Evolución y Tendencias en Analítica de Datos para la Salud: Un Análisis Bibliométrico de la Literatura Científica

• Cesar Felipe Henao Villa ^[1] ; Gloria Cecilia Ramírez Ramírez ^[2] ; William Alberto Rodríguez Suarez ^[2] ; Camilo Andrés Echeverri Gutiérrez ^[3] ; Leidy Catalina Acosta Agudelo ^[3] ; Mauricio Stiven Echeverri Gutiérrez ^[3] ; Claudia Marcela Montoya Escoba ^[3]
  1. [1] 1 Institución Universitaria Digital de Antioquia, Colombia.
  2. [2] Expert Medica Ips Sas, Medellín.
  3. [3] Administrative Management Consultants S.A.S, Medellín

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• Localización: RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, ISSN-e 1646-9895, Nº. Extra 69, 2024, págs. 392-407
• Idioma: español
• Títulos paralelos:
  • Evolution and Trends in Data Analytics for Health: A Bibliometric Analysis of Scientific Literature
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    La analítica de datos en el sector salud ha experimentado un auge exponencial en los últimos años, impulsada por los avances en ciencia de datos y el creciente volumen de información médica digitalizada. En este panorama de acelerada transformación tecnológica, la presente investigación, realiza un análisis bibliométrico para discernir los patrones clave que han moldeado este campo; empleando softwares especializados de vanguardia como VOSviewer, Bibliometrics y ScientoPy, este trabajo examina en profundidad indicadores críticos como la productividad de investigadores a lo largo del tiempo, distribución geográfica de publicaciones, impacto de contribuciones y tendencias emergentes. Los hallazgos obtenidos mediante estas herramientas ofrecerán una visión integral de la evolución histórica y futuras trayectorias en el área de analítica de datos en salud. Así, este artículo representa un valioso aporte para investigadores, profesionales médicos y responsables políticos, proporcionando un mapa detallado del estado actual y posibles rumbos de esta disciplina en acelerada transformación.

  • English

    Data analytics in the healthcare sector has experienced an exponential surge in recent years, driven by advances in data science and the growing volume of digitized medical information. In this landscape of rapid technological transformation, the present research conducts a bibliometric analysis to discern key patterns that have shaped this field. Utilizing cutting-edge specialized software such as VOSviewer, Bibliometrics, and ScientoPy, this work delves deeply into critical indicators such as researchers’ productivity over time, geographical distribution of publications, impact of contributions, and emerging trends. Findings obtained through these tools will provide a comprehensive insight into the historical evolution and future trajectories in the field of healthcare data analytics. Thus, this article represents a valuable contribution for researchers, healthcare professionals, and policymakers, offering a detailed map of the current state and potential directions of this rapidly evolving discipline.

• Referencias bibliográficas
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4),...
  • Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage...
  • Börner, K., Chen, C., & Boyack, K. W. (2005). Visualizing knowledge domains. Annual review of information science and technology, 37(1),...
  • Chen, C., Dubin, R., & Kim, M. C. (2014). Emerging trends and new developments in regenerative medicine: a scientometric update (2000–2014)....
  • Chen, C., Ibekwe-SanJuan, F., & Hou, J. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis....
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative...
  • Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á. O., & Toval, A. (2013). Security and privacy in electronic health records: A systematic...
  • Fradelos, E. C., Papathanasiou, I. V., Mitsi, D., Tsaras, K., Kleisiaris, C. F., & Kourkouta, L. (2014). Health based geographic information...
  • Grant, M. J. (1999). Evaluating the impact of funding on research output. International Journal of Management Reviews, 1(4), 413-439.
  • Jee, K., & Kim, G. H. (2013). Potentiality of big data in the medical sector: Focus on how to reshape the healthcare system. Healthcare...
  • Khan, G. F., Wood, J., & Mahmood, S. (2020). Information technology capabilities and organizational performance: A review from resource-based...
  • Kruse, C. S., Goswamy, R., Raval, Y., & Marawi, S. (2016). Challenges and opportunities of big data in health care: A systematic review....
  • Kruse, C. S., Stein, A., Thomas, H., & Kaur, H. (2018). The use of electronic health records to support population health: A systematic...
  • Martínez-Toro, G. M., Rico-Bautista, D., Romero-Riaño, E., Galeano-Barrera, C. J., Guerrero, C. D., & Parra-Valencia, J. A. (2019). Analysis...
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2009). Preferred reporting items for systematic reviews and meta-analyses:...
  • Murdoch, T. B., & Detsky, A. S. (2013). The inevitable application of big data to health care. JAMA, 309(13), 1351-1352.
  • World Health Organization (WHO). (2016). Health in 2015: From MDGs, millennium development goals to SDGs, sustainable development goals. World...
  • Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: A manifesto.
  • R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL...
  • Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems,...
  • Ruiz-Rosero, J., Ramirez-Gonzalez, G., & Viveros-Delgado, W. (2014). Software survey: ScientoPy, a scientometric tool for topics trend...
  • Sáez, C., Rodrigues, M., Robles, M., & García, G. C. (2014). Métodos bibliométricos para el análisis de literatura científica y estrategias...
  • Simpao, A. F., Ahumada, L. M., Gálvez, J. A., & Rehman, M. A. (2014). A review of analytics and clinical informatics in health care. Journal...
  • World Health Organization. (2016). Health in 2015: from MDGs, millennium development goals to SDGs, sustainable development goals. World Health...
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472.