OPTIMIZING MUNICIPAL PRIMARY HEALTH CARE: AN APPROACH POWERED BY DATA ANALYSIS

Authors

  • Matías Nicolás Castañeira Facultad Regional San Nicolás, Universidad Tecnológica Nacional - Argentina
  • María Guadalupe Salguero Facultad Regional San Nicolás, Universidad Tecnológica Nacional - Argentina
  • Débora Rubio Facultad Regional San Nicolás, Universidad Tecnológica Nacional - Argentina
  • Sergio Damián Ponce Facultad Regional San Nicolás, Universidad Tecnológica Nacional - Argentina
  • Francisco Madrid Facultad Regional San Nicolás, Universidad Tecnológica Nacional - Argentina

Keywords:

Analytics, statistics, dashboard, health, management

Abstract

This work is based on the design and development of a visualization tool aimed at facilitating the Primary Health Care (PHC) management process at the municipal level. In the first instance, an exhaustive survey was carried out to collect information on equipment and infrastructure, thus ensuring an accurate integration of data. Using the analytical tool Power Bi, a dashboard was developed, driven by data analysis methodologies. The development process included the use of advanced analytical techniques to design an intuitive and practical dashboard. Through Power BI, the collected data was transformed into interactive and visually appealing charts. The dashboard presents a comprehensive view of the PHC system, facilitating informed decision making in an efficient and effective manner by healthcare managers. In addition, the integration of various data sets provides valuable information and improves the management of various problem situations. As a result, a dashboard was obtained that offers a comprehensive view of primary health care services and, in addition, provides various indicators that facilitate problem solving and efficient allocation of resources. The tool is highly relevant as it enables data-backed decision making and improves the quality of health services at the municipal level.

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Published

2024-05-15

How to Cite

Castañeira, M. N., Salguero, M. G., Rubio, D., Ponce, S. D., & Madrid, F. (2024). OPTIMIZING MUNICIPAL PRIMARY HEALTH CARE: AN APPROACH POWERED BY DATA ANALYSIS. AJEA (Proceedings of UTN Academic Conferences and Events), (AJEA 30). Retrieved from https://rtyc.utn.edu.ar/index.php/ajea/article/view/1455

Conference Proceedings Volume

Section

Proceedings - Knowledge Industries