Description
Industrial hygienists (IHs) rely on a mix of data and professional judgment to protect worker health and predict future exposures. Traditionally, these decisions were made working with observations and minimal data sets. But technological advancements in recent years have allowed the collection of a larger variety and volume of electronic data in a shorter amount of time. The IH/OEHS professional is now confronted with analyzing and managing data sets consisting of structured, unstructured, and semi-structured data.
The goal of information management is to collect information from the best source and make it available to everyone who needs it. Occupational exposure management benefits from access to; 1) work force data from personnel, occupational medicine and training; 2) workplace data from engineering; and 3) environmental agent information from purchasing. Similarly, access to exposure assessments inform an organization’s work planning decisions on needed controls, medical placement evaluations and training.
Join an experienced IH/OEHS professional and a data scientist to talk through the continually evolving tools and practices to manage and leverage big data to protect worker health. Topics to be discussed will be prioritized by responses to a community survey to best meet the needs of the IH/OEHS community.
Learning Objectives
After this webinar, participants will be able to:
- Exploit access to information from others to improve risk management decisions.
- Better support your organization’s health protection program by disseminating exposure assessment information to those who need it to guide work planning decisions.
- Explain where the various sources of data live in an organization, and how to tap into these data source
- Determine who acts as your organization’s data gatekeeper
- Leverage big data to improve your judgements and predictions.