Health and safety modelling processes at work for the support of the epidemiological surveillance

Dimitris Hatzistavrou, Paraskevi Ponirou, Martha Charalampidou, Marianna Diomidous

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Health and safety at the work place is an important issue of the modern society, as there are a lot of factors and parameters which may influence health in the working environment. The aim of this research gives with a simple and comprehensible everything that is related with workers health and it also facilitate the developers computer work to create more advanced systems targeted in health informatics in the near future. Through bibliographic research risk factors were identified and categorized in order to be more functional. These types of categories include the natural, biological, chemical and transverse risk factors. Detailed information was also presented regarding the types of work, the Personal Protective Equipment the sex, the age, the education and the training at the work place. Based on the class diagram of Unified Modeling Language (UML), an object-oriented model was developed, in which every possible correlation of the above mentioned risk factors with the hygiene and safety of workers was presented.

Original languageEnglish
Title of host publicationInformatics, Management and Technology in Healthcare
Pages255-257
Number of pages3
Volume190
DOIs
Publication statusPublished - 2013
EventInternational Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2013 - Athens, Greece
Duration: 5 Jul 20137 Jul 2013

Other

OtherInternational Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2013
CountryGreece
CityAthens
Period5/07/137/07/13

Keywords

  • agriculture
  • object oriented model
  • protective measures
  • risk factors
  • UML

Fingerprint Dive into the research topics of 'Health and safety modelling processes at work for the support of the epidemiological surveillance'. Together they form a unique fingerprint.

  • Cite this

    Hatzistavrou, D., Ponirou, P., Charalampidou, M., & Diomidous, M. (2013). Health and safety modelling processes at work for the support of the epidemiological surveillance. In Informatics, Management and Technology in Healthcare (Vol. 190, pp. 255-257) https://doi.org/10.3233/978-1-61499-276-9-255