Investigating energy consumption in hospitals by text mining method

Abstract

Energy consumption in hospitals can reach significant levels. However, it is essential to provide health services without compromising service quality. Accordingly, the need for energy cannot be ignored. Because hospitals need energy to provide services, therefore, energy consumption in hospitals is unlikely to be reduced to zero. Accordingly, efficiency is a more reasonable option. For this purpose, the Web of Science database is searched with the keywords “hospital” and “energy consumption.” These studies are analyzed using the text mining method with the KNIME program. As a result, the most recurring words are ranked as single, double, triple, and quadruple. The recurring words show that the studies are mostly on energy consumption and energy efficiency dimensions. For future studies, unit-specific energy consumption calculations and efficiency actions to be implemented accordingly can be presented as suggestions.