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Inhalt bereitgestellt von Geoffrey Cann. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Geoffrey Cann oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
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Legal Drugs In The Workplace — What Could Go Wrong

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Manage episode 368128299 series 3488265
Inhalt bereitgestellt von Geoffrey Cann. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Geoffrey Cann oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Heavy industry has long known that intoxication and some kinds of work simply don’t mix. Digital technologies are helping overcome the risk of hard-to-detect intoxicants on the job site.

Worker safety is a VERY BIG DEAL in oil and gas. Moving equipment, pressurized vessels, high voltage, dangerous gases, hot surfaces, sharp objects, dark and wet conditions, drops from height, slippery surfaces, falling objects… the risks in the industrial workplace are manifestly greater. Employees need to have their wits about them at all times.

Relative to other substance challenges, alcohol is easier for employers to manage. Other impairing substances, such as cannabis, are much more difficult to pick up. Cannabis doesn’t behave like alcohol in the body. It binds to fat cells, and is detectable for weeks, well after the intoxication effect has vanished, whereas alcohol washes out of your system relatively quickly. Unlike alcohol, the amount of cannabis you consume, and the resulting level of THC in your body, is not correlated to your level of impairment.

What if we were able to supplement the industry standard law enforcement eye exam, normally administrated by a highly trained professional, but using digital technologies such as a camera, to capture eye behaviour in response to stimuli, and an algorithm that interprets the eye behaviour?

  continue reading

102 Episoden

Artwork
iconTeilen
 
Manage episode 368128299 series 3488265
Inhalt bereitgestellt von Geoffrey Cann. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Geoffrey Cann oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Heavy industry has long known that intoxication and some kinds of work simply don’t mix. Digital technologies are helping overcome the risk of hard-to-detect intoxicants on the job site.

Worker safety is a VERY BIG DEAL in oil and gas. Moving equipment, pressurized vessels, high voltage, dangerous gases, hot surfaces, sharp objects, dark and wet conditions, drops from height, slippery surfaces, falling objects… the risks in the industrial workplace are manifestly greater. Employees need to have their wits about them at all times.

Relative to other substance challenges, alcohol is easier for employers to manage. Other impairing substances, such as cannabis, are much more difficult to pick up. Cannabis doesn’t behave like alcohol in the body. It binds to fat cells, and is detectable for weeks, well after the intoxication effect has vanished, whereas alcohol washes out of your system relatively quickly. Unlike alcohol, the amount of cannabis you consume, and the resulting level of THC in your body, is not correlated to your level of impairment.

What if we were able to supplement the industry standard law enforcement eye exam, normally administrated by a highly trained professional, but using digital technologies such as a camera, to capture eye behaviour in response to stimuli, and an algorithm that interprets the eye behaviour?

  continue reading

102 Episoden

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