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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Bulletin of Semashko National Research Institute of Public Health</journal-id><journal-title-group><journal-title>Bulletin of Semashko National Research Institute of Public Health</journal-title></journal-title-group><issn publication-format="print">2415-8410</issn><issn publication-format="electronic">2415-8429</issn><publisher><publisher-name>FSSBI «N.A. Semashko National Research Institute of Public Health»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">2838</article-id><article-id pub-id-type="doi">10.69541/NRIPH.2024.03.011</article-id><article-categories><subj-group subj-group-type="heading"><subject>Научная статья</subject></subj-group></article-categories><title-group><article-title>The effectiveness of radiation diagnostics management using analytical dashboards: the oncological aspect</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Vasilev</surname><given-names>Yuriy A.</given-names></name><email>VasilevYA1@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0002-5283-5961</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Ivanova</surname><given-names>Galina V.</given-names></name><email>IvanovaGV13@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0009-0009-8470-223X</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mukhortova</surname><given-names>Anna N.</given-names></name><email>MukhortovaAN@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0001-9814-3533</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Filin</surname><given-names>Michael E.</given-names></name><email>FilinME1@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0009-0008-9851-1058</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Shulkin</surname><given-names>Igor M.</given-names></name><email>ShulkinIM@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0002-7613-5273</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Vladzymyrskyy</surname><given-names>Anton V.</given-names></name><email>VladzimirskijAV@zdrav.mos.ru</email><uri content-type="orcid">https://orcid.org/0000-0002-2990-7736</uri><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»</aff><pub-date date-type="epub" iso-8601-date="2024-10-01" publication-format="electronic"><day>01</day><month>10</month><year>2024</year></pub-date><issue>3</issue><fpage>72</fpage><lpage>80</lpage><history><pub-date date-type="received" iso-8601-date="2025-05-27"><day>27</day><month>05</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025,</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>&lt;p&gt;Early diagnosis plays an important role in the successful treatment of oncological diseases. The well-coordinated interaction of the radiological technician and the radiologist and the formation of the research protocol timely represent the key stages of effective medical care provision for patients. Today, a new trend prevails in healthcare management. It is management based on objective data, the implementation of which is possible by using a universal tool  dashboard.&lt;br /&gt;Purpose. The purpose of our research was to study the effectiveness of using the analytical panel as a tool for monitoring the timeliness of the preparation of research protocols in radiation diagnostics.&lt;br /&gt;Material and methods. The work of the radiology departments was constantly monitored with help of the developed analytical panel Oncology CT, MRI, MMG. Among other analyzed parameters, the proportion of the results of radiation examinations sent for expert review and the proportion of the results of preventive mammography classified as BI-RADS 3 were evaluated. When deviations were detected, intervention was carried out (two types of management actions). The results of the interventions were evaluated after 1 year.&lt;br /&gt;Results. In comparison with the data of 2022, in 2023 there was a decrease in the percentage of studies not sent to the second reading: for CT of the kidneys and urinary tract from 27.5% to 0%, for MRI of the prostate from 32.13% to 0.17%, for MMG  from 100% to 3%. According to the monitoring results, the intervention contributed to a decrease in the percentage of BI-RADS 3 in MMG protocols from 6.1% in 2022 to 4.16% in 2023.&lt;br /&gt;Limitations of the study. The monitoring was carried out using the developed analytical panel Oncology CT, MRI, MMG&lt;br /&gt;Conclusion. The implementation of the dashboard Oncology CT, MRI, MMG into clinical practice allowed to optimize the diagnostic process, eliminating delays in obtaining conclusions, as well as improving their quality, thanks to the double reading of images and continuous training of specialists.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>dashboard</kwd><kwd>analytical panel</kwd><kwd>radiation diagnostics</kwd><kwd>data visualization</kwd><kwd>healthcare</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>дашборд</kwd><kwd>аналитическая панель</kwd><kwd>лучевая диагностика</kwd><kwd>визуализация данных</kwd><kwd>здравоохранение</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Kaprin A.D., Starinskogo V.V., Shahzadovoj A.O. The state of oncological care for the population of Russia in 2022. Moscow; 2023. P.239 (in Russian).</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation></mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Shelyakin V.A., Linnik S.A., Tretyakov D.A. et al. Planning medical care for patients with cancer in the constituent entities of the Russian Federation. Manager Zdravoochranenia. [Menedzher zdravoohraneniya]. 2023;(1):60—69 (in Russian). DOI:10.21045/1811-0185-2023-1-60-69</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation></mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Gelezhe P.B., Blohin I.A., Semenov D.S. et al. Magnetic resonance imaging radiomics in prostate cancer radiology: what is currently known? Digit. Diagnostics. Digital Diagnostics]. 2022;2(4):441—452 (in Russian). DOI:10.17816/DD70170</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation></mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Perkhov V.I., Korkhmazov V.T. About priorities of federal projects in the field of health care. Current problems of health care and medical statistics. [Sovremennye problemy zdravoohraneniya i medicinskoj statistiki]. 2023;(2):870—893 (in Russian). DOI:10.24412/2312-2935-2023-2-870-893</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation></mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Pashigorova L.V., Ponomarenko B.T. Social aspects of the implementation of the federal project “Fight against cancer”. Ethnosocium and interethnic culture. [Etnosocium i mezhnacional'naya kul'tura]. 2020;142(4):34—42 (in Russian).</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation></mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Jawa R.S. et al. A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge. JAMIA Open. 2021;3(4):518—522. DOI:10.1093/jamiaopen/ooaa054</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation></mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Greco K.J. et al. A Dashboard for Tracking Mortality After Cardiac Surgery Using a National Administrative Database. Cardiol. Res.2021;12(2):86—90. DOI:10.14740/cr1220</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation></mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Makic M.B.F. et al. Dashboard Design to Identify and Balance Competing Risk of Multiple Hospital-Acquired Conditions. Appl. Clin. Inform. 2022;13(03):621—631. DOI:10.1055/s-0042-1749598</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation></mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Taxter A. et al. Co-design of an Electronic Dashboard to Support the Coproduction of Care in Pediatric Rheumatic Disease: Human-Centered Design and Usability Testing. J. Particip. Med.2022;14(1):e34735. DOI:10.2196/34735</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation></mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Rivas C. et al. Automated analysis of free-text comments and dashboard representations in patient experience surveys: a multimethod co-design study. Heal. Serv. Deliv. Res. 2019;7(23):1—160. DOI:10.3310/hsdr07230</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation></mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Murphy D.R. et al. Dashboards for visual display of patient safety data: a systematic review. BMJ Heal. Care Informatics.2021;28(1):e100437. DOI:10.1136/bmjhci-2021-100437</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation></mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Scheinfeld M.H. et al. The Emergency Radiology Dashboard: Facilitating Workflow With Realtime Data. Curr. Probl. Diagn. Radiol. 2020;49(4):231—233. DOI:10.1067/j.cpradiol.2020.02.013</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation></mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Fareed N. et al. U.S. COVID-19 State Government Public Dashboards: An Expert Review. Appl. Clin. Inform. 2021;12(02):208—221. DOI:10.1055/s-0041-1723989</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation></mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Pestana M., Pereira R., Moro S. Improving Health Care Management in Hospitals Through a Productivity Dashboard. J. Med. Syst.2020;44(4):87. DOI:10.1007/s10916-020-01546-1</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation></mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Fazaeli S. et al. Development, Implementation, and User Evaluation of COVID-19 Dashboard in a Third-Level Hospital in Iran. Appl. Clin. Inform. 2021;12(05):1091—1100. DOI:10.1055/s-0041-1740188</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation></mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Jan Z. et al. Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review. J. Med. Internet Res.2023;25:e44248. DOI:10.2196/44248</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation></mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Sung H. et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA. CancerJ. Clin. 2021;71(3):209—249. DOI:10.2196/44248</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation></mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Ogrinc G. et al. SQUIRE-EDU (Standards for QUality Improvement Reporting Excellence in Education): Publication Guidelines for Educational Improvement. Acad. Med. 2019;94(10):1461—1470. DOI:10.1097/ACM.0000000000002750</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation></mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>Golbits A.B. et al. Bosniak classification version 2019: updated algorithms for the diagnosis of cystic renal masses. Cancer Urol.2022;17(4):165—175. DOI:10.17650/1726-9776-2021-17-4-165-175</mixed-citation></ref><ref id="B38"><label>38.</label><mixed-citation></mixed-citation></ref><ref id="B39"><label>39.</label><mixed-citation>Abuladze L.R., Semenov D.S., Panina O.Yu. et al. Optimized biparametric magnetic resonance imaging protocol for prostate cancer detection. Digit. Diagnostics. 2022;3(3):166—177 (in Russian). DOI:10.17816/DD108484</mixed-citation></ref><ref id="B40"><label>40.</label><mixed-citation></mixed-citation></ref><ref id="B41"><label>41.</label><mixed-citation>Nikolaev A.E., Blohin I.A., SHapiev A.N. et al. Application of the PI-RADS system in the MR diagnosis of the prostate gland (adapted version of the classification system for evaluation of data and drawing up a conclusion in the interpretation of MRI of prostate PI-RADS of the American Radiological Society). Best practices of radiation and instrumental diagnostics. [Luchshie praktiki luchevoj i instrumental'noj diagnostiki]. 2019;(31):26 (in Russian).</mixed-citation></ref><ref id="B42"><label>42.</label><mixed-citation></mixed-citation></ref><ref id="B43"><label>43.</label><mixed-citation>Kharuzhyk S.A., ShymanetsS.V., KarmanA.V. et al. Use of BIRADS to interpret magnetic resonance mammography for breast cancer. Journal of radiology and nuclear medicine. [Vestnik rentgenologii i radiologii]. 2014;(4):46—59 (in Russian).</mixed-citation></ref><ref id="B44"><label>44.</label><mixed-citation></mixed-citation></ref><ref id="B45"><label>45.</label><mixed-citation>Vazquez-Ingelmo A., Garcia-Penalvo F.J., Theron R. Information Dashboards and Tailoring Capabilities — A Systematic Literature Review. IEEE Access. 2019;7:109673—109688.</mixed-citation></ref><ref id="B46"><label>46.</label><mixed-citation></mixed-citation></ref><ref id="B47"><label>47.</label><mixed-citation>Verhovskaya Е., Mikheev A., Romanov A. Rapid prototyping of graphical representations of data (dashboards) for the head workstation in the HIS. Vrach i Inf. Tehnol. 2019;(4):58—64.</mixed-citation></ref><ref id="B48"><label>48.</label><mixed-citation></mixed-citation></ref><ref id="B49"><label>49.</label><mixed-citation>Baugh C.W. et al. Strategies to mitigate emergency department crowding and its impact on cardiovascular patients. Eur. Hear. J. Acute Cardiovasc. Care. 2023;12(9):633—643. DOI:10.1093/ehjacc/zuad049</mixed-citation></ref><ref id="B50"><label>50.</label><mixed-citation></mixed-citation></ref><ref id="B51"><label>51.</label><mixed-citation>Dreiher J. et al. Emergency Department Admission Rates, Waiting Times, and Mortality: An Observational Study in the Tertiary Center Most Proximal to Gaza During a Military Conflict. Disaster Med. Public Health Prep. 2023;(17):e463. DOI:10.1017/dmp.2023. 45</mixed-citation></ref><ref id="B52"><label>52.</label><mixed-citation></mixed-citation></ref><ref id="B53"><label>53.</label><mixed-citation>Reis A. et al. Monitoring System for Emergency Service in a Hospital Environmen. 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG). IEEE. 2019;1—4. DOI:10.1109/ENBENG.2019. 8692461</mixed-citation></ref></ref-list></back></article>
