Desarrollo De Un Algoritmo De Automatización Para el Procesamiento y Análisis De la Facturación De Datos De la Empresa Clínica las Victorias, En Espinal-Tolima Mediante el Lenguaje De Programación PYTHON.

Abstract

The central problem addressed by this project is the need for Clínica Las Victorias Fracturas S.A.S to optimize its billing analysis processes, which are highly demanding due to the large amount of data generated. Currently, the lack of automation limits efficiency in generating executive reports, which affects informed decision-making. This work justifies the implementation of an automated data analysis algorithm in Python, as advanced technologies such as artificial intelligence and automation have proven effective in optimizing similar processes in various industries. The general objective is to develop an algorithm in Python to automate the processing and analysis of the clinic's billing data, thereby enabling more efficient data management and improving decision-making. The methodology involves an applied approach, including data collection, the design of the algorithm's logical scheme, code construction, testing and validation, and finally, implementation with staff training. The expected results include automating the billing analysis process, which will facilitate the generation of more accurate and timely reports. This will allow the clinic to identify important patterns and trends to enhance its operational efficiency.