Implementation of Machine Learning to Mitigate the Deficit of Health Personnel and Optimize Healthcare

Perez-Siguas R.; Matta-Solis H.; Matta-Solis E.; Matta-Perez H.; Perez-Siguas L.; Pumacayo-Sanchez Z.O. · International Journal of Engineering Trends and Technology (2023) · DOI: 10.14445/22315381/ijett-v71i1p224

Resumen

The health system in Peru over the years has presented various deficiencies that intensified during the pandemic; one of these problems continues to be the lack of health personnel. The country has a high deficit of human resources for the current demand for care in the different health centers nationwide. The present investigation proposes developing a web system that predicts the need for care in the different medical specialties using a field of artificial intelligence known as machine learning to analyse data in the format of electronic medical records. The results obtained show that efficient planning allows optimizing the organization of health personnel to cover the demand for the different health care services, in addition to reducing the administrative workload that is often assigned to care personnel, and that through the automation and rapid response offered by a system that uses artificial intelligence means more time is available to improve patient flow and provide prompt and timely care.

Instituciones: Universidad Nacional de Educación Enrique Guzmán y Valle