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COEH Webinar: Prevention of Noise-induced Hearing Loss

Title: Prevention of Noise-induced Hearing Loss

Speakers: James Craner, MD, MPH

This webinar examines the effectiveness of hearing conservation programs and interventions, regulatory compliance reporting, and best practices for hearing loss prevention. 

Objectives:

On completion of this webinar participants will be able to:

  • Understand the need for and barriers to objectively measuring of the actual effectiveness of hearing conservation programs and interventions.
  • Understand the purpose of a “Standard Threshold Shift” as a regulatory compliance reporting outcome, and its inherent limitations as a preventive medical surveillance metric.
  • Define audiometric database analysis (ADBA) and understand the reasons why this methodology has never been validated or adopted by industry or regulatory agencies.
  • Learn how a patent-pending method for statistically analyzing audiometric data to measure individual and aggregate trends in workers’ hearing, integrated into a health and safety compliance information technology system, offers a practical tool for employers to achieve Best Practices for hearing loss prevention.

CE Credit Available

Industrial Hygienists: This event contains 50 minutes hours of instruction and may be eligible for ABIH credits.

Nurses: COEH Continuing Education Program (BRN Provider # 12983) has approved this webinar for 1.0 contact hours

Refund Policy: To cancel your registration for the webinar, please send your written request to: coehce@berkeley.edu. You will be able to receive a refund of your certificate fee if you have not yet received a certificate of completion.

Remember to also register at REGISTER HERE

Code:17WEB0607
Dates:June 7, 2017    Check for other dates
Meets:W : 10:30 AM - 11:30 AM
Hours:1.00
Location:Online
Instructor:James Craner, MD, MPH
Fee:$30  Fee Breakdown

Be sure to check out the coupon discounts available for this course!

Notes:Remember to register at https://berkeley.zoom.us/webinar/register/68ef31ab2a36ef0166858a512be5123a.

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