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Handheld-assisted field data collection for occupational risk assessment
David Vernez1, Jean-Michel Poffet, Adel Besrour
1Institute of Occupational Health Sciences, 1005 Lausanne, Switzerland. David.Vernez@inst.hospvd.ch
This study presents a handheld computerized tool for occupational health risk analysis. The system effectively supports field risk assessment and follow-up, demonstrating the adequacy of handheld devices for such tasks.
Area of Science:
- Occupational Health
- Health Informatics
- Risk Management
Background:
- Traditional occupational health risk analysis can be enhanced by digital tools.
- The Institute of Occupational Health Sciences (IST) employs a specific risk assessment methodology.
- Integrating technology can improve data acquisition and analysis in occupational health.
Purpose of the Study:
- To develop and evaluate a computerized handheld tool for prospective occupational health risk analysis.
- To serve as a complementary database tool for risk assessment.
- To assess the adequacy of handheld devices for field-based occupational health audits.
Main Methods:
- Utilized Pendragon forms software (version 3.2) for developing procedures on Personal Digital Assistants (PDAs).
- Implemented data acquisition strategies based on IST's risk assessment method, including systematic hazard lists and semi-quantitative scales.
- Developed a set of 7 modular forms for field audit needs and data transfer to MS-Access format.
Main Results:
- The developed handheld system successfully acquired data for occupational health risk assessment.
- Results indicate that handheld devices are adequate for supporting field risk assessment and follow-up activities.
- Minor drawbacks were observed, suggesting areas for future improvement.
Conclusions:
- Computerized handheld tools can effectively supplement traditional risk analysis in occupational health.
- The developed system demonstrates the feasibility and adequacy of PDAs for field data collection in occupational health.
- Further enhancements are recommended to optimize the tool's effectiveness and field applicability.
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