{"title":"P-158 5P MEDICINE: A DIGITAL TWIN MODEL FOR HOSPITAL-BASED OCCUPATIONAL MEDICINE","authors":"Amen Moussa, Mohamed Marouen Hayouni, Ines Rassas, Irtyah Merchaoui, Charfeddine Amri","doi":"10.1093/occmed/kqae023.0675","DOIUrl":null,"url":null,"abstract":"Introduction Musculoskeletal disorders (MSDs) are a major health problem among dentists. The application of “Digital-Twin” (DT) in the field of occupational medicine can bring significant benefits in terms of safety, health, and process efficiency. The aim is to create a DT model of dentists in silico, which will serve as an accurate virtual representation of occupational hazards incurred during routine dental procedures. Methods and results This is a digital modeling study of bio-mechanical patterns in dentists at the Monastir dental clinic, conducted in 2023 at the occupational medicine and pathology department. Information concerning medical history, clinics, work activity data, and bio-mechanical and environmental data were collected during medical visits and observations carried out in real-time activity and through a dental work simulation. An analysis of the dentist’s movements and bio-mechanical constraints was performed. We chose root canal treatment in endodontics as an example to initiate our modeling. Discussion The medical “digital twin” of dentists with MSDs is a digital representation of specific health status, focusing on aspects related to musculoskeletal disorders. It is a specialized application of the “digital twin” concept in the context of health problems related to the musculoskeletal system. Conclusion This study provides a digital decision-support tool for the prevention of MSDs in the workplace. This innovative approach can help preventionists, particularly occupational physicians, to improve working conditions, and promote the health and well-being of workers while optimizing their productivity.","PeriodicalId":19452,"journal":{"name":"Occupational medicine","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Occupational medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/occmed/kqae023.0675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction Musculoskeletal disorders (MSDs) are a major health problem among dentists. The application of “Digital-Twin” (DT) in the field of occupational medicine can bring significant benefits in terms of safety, health, and process efficiency. The aim is to create a DT model of dentists in silico, which will serve as an accurate virtual representation of occupational hazards incurred during routine dental procedures. Methods and results This is a digital modeling study of bio-mechanical patterns in dentists at the Monastir dental clinic, conducted in 2023 at the occupational medicine and pathology department. Information concerning medical history, clinics, work activity data, and bio-mechanical and environmental data were collected during medical visits and observations carried out in real-time activity and through a dental work simulation. An analysis of the dentist’s movements and bio-mechanical constraints was performed. We chose root canal treatment in endodontics as an example to initiate our modeling. Discussion The medical “digital twin” of dentists with MSDs is a digital representation of specific health status, focusing on aspects related to musculoskeletal disorders. It is a specialized application of the “digital twin” concept in the context of health problems related to the musculoskeletal system. Conclusion This study provides a digital decision-support tool for the prevention of MSDs in the workplace. This innovative approach can help preventionists, particularly occupational physicians, to improve working conditions, and promote the health and well-being of workers while optimizing their productivity.