Wednesday, July 11, 2018 – Thursday, July 12, 2018 8:00 AM – 5:00 PM (Pacific Time)
Richmond Field Station
Conference Room 445
1301 S 46th St
Richmond, California 94804
Standard Registration: $495.00
Government Employees: $445.00
Student Registration: $250.00
Single-day registration is available.
Overview: The UC Ergonomics Research & Graduate Training Program, Center for Occupational and Environmental Health, the Nor Cal HFES Chapter and the ASSE present a 2-day course on the Revised Strain Index and NIOSH Lift Equation. This course includes seminars and lecutres with hands-on technique labs for participants to learn how to collect data, calculate scores, and apply them to surveillance, risk assessment, job analysis, and design.
Target Audience: This educational activity is intended for ergonomists, physical therapists, occupational therapists, occupational health nurses, industrial hygienists, industrial/mechanical engineers, safety professionals, and others involved in ergonomic exposure assessment.
Topics: This 2-day course provides hands on and didactic training on the Revised Strain Index and Revised NIOSH Lifting Equation. Applications for surveillance, risk assessment, job analysis, and job design/intervention will be explored. Participants will learn how to collect data and calculate the simple, cumulative, and composite SI/LI scores for both simple and complex tasks, and for job rotation. Collecting, quantifying, and interpreting data will be practiced in a hands-on technique lab, with a maximum 8:1 student-to-faculty ratio.
At the completion of this activity, the learner will be able to:
- Describe the components of the revised strain index and the revised NIOSH Lift Equation
- Demonstrate ability to consistently collect measurements/data as inputs to the RSI & LI
- Calculate the simple, cumulative and composite indices (RSI & LI)
- Use a problem based approach to applying the RSI and LI to surveillance, risk assessment, job analysis, and job intervention/design
This course is meant to help practitioners properly understand and measure task and job level physical exposures in the workplace using the latest technology and research available. Further, the course will teach practitioners how to interpret quantified and predicted exposures in terms of increased risk for MSDs.