New Initiatives Aimed at Advancing OEHS Science & Practice

Launched in 2021 in collaboration with ACGIH, this initiative seeks to identify research needed to advance OEHS science to address gaps in effective and efficient practice and identify areas where current practice has not kept up with risk-critical scientific findings. We can then improve practice performance through advocacy for new science, and focused outreach, promotion, and training to facilitate implementation of current science. Submit any ideas you believe will advance the OEHS practice and enable practitioners to conduct their work armed with the latest methods and techniques that are based on sound science-based research. A new Advisory Group has been formed.

Launched in 2022 this initiative documents a concise, easy-to-use summary of the recommended principles of good practice for the professional practice of OEHS that incorporate best risk management practices whenever feasible. Principles of Good Practice are defined as minimum expected standards of practice and performance established for a particular profession or function. They differ from competencies, which pertain to what we know (e.g., CIH rubrics), to focus on the performance of what we do.

Launched in 2022 this initiative, reflected directly in our Strategic Plan under Integrity of Professional Practice, will define, and implement a continuous improvement strategy that will identify and address gaps between current and state-of-the-art OEHS practice. It builds upon the Principles of Good Practice initiative to identify and understand those barriers preventing the implementation of sound principles of good practice, to put in place plans to address those barriers, and empower practitioners to achieve best-in-class performance.

Launched in 2022 in collaboration with ACGIH, this initiative will drive a significant shift in OEHS practice from one where tools and activities that improve exposure judgment accuracy are rarely or sporadically used, to one where their use is routine and expected. This translates into greater use of AIHA’s suite of tools for improving exposure decisions, such as the SDM2.0™ (formerly known as the Checklist Tool) and IHMOD2.0 for qualitative judgments, and statistical tools, such as IHSTAT or the Bayesian decision analysis tool IHDA-AIHA, for accurately interpreting monitoring data. A new Advisory Group has been formed.