Human Resources Management Analytics in Private Healthcare Unit

Abstract

Private Greek healthcare sector consists mainly of medium and small size entities. These entities, especially small ones, rely completely on their Human Resources.  However, it seems that they do not avail themselves of new technological methods and tools for assessing their human resources.

The aim of the present study was to create a methodology that will help these entities to evaluate their employees properly and to prove that the empirical knowledge of managers and heads can be enhanced by employing Data Mining methods, in order to create a successful evaluation model.

In the present study, a healthcare unit consisted of 287 employees was selected. Twelve interviews were conducted with 12 managers and heads. A Graphic Rating Scale Τable, built by eight qualitative attributes, was given to the interviewees. Those 8 qualitative attributes were combined with 18 quantitative attributes in order for a new model to be created. Data were collected from the Human Resources department. To perform the analysis, Machine Learning methods were used.

This model proved to be functional and capable of giving valid information to management for employees’ evaluation. Data Mining methods are quite useful for the HR department and the Administration of the unit.

The above methodology provides low-costs and usable tools, for appropriate employees’ evaluation.

EL Classifications: J24, M12, M54, C38.

Key words: Human Resources, Management, Healthcare Unit, Data Mining