Pop-Up 2F: Understanding the Importance of Data

Silvia Maberti, PhD Pop-up Presenter
ExxonMobil Biomedical Sciences, Inc.
Spring, TX 
United States of America
 
Jennifer Shin, MHS, CIH Pop-up Co-Presenter
ExxonMobil Biomedical Sciences, Inc.
Annandale, NJ 
 
Tue, 5/21: 11:30 AM - 11:55 AM EDT
Pop-Up Education  
Greater Columbus Convention Center 
Room: Pop-Up Education, Exhibit Hall AB, Aisle 1300 

Description

OEHS professionals are key in the generation of data, from sampling design, sample collection, results of lab analysis, recording data in IH data management system, use of sample results in the collection year for exposure assessment and exposure risk management, regulatory compliance, etc. Many professionals limit the use of these data to their own site or company, and often for a specific, immediate purpose. However, IH exposure data is critical for epidemiology studies and development of OELs; exposure model development/validation/enhancement; read across/comparison of exposures/processes; developing internal or global IH best practices; inform risk evaluations; and even inform chemical management rules.
This talk will highlight the importance of contextual information that goes beyond use of the sample results for immediate risk assessment and management (e.g., compliance verification and/or control recommendations), and create awareness around the importance of understanding the boundaries of the study design and data contextualization for data utilization.

This session is not available for contact hours.

Learning Outcomes

• Recognize the wide range of applications and use of occupational exposure data beyond immediate risk assessment and management.
• Illustrate the importance of well documented contextual information to bring to life the true value of IH sampling data.
• Provide list of key contextual information that should be documented (at minimum)
• Avoid misuse/misinterpretation of IH sampling data
• Maximize the value of IH sampling data 

Content Level

Intermediate

Topics

Also part of the Virtual Program
Available as part of AIHA CONNECT OnDemand
Sampling and Analysis