Podcast: How EHS leaders are using date to keep workers safer
Emily Cash is the director of global EHS and regulatory compliance for medical device manufacturer Tecomet. Emily is experienced in safety, security, and emergency management, along with numerous agency regulations. She's a former OSHA compliance officer who has maintained working relationships to stay current on monitoring the regulatory environment. Emily recently spoke with Dave Blanchard, editor in chief of EHS Today, about the new digital demands of compliance and efficiency that manufacturing companies are trying to deal with and also the role that connected data and systems can play in helping safety professionals better manage EHS.
Below is an excerpt from the podcast:
EHST: Let's talk a little bit about data, because that's kind of what we want to focus in on. So, I'll just start with a quick question. Quick question, but maybe not quick answer. What role does data play in your EHS program?
EC: It plays a large role in our EHS program. So, I think that when I started in EHS, we didn't look as much at things like leading indicators. We really depended on lagging data: last month’s incident rate, last month’s significant near misses, things like that. I think that data is taking on a much larger role in EHS because now, if we have so many near misses and then we have so many first aids, it's more likely that we're going to have this type of recordable. So, I really think that, whenever we look at our data, if we can look at it in real time and see what those leading indicators are, we could prevent an actual recordable or lost time injury.
EHST: I talk to a range of safety people from those who are extremely sophisticated and knowledgeable about all the technologies that they can be using to those who are asking, “Where do I start with this stuff?” So, the first big question would be how do you collect data, and what kind of data are you collecting? And then how do you manage it?
EC: I would say, like other manufacturers, we struggle with technology. We keep some stuff in shared spreadsheets. We keep some things on SharePoint. We have an EHS data management system, but other things tie into that as well. So, we have a lot of different operating systems as well as prehistoric spreadsheets that we all struggle to find.
EHST: So, given that as your situation, how do you get that data into a format where you can actually manage it and get some actionable insights? The whole idea behind data is you can collect it until infinity. There's always going to be more data. But how do you take the kernels, the little nuggets? Do you use an AI-based program, or how does that work for your company?