Predicting Employee Performance in the Healthcare Industry Using Machine Learning Models: The Role of Artificial Intelligence Adoption

Abstract

In clinical applications artificial intelligence is being mostly entered into the healthcare industries to improve employee performance and optimize the workforce of the employees. This study investigates the effects of Artificial Intelligence adoption on employee performance management in the healthcare industries by investigates 348 professional employees and their demographic data. This study shows the use of artificial intelligence which greatly increases the accuracy of forecasting employee performance outcomes by using machine learning models, such as Support Vector Machines, Random Forest, Gradient Boosting and Logistic Regression. When compared to other models Gradient Boosting is achieved nearly 90% which is higher than the random forest, logistic regression and support vector machine. So the results shows that workers who are more engaged with artificial intelligence typically exhibit better performance management, which highlights the Artificial intelligence potential to revolutionize human resource procedures in the healthcare industry.

Ähnliche Arbeiten