zdmeЗдоровье мегаполисаCity Healthcare2713-2617ГБУ «НИИОЗММ ДЗМ»10.47619/2713-2617.zm.2024.v.5i2;92-102zdme-32Research ArticleОБЗОРЫREVIEWSК вопросу об использовании аналитики больших данных в управленческой деятельности медицинских организацийThe Use Of Big Data Analytics In Healthcare Organization Managementhttps://orcid.org/0000-0001-8397-8327ЭльбекЮ. В.ElbekYu. V.

Эльбек Юлия Викторовна – научный сотрудник

115088, г. Москва, ул. Шарикоподшипниковская, д. 9

Yuliya V. Elbek – Researcher 

9, Sharikopodshipnikovskaya ul., Moscow, 115088

ElbekYV1@zdrav.mos.ruНаучно-исследовательский институт организации здравоохранения и медицинского менеджмента Департамента здравоохранения города МосквыResearch Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department2024221120245292102Copyright © Эльбек Ю.В., 20242024Эльбек Ю.В.Elbek Y.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.city-healthcare.com/jour/article/view/32Введение

Введение. Потенциал использования аналитики больших данных в системе управления медицинскими организациями вызывает интерес у организаторов здравоохранения в связи с возросшим в последнее время вниманием со стороны научного сообщества к вопросам, посвященным поиску взаимосвязи между внедрением аналитики больших данных и пользой для медицинских организаций, как с точки зрения эффективности использования ресурсов, так и с точки зрения повышения эффективности управления.

Цель исследования состоит в обобщении научной информации, характеризующей возможности использования аналитики больших данных в управленческой деятельности медицинских организаций.

Материалы и методы

Материалы и методы. В библиографических базах PubMed, eLIBRARY, CyberLeninka, ScienceDirect и банке документов Всемирной организации здравоохранения произведен поиск публикаций, освещающих проблематику использования аналитики больших данных в здравоохранении. Поисковая стратегия основана на наборе ключевых слов и словосочетаний: «большие данные в управлении медицинской организацией», «аналитика больших данных в здравоохранении», «big data», «analytics», «management», «healthcare».

Результаты

Результаты. Проанализированы и обобщены общие и специфические аспекты возможностей аналитики больших данных для использования в управленческой практике медицинских организаций. Отмечены положительные факты использования аналитики больших данных в процессе управления персоналом, прогнозировании количества обращений в отделения неотложной помощи и в процессе отслеживания назначения и приема назначенных лекарственных препаратов.

Introduction. The potential of using big data analytics in the management system of healthcare organizations is of interest to healthcare managers, with a notable emphasis from the research community on the correlation between the incorporation of big data analytics and its advantages for healthcare organizations, particularly in terms of resource allocation and operational efficiency.The purpose of the study was to summarize scientific data characterizing the potential of big data analytics on healthcare organizations' management practices.Materials and Methods. A comprehensive search was conducted across PubMed, eLibrary, CyberLeninka and ScienceDirect databases, as well as the World Health Organization datasets, covering the use of big data analytics in healthcare. In this study, keyword and phrase searching on the following requests was performed: ”big data in healthcare organization management”, “big data analytics in healthcare”, “big data”, “analytics”, “management”, “healthcare”.Results. The study involved an in-depth analysis and consolidation of both general and specific aspects of the potential of big data analytics in the management practices of healthcare organizations. The benefits of big data analytics implementation in personnel management, as well as its efficiency in prognosing the number of referrals to emergency departments and tracking the prescription and intake of medications, were identified.

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The authors declare that there are no conflicts of interest present.