya D.A.

Research Institute “Specialized Computing Protection Devices and Automation”

Kulushev V.M.

Botkin Moscow Multi-Field Scientific Clinical Center

Bagateliya Z.A.

Botkin Moscow Multi-Field Scientific Clinical Center;
Russian Medical Academy of Continuous Professional Education

Kreneva E.L.

Botkin Moscow Multi-Field Scientific Clinical Center

Grekov D.N.

Botkin Moscow Multi-Field Scientific Clinical Center;
Russian Medical Academy of Continuous Professional Education

Lebedev S.S.

Botkin Moscow Multi-Field Scientific Clinical Center;
Russian Medical Academy of Continuous Professional Education

Lebedko M.S.

Botkin Moscow Multi-Field Scientific Clinical Center

Maksimkin A.I.

Botkin Moscow Multi-Field Scientific Clinical Center

Received:

15.07.2025

Accepted:

10.10.2025

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References:

  1. Ponder M, Venkatraman V, Charalambous L, et al. Mobile Health Application for Patients Undergoing Breast Cancer Surgery: Feasibility Study. JCO Oncol Pract. 2021;17:e1344-e1353. https://doi.org/10.1200/op.20.01026
  2. Ge H, Li L, Zhang D, Ma F. Applications of digital medicine in oncology: prospects and challenges. Cancer Innovation. 2022;1:285-292.  https://doi.org/10.1002/cai2.37
  3. Eastman P. Opportunities & Challenges in Digital Health Applications for Oncology. Oncol Times. 2020;42(16):30-31.  https://doi.org/10.1097/01.cot.0000696460.14446.96
  4. Günay A, Karahan A. Evaluation of the Effects of Mobile Applications on the Care Outcomes of Patients Undergoing Surgery for Breast Cancer: Systematic Review: Mobile apps in BC surgery. Arch Breast Cancer [Internet]. 2025 Jun. 24 [cited 2025 Nov. 21];12(1):5-14.  https://doi.org/10.32768/abc.20251215-14
  5. Ana FA, Loreto MS, José LM, Pablo SM, María Pilar MJ, Myriam SA. Mobile applications in oncology: A systematic review of health science databases. Int J Med Inform. 2020;133:104001. https://doi.org/10.1016/j.ijmedinf.2019.104001
  6. Aljedaani B, Babar MA. Challenges With Developing Secure Mobile Health Applications: Systematic Review. JMIR Mhealth Uhealth. 2021;9(6):e15654. https://doi.org/10.2196/preprints.15654
  7. Aljohani N, Chandran D. The Adoption of Mobile Health Applications by Patients in Developing Countries: A Systematic Review. Int J Adva Computer Scie Applicat (IJACSA). 2021;12.4.  https://doi.org/10.14569/IJACSA.2021.0120403
  8. Patel B, Thind A. Usability of Mobile Health Apps for Postoperative Care: Systematic Review. JMIR Perioper Med. 2020;3(2):e19099. https://doi.org/10.2196/19099
  9. Johnson SG, Potrebny T, Larun L, Ciliska D, Olsen NR Usability Methods and Attributes Reported in Usability Studies of Mobile Apps for Health Care Education: Scoping Review. JMIR Med Educ. 2022;8(2):e382592023;25:e38259. https://doi.org/10.2196/38259
  10. Tian L, Wen Y, Li T, Liu C, Fan J. Effects of using app-based interventions on quality of life among breast cancer patients: a systematic review with meta-analysis. Ann Med. 2025;57(1). https://doi.org/10.1080/07853890.2025.2499027
  11. Patent No. 2835407 C1 Russian Federation, IPC A61B 17/00, A61B 5/145, G01N 33/49. Method for predicting the risk of postoperative complications in comorbid patients with colon cancer: declared 14.08.2024: published 25.02.2025. EL Kreneva, VM Kulushev, MS Lebedko et al.; applicant State Budgetary Institution of Healthcare of the City of Moscow “Moscow Multidisciplinary Scientific and Clinical Center named after S.P. Botkin” of the Moscow Department of Healthcare. EDN PBZYVG. (In Russ.).
  12. Shabunin AV, Bagatelia ZA, Grekov DN, et al. Results of using an integrated scale for assessing the risks of postoperative complications in patients with colon cancer. Surgery and oncology. 2024;14(2):17-25. (In Russ.). https://doi.org/10.17650/2949-5857-2024-14-2-17-25.
  13. A method for predicting the risk of postoperative complications in comorbid patients with colon cancer using the kBROK surgical risk scale: methodological recommendations. Authors: S.S. Lebedev, K.S. Titov, D.N. Grekov, et al. Moscow: State Budgetary Healthcare Institution of the Russian Federation, S.P. Botkin Medical Scientific and Clinical Center, Department of Health of the City of Moscow, 2025. (In Russ.).
  14. Certificate of state registration of computer program No. 2025680674 Russian Federation. Client-server mobile application for assessing the risk of postoperative complications in patients with colon cancer «MedDocMobile»: declared 20.06.2025: published 07.08.2025. Kulushev VM, Krenev DA, Bagatelia ZA et al. EDN OUHPLV. (In Russ.).
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