# The Entropy Analysis Method for Assessing the Efficiency of Workload Distribution Among Medical Institution Personnel

## TL;DR

This paper introduces a new entropy-based method to assess how efficiently workloads are distributed among medical staff.

## Contribution

The novel contribution is an entropy analysis method that evaluates workload efficiency using time credits and entropy indicators.

## Key findings

- The method was experimentally verified in a dental clinic and found to be effective.
- It identifies inefficiencies and potential time losses in employee workloads.
- Results are presented in an intuitive format for managerial decision-making.

## Abstract

The aim of this study is to develop a convenient and effective entropy analysis method for assessing the efficiency of workload distribution among medical institution personnel. This research is based on a model for evaluating employee workload in conditional time units—credits—taking into account time-and-motion studies and the volume of medical services provided or tasks performed over a given period. The model and method developed by the authors enable the consideration of potential losses of working time and coefficients that determine the percentage of effective working time. The method is based on calculating and analyzing the values of normative and actual workloads of employees. The study introduces such indicators as relative workload, workload distribution entropy, and the entropy of free and excessively worked time credits. During the experimental verification of the developed method for analyzing the activities of a dental clinic, it was demonstrated that the method is both convenient and effective for analyzing the performance of individual employees as well as groups of employees. The results of the method are presented in a convenient and intuitively understandable form. Therefore, this method can serve as an effective tool for identifying internal reserves within the institution and making managerial decisions regarding its further operation.