Episode #219. Your Biggest Threat Isn’t Inside Your Hospital, with Paul Russell, Chief Product Officer for Censinet

Summary

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Risk Never Sleeps Podcast

Episode #219: "Your Biggest Threat Isn’t Inside Your Hospital"

Guest: Paul Russell, Chief Product Officer, Censinet

Release Date: May 11, 2026
Host: Ed Gaudet

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Episode Overview

In this episode of Risk Never Sleeps, host Ed Gaudet sits down with Paul Russell, Chief Product Officer for Censinet, live at the Vive conference. The conversation delves into the criticality of third-party risk in healthcare, Censinet’s product innovations (especially in AI-driven GRC), and Paul’s philosophy on tech, product management, and personal growth. The tone is candid, engaging, and occasionally humorous, offering listeners both professional insights and personal anecdotes from Paul’s career.

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Key Discussion Points & Insights

1. What Censinet Does (02:00–03:20)

• Paul Russell gives an overview of Censinet’s mission:
  • Purpose-built for healthcare, Censinet helps organizations manage third-party risk, automate risk inventories, and focus on “what really matters.”
  • He highlights the complexity of healthcare’s vendor landscape and the inefficiency of manual risk management efforts:

    “They have thousands of third-party applications... and the breaches, ransomware attacks so often come through those third parties.” (02:16)

  • Censinet enables organizations to quickly identify critical risk across vendors and automate much of the evaluation and mitigation process.

2. The Evolving Vibe at Vive (03:47–04:24)

• Paul notes changes in the atmosphere of healthcare conferences post-COVID:
  • Less intimacy and connection, but deep conversations when they do happen.
  • He’s hearing industry leaders all facing the same challenges Censinet is designed to solve.

3. Major Product Announcements (04:31–07:59)

• AI GRC (Governance, Risk, Compliance) Expansion:
  • Censinet is extending AI-powered risk models beyond third-party risk to include diverse domains (e.g., finance, clinical, cybersecurity).
  • AI “agents” can now collaborate across siloed business units, discover rare but dangerous risk patterns, and automate cross-functional risk mitigation.
• Example:

  “Independently, these don’t look like real big risks... When AI can pull that information together... Oh no, what’s actually going on here is we have a critical vendor... about to become insolvent.” (06:06)

  • The implication: AI reveals early warning signs not obvious in isolation.
• Benchmarking Study Announcement:
  • Paul unveils an upcoming Censinet-led benchmarking initiative with organizations like the Scottsdale Institute, AHA, Health ISAC, Health Sector Coordinating Council, and University of Texas at Austin (07:53–08:05).
  • This study will compare healthcare organizations’ risk maturity and surface actionable insights using Censinet’s platform.

4. Paul Russell’s Background & Philosophy (08:10–13:48)

• Early Passion for Technology:
  • Explains fascination with “how things work,” early programming on VAX clusters.
  • Moves from software development into product management to expand his scope and impact:

    “As much as I could do as a developer, I wanted to do more... and it sort of pulled me out of the development world and put me into product management.” (08:56)

• Evolution of Product Management:
  • The fundamentals (“finding and delivering value to customers”) remain unchanged, but AI tools have dramatically accelerated ideation and iteration:

    “Our ability to iterate on ideas... is so fast by leveraging certain AI tools that we’re able to get the value a lot faster.” (09:55)

• Current Product Focus:
  • More automation; pulling meaningful insights from vast telemetry so that people spend time on “what matters.”
  • Human-in-the-loop AI enables scalable but trustworthy risk assessment.

    “Let’s make that agent so good and build so much trust with the end users... that they lean on that.” (11:06)

5. Paul’s Perspective on AI Adoption & Culture (11:28–12:00)

• Censinet meets customers “where they are” on AI adoption:
  • Some are ready for full automation, others require extensive AI governance.
  • Censinet’s system assists even risk-averse teams to safely accelerate AI evaluation.

6. Personal Insights & Work/Life Balance (12:00–13:48)

• If Not in Tech:
  • Paul would be “finding problems and solving them” regardless of role, with a side of musicianship (trombone, saxophone, etc.).
• Advice to His Younger Self:

  “Breathe. Take a deep breath... sometimes the right thing to do is just stop, walk away from it all and think for an hour.” (13:14–13:48)

7. Risk, Career Moves, and Personal Stories (13:50–15:31)

• On the Riskiest Thing He’s Done:
  • Not a thrill-seeker (“I have a father who was in the military... I never did that.”), but calls leaving a 13-year job for a new opportunity (with Ed) “really scary.” (14:38–14:51)
  • Anecdotes about multiple job offers, learning to negotiate (“You taught me that too. Did. I did.” – 21:00–21:04)
• Advice to Those Entering Healthcare or Tech:

  “It used to be you needed to learn the ins and outs of how to write code. Yeah. And now... what I think is more important is understanding how to structure the problem and how to structure the solution.” (15:43)

  • Empathy for the user and curiosity are foundational:

    “Put the tech aside... There’s an end user... you have to have empathy for your end users. You have to understand what problem they’re trying to solve. Solve that first.” (16:38–17:48)

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Memorable Quotes

• On What AI GRC Enables:

  “When you look at those [incidents] together... you notice, oh no, what’s actually going on here is we have a critical vendor in a critical function that’s about to become insolvent... all of a sudden you have to stop care.”
  — Paul Russell (06:06)

• Paul on Personal Growth:

  “With time and frankly with working with you, I’ve learned to just take a breath, not get so fired up in the moment and think.”
  — Paul Russell (13:19)

• Advice for New Technologists:

  “It’s really easy to develop unsustainable, unscalable, rigid solutions... If you can think about how to organize it and actually take a step back, you can produce much, much better solutions.”
  — Paul Russell (15:43)

• Empathy for Users:

  “You have to have empathy for your end users. You have to understand what problem they’re trying to solve. Solve that first.”
  — Paul Russell (17:47)

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Timestamps for Important Segments

• [02:00] — What Censinet Does and the Scale of Third-Party Risk
• [04:31] — AI GRC and Automation Announcements
• [06:06] — Example: Detecting Vendor Insolvency with Cross-Functional AI
• [07:08] — Benchmarking Study Details & Sponsors
• [08:18–09:05] — Paul’s Tech Background and Move into Product
• [09:11] — The Evolution of Product Management
• [10:03] — Future Directions for Censinet’s Product
• [11:28] — AI Adoption & Governance Realities
• [12:03] — What Paul Would Do If Not in Tech
• [13:14] — Advice to 20-Year-Old Self
• [13:55] — Taking Career Risks and Making Big Moves
• [15:43] — Advice to Those Entering Tech/Healthcare
• [17:47] — Empathy, Curiosity, and User Experience

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Fun & Personal Moments

• Eclectic Desert Island Albums:
  • From Billy Joel’s The Stranger to Hans Rott’s Symphony No. 1 and the Empire Strikes Back soundtrack—Paul’s choices reflect both breadth and deep musical curiosity. (17:54–19:04)
• Battle: Los Angeles Movie Recommendation:
  • Paul enjoys watching action sci-fi, with humorous banter about LA’s state post-alien invasion (19:19–20:27).
• Musicianship on the Side:
  • Paul plays trombone, sax, tuba, and discusses joys and headaches of organizing music with fellow engineer-musicians (12:16–13:10).

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Final Reflections

Ed wraps up with praise for Paul’s vision and leadership, and Paul reciprocates appreciation for Ed’s style and team-building, rounding out an episode rich in both professional wisdom and warm camaraderie.

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For more resources and risk management insights, visit Censinet.com.

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Transcript

[A]

Foreign.

[B]

Welcome to Risk Never Sleeps, where we meet and get to know the people delivering patient care and protecting patient safety. I'm your host, Ed Gaudet.

[A]

Welcome to the Risk Never Sleeps podcast in which we learn about the people that are on the front lines protecting patient safety and delivering patient care. I'm Ed Gaudette, the host of the program. And boy, we couldn't find anybody, so we had to start pulling Senseinet employees out of the booth to come and defeat. No, I'm just kidding. I'm just kidding. What a treat it is to have so many Senseinet folks here that I actually could pull people into the podcast.

[C]

Yeah, we have quite the team here this week. We do, we do.

[A]

And I am talking to the none other than. The none other than. I started to stutter a little bit. Paul Russell, Chief Product Officer for Sense of that.

[C]

Well, I'm honored to be here. You had a lot of people you could have chosen from, a lot of great people. And your first. Am I first?

[A]

Yeah, because you couldn't meet earlier. So I had a meeting.

[C]

I had some work to do.

[A]

Welcome to the program. First time.

[C]

Not my first time listening. My first time on the podcast.

[A]

There we go. Do you listen to the podcast?

[C]

I do.

[A]

Often?

[C]

I would say every couple of weeks.

[A]

Yeah.

[C]

Really have spoken about this. I have a little audio.

[A]

Yes.

[C]

Home. You do tap cards. And I have my Risk Never Sleeps podcast and I just tap it and it's playing through that.

[A]

All right, so then what you have to do is when you go home.

[C]

Yeah.

[A]

And you play the podcast, you need to do it with your little card and show the card. No, you need to do a post on LinkedIn.

[C]

Okay.

[A]

I can do that with the card and the picture.

[C]

Yeah.

[A]

That would be cool, wouldn't it?

[C]

Yeah.

[A]

Well, and wear your T shirt too.

[C]

Let's make it the COVID art. Okay.

[A]

Make the COVID art sounds good. All right, Paul, share a little bit about your current organization and your role for listeners.

[C]

All right, so I am part of Senseinet.

[A]

What does my boss. Not today, not right now. What does Senseinet do?

[C]

So Senseinet helps healthcare organization purpose built for healthcare. Helps them manage risk of third parties and their overall enterprise.

[A]

Nice.

[C]

Yeah. It's actually a really challenging problem for healthcare organizations because they have thousands of third party applications, medical devices, services that they use, and the breaches, ransomware attacks so often come through those third parties. And so they don't necessarily have a sense of how to protect themselves. And when they go to solve that problem, they throw Manual processes at it and it gets really, really complicated. So they struggle starting out with like what risk matters and then they start to dig into it and most processes get brutal. And that's where we come in. We help them just look at their entire inventory of vendors and products and start to hone in immediately. Oh, look at that. You can hear me snap. Hone in immediately on where the risk is. And then we help them dig deeper and automate those processes so they're not spending tons and tons of hours digging through things. They can get to what really matters.

[A]

These are recording studio level mics, Paul.

[C]

Yeah. I wasn't prepared for that. I didn't even know I was going to.

[A]

If you had your trombone or tubo, we could play.

[C]

We could.

[A]

Yeah. And we could record something.

[C]

Yeah, yeah.

[A]

We're going to get to that in a second.

[C]

Okay. We can get.

[A]

What do you do for sense of that?

[C]

I'm the chief product officer, so I'm responsible for the direction of the product, the strategy of the product. I run both the product management organization and our design capability.

[A]

And you don't typically come to these shows. So what's it been like the last couple of days at Vive?

[C]

It's been very different. The last time I was at one of these shows was pre Covid and it. It was a very long time ago. It was a very different vibe.

[A]

Yeah.

[C]

People got together more. There wasn't this distance and I am noticing at this conference there's a lot more distance between. Yeah, it's not as intimate as it used to be, but when we do have conversations, they're great because we're hearing those same sorts of challenges. And I've had a number of meetings with healthcare leaders that frankly, they have the problem that we solve.

[A]

Yeah.

[C]

And it's wild to hear them and then share what we do. And yeah, we solve that problem. This is our wheelhouse. We can help you.

[A]

And you've made a couple announcements here about product this week.

[C]

We've made a number of announcements this week. So we have one around AI grc, which is this capability of applying the model that we've built for AI agents in risk management for third party to other areas of your healthcare organization and being able to blend those agents together so that when you have a group that's maybe working in finance and a group that's working in clinical and a group that's working in cybersecurity, they're all probably working in silos. They all have their own tools and what ARGRC allows you to do is not just orchestrate and automate processes in those groups and make their lives easier, but then bring the information together so that the agents can interact with each other and notice patterns where there's risk that wouldn't be enough to pop in one group, but together you can give

[A]

me an example of a pattern that GRC AI can find.

[C]

So an example of a pattern would be you're working with a third party vendor and they reach out to finance and they try to change the terms. They want to get their dollars in 15 days instead of 30, which is a little different. That's not completely out of ordinary, but it's not a big deal. Then on the clinical side, you notice, oh, it's taking a little bit longer to get the results back. And then you start to notice on the quality side that the results. There are some issues with results.

[A]

Interesting.

[C]

And there are rooms where there are people that they'll have a quick conversation about this in the hospital, but it won't be all three parts.

[A]

So independently, these don't look like real big risks.

[C]

No, no, independently, it all looks like, oh, you know what, it's flu season we're having. Okay, they're overburdened. That's what's going on. Oh, they want net 30 to go to net 15. Well, it's a little weird, but, you know, it happens and we'll just approve that. When you look at those together, when AI can pull that information together, not only just make everybody's lives here, but pull it together, you notice, oh, no. What's actually going in on here is we have a critical vendor in a critical function that is about to become insolvent. And if that happens, then it's not just that. Okay, we'll go find somebody else. If you don't have somebody else lined up, all of a sudden you have to stop care.

[A]

Yeah.

[C]

You can't do the testing for elective surgeries. That needs to get done. You might have to shut down your ER because you can't test what you need to test. These are a big deal.

[A]

Yeah. So interesting.

[C]

It's pulling together information in health care in ways that it's not typically brought together so that you can identify problems before they happen.

[A]

What other announcements have you made this week?

[C]

We have a benchmarking study coming out. The benchmarking study we're doing in partnership with a number of organizations. Scottsdale Institute has been working with runos. I think this is our fifth year doing it. And what we do is we leverage the senseinet platform to capture information from a whole host of healthcare organizations. And we look at things like the NIST csf, we look at the NIST AI rmf, and we will dig into operational information. And what it allows us to do is create benchmarks so that each of these organizations can see where they stand in their maturity as compared to the others. And not only does a report come out, but they can actually see this in the product and use that with their.

[A]

And who are some of the other sponsors?

[C]

The Aha. I don't have this list off the top of my head.

[A]

I'm pulling it up to you. Health isac.

[C]

Yes.

[A]

The Health Sector Coordinating Council. The University of Texas.

[C]

That's right.

[A]

Austin.

[C]

Yep.

[A]

Oh, wow. These are great, great sponsors, Paul.

[C]

Thanks, Ed.

[A]

All right, a little bit about Paul Russell. How did you get into not just healthcare, but just tech in general? What's your background?

[C]

I've always been fascinated with how things work. And in college, which was an eternity ago, I got my hands on a computer and we were using these VAX clusters and stuff, and I just love getting in here. Yeah, it was so clean. Yeah.

[A]

Dcl, ET plus, and.

[C]

And then I. It just. It just spiraled. I kept doing it. I ended up during the tech. The early days of the tech boom, getting involved in software development. And then I discovered that as much as I could do as a developer, I wanted to do more. And it sort of pulled me out of the development world and put me into product management where I could have more influence over more of the product.

[A]

Yeah. And where were you when you did that?

[C]

Who was I when I did that? I was at Cisco Systems.

[A]

Yeah.

[C]

I went from developing to managing to then moving into product management.

[A]

And what's different about product management today

[C]

versus all of those years ago?

[A]

Sure, why not?

[C]

You know, the thing is, the core of product management hasn't changed. It's finding and delivering value to customers. That's the core of it. How we go about getting there has changed a lot. We used to have to spend a lot more time building ideas, guessing at ideas, because we were so time constrained to mock things up, to test them with customers. And what we found more recently is our ability to iterate on ideas in a very visual, tactile way that we can show to people and they can't even tell that it's not the product, which is its own set of problems and get feedback on it is so fast by leveraging certain AI tools that we're able to get the value a lot faster.

[A]

Yeah. What are you focusing on? Over the next couple of years.

[C]

Over the next couple of years. You mean incense in it?

[A]

Yeah. Okay.

[C]

We're not talking about the trombone yet.

[A]

Not yet.

[C]

Okay. I just wanted to be sure. So over the next couple of years, the real focus, if you look at what we've done in the product in the past, it has been about making the steps that humans had to do easier for humans to do. What we're focused on now is being able to derive information out of telemetry and out of the information you already have so that you can focus people on what matters and more and more automation of what goes manually. Tasks used to be. So we, as you know, we've built an AI agent for TPRM assessments. The focus of this is creating the highest quality assessments that identify the issues that really matter. Orchestrating all those steps while keeping a human in the loop so that the right choice is to leverage the agent instead of having people do it and let people make the decisions.

[A]

Yeah.

[C]

But not have to do the legwork.

[A]

Yeah. And what happens if they don't want it? They want to go all autonomous.

[C]

Well, that's our focus. Right. Let's make that agent so good and build so much trust with the end users because they just see it being right over and over and over again that they lean on that, because frankly, conducting assessments isn't where they should be spending.

[A]

So it sounds like you're able to meet customers where they are in their journey of AI adoption.

[C]

Oh, absolutely. We have customers and prospects. And some of them will say to me, I don't want to do any of this manually. Others will say, no, no, no, wait a minute. The AI governance team has to look at this and they pump the brakes and they don't want to do anything with AI until their AI governance committee has looked at it. And so we work well with them, but we also have capabilities that help those AI governance teams move through that process of reviewing things faster, which makes it easier for them to adopt technology and innovate.

[A]

If you weren't doing this job, what would you be doing?

[C]

I'd be finding problems and solving. I like finding problems, solving them.

[A]

Assuming you have all the money in

[C]

the world and you could do anything

[A]

you want to do, what would you be doing?

[C]

I don't know. I'm too busy with this job.

[A]

Oh, this is the trombone.

[C]

Oh, this is the trombone thing. I love to play music as Ed is trying to get me to talk about. I. I play the saxophone and the trombone tube on a bunch of stuff. I'm in A concert band.

[A]

Wouldn't you do more in music?

[C]

I think I would play more music, yeah. And some of the guys that I play with in the, in the band that I'm in now are retired and they basically have filled their week with playing in different bands. Yeah. I don't know that I would go that far.

[A]

Yeah. You don't love it that much?

[C]

I love it. But I'll tell you what, this solving problems thing we have a problem with, how do we organize all our music? And we have a bunch of engineers that I happen to meet up with last Wednesday and I'm like, we just need to organize these guys and gals because it was a group of them and solve this problem because it's torturing our director.

[A]

So you built something already with cursor.

[C]

I'm trying to not build it myself.

[A]

You go back in time and tell your 20 year old self something, what would it be?

[C]

Oh, wow. Breathe. Take a deep breath.

[A]

That's good.

[C]

That's what I would tell myself. I think with time and frankly with working with you, I've learned to just take a breath, not get so fired up in the moment and think.

[A]

Yeah.

[C]

When we take the time to think literally just quiet, no computer, pencil and paper, the problems start to get answered just.

[A]

Yeah. By thinking they're right there.

[C]

And we move so fast and AI is making us move so much faster that sometimes the right thing to do is just stop, walk away from it all and think for an hour.

[A]

Yeah.

[C]

That's what I would tell myself.

[A]

Riskiest thing you've ever done, Paul Russell.

[C]

The riskiest thing I've ever done.

[A]

Yeah. You're in that SEAL team, weren't you, back in the 80s?

[C]

No, I. I have a father who was in the military, grandfather who was in the military. I never did that. No.

[A]

I'm just.

[C]

Never claimed to do anything like that,

[A]

jump out of a plane ever.

[C]

No, not unless it was crashing. That's not really my thing.

[A]

Great.

[C]

My wife and son jumped out of a plane recently.

[A]

Did they?

[C]

They did. They did. Wow. Yeah.

[A]

That's incredible.

[C]

Yeah, they. And they thought it was quite a rush.

[A]

Yeah.

[C]

It wasn't crashing, so I can't see why you would jump out.

[A]

It's not okay.

[C]

No, I don't. I, I remember that. One of the scariest. This wasn't particularly risky, but one of the scariest things I ever did was

[A]

leaving, picking up the phone call from Mark.

[C]

Well, I was actually going to say that I was at the company for 13 years and I was very comfortable there. Leaving that company and going to work for you at another company, which is what ended up happening. Yeah, that was really scary.

[A]

The Starbucks meeting. The infamous Starbucks.

[C]

The infamous. On December 23rd. I happen in MC helmet every year.

[A]

When you basically said no, about 14.

[C]

Yeah, yeah.

[A]

You guys have tried to hire me before. No. Yeah. But I didn't.

[C]

No, it worked. You got me out there and. And it's been a great ride and

[A]

I've learned, I've been, I'm honored to work with you. And just you're incredible. Incredible product, incredible product leader, incredible product visionary. Yeah. All the things you do are incredible for sensing it. So I appreciate it. But hold on, this isn't about sensitive, so it's more about you, Paul. You. I gotta keep going here on the questions.

[C]

Sure, let's see.

[A]

Give any advice to someone coming out of school that wants to get into healthcare or tech. What would you tell them?

[C]

That wants to get into healthcare tech or tech and.

[A]

Or healthcare and. Or tech.

[C]

I think if you're in the engineering space, artificial intelligence is changing the way that we build software very, very, very rapidly. And what seems to be more important now, it used to be you needed to learn the ins and outs of how to write code. Yeah. And now what I think is more important is understanding how to structure the problem and how to structure the solution. Because it's really easy to develop unsustainable, unscalable, rigid solutions. AI will pump out a solution like that and snap. And again, boy, I like these mics. But if you can think about how to organize it and actually take a step back, you can produce much, much better solutions.

[A]

Yeah, that's incredible. And get the chance to understand how it works. Like you said, I like to know how things work. Be curious about the actual underlying.

[C]

Well, that's the tech side. You have to be curious, but you also have to be curious about the people and the problems you're solving. So put the tech aside, forget about how we're going to solve it. There's an end user. And I was talking to my team about this this morning. We had a screen we built and it was to explain something that was happening in a risk assessment. And they had put every piece of data on a slide out. Everything you could possibly want to know was on this screen. Unfortunately, it was everything you could possibly want to know was on the screen. And I asked the team the question, what problem are we solving for the user? And we had the answer. But the problem was we weren't solving that first. Yeah, we were giving them Everything. So they could do the math in their head to answer the question. Yeah. And so I think you have to. You have to have empathy for your end users. You have to understand what problem they're trying to solve. Solve that first. Yeah. And then you can use things like progressive disclosure to give them more. But a lot of tech people, they'll throw all of it right in front of the user and expect the user to think. And there's a. I think there's a book that I read once called Don't Make Me Think. Yeah. It's a great principle for user experience. Yeah.

[A]

But I love that. Yeah.

[C]

Gotta have empathy.

[A]

You do have to have empathy. All right, Desert Island. Five albums. What would you bring?

[C]

Billy Joel, The Stranger.

[A]

Oh, nice.

[C]

Okay.

[A]

A bottle of red.

[C]

Yeah. Hans Rot. Symphony Number One.

[A]

What the hell? Okay.

[C]

Who are you? Hans Rot was a buddy of Mahler's.

[A]

Nice.

[C]

Bruckner gave him a hard time. Basically looked at his symphony and said, this is garbage. You're garbage. You should get out of music. Hans Rot falls into a massive depression, ends up in an asylum. Yes.

[A]

Yeah.

[C]

In 1986, somebody digs up this symphony.

[A]

Yes. And it's brilliant.

[C]

It is mind blowing. It's mind blowing.

[A]

Yeah.

[C]

You can see where Mahler got some of his ideas.

[A]

Yeah, yeah, yeah, yeah.

[C]

So definitely that one. Harry Connick Jr. Live concert. It was actually a video. It wasn't a. An album. Yeah. But I just took the video and turned it.

[A]

That's fine.

[C]

Yeah. I would say Star wars, soundtrack to Empire Strikes Back, of course. John Williams. Yeah.

[A]

You'd have to pull. Yeah.

[C]

Toad the Wet Sprocket, Dulcine. Go listen to that all day.

[A]

Wow. That's okay.

[C]

Yeah. Wow.

[A]

Okay.

[C]

Interesting. Well, I was not prepared for that.

[A]

So clearly, you got the. The true. Most, like, eclectic mix ever.

[C]

No jazz in there, which is. Well, I guess you got this. Some hair.

[A]

Yeah, Yeah, a little bit.

[C]

Yeah. A little bit.

[A]

Movies.

[C]

Movies. I'll tell you what. We're in Los Angeles right now.

[A]

Yeah.

[C]

I'm sure all your listeners know.

[A]

They do.

[C]

And as I was flying in here, I was watching one of my favorite movies, which is Battle la. Battle Los Angeles.

[A]

Oh, is that Kurt Russell?

[C]

It is not that soldier you're thinking of. You're not.

[A]

Mike, I can't hear John Travolta.

[C]

He said, no, no, no, no, no. Not no.

[A]

Okay.

[C]

I know what you're thinking, and it's not that.

[A]

No, no, no. This is why we don't let the producer talk.

[C]

I don't know what the. The Actor. The main actor in this movie is basically aliens come in and they attack L. A. And he's a Marine and he's about to retire and they throw everybody at it, and his team hates him because they think he got a bunch of people killed a long time ago. And it's an absolutely brilliantly acted, brilliantly put together movie. I was watching it on the plane as I was coming into la and what I noticed is that the airport was in much better shape than when the aliens ran over it.

[A]

Yeah.

[C]

Movie. And actually, I was so early in the morning when I got here, I was thinking, LA is in really good shape. This place was a mess 20 minutes ago.

[A]

Okay.

[C]

All right.

[A]

Paul Russell. A pleasure, sir. Thank you for joining. You were a little nervous coming on.

[C]

I haven't been nervous about anything so long.

[A]

Yeah, it was pretty easy, right? Painless.

[C]

It was painless. And I gotta say, you tried to get me off this before, but you have an amazing leadership style. And what you have done with this team made it so that I can't. So I don't know.

[A]

We're gonna cut this out.

[C]

You know, I don't know if you caught this, but I went to work for Ed, and then Ed left and I went to.

[A]

I tried to hire him again, but I couldn' Afford him because he was too expensive.

[C]

Well, you taught me that, too. Did. I did.

[A]

Damn.

[C]

No, but you've built an amazing team. Hey, it's a pleasure to work with. And I'm talking with.

[A]

It's been a great week. It's been incredible to see people.

[C]

Right. It's just. I don't know if you're going to get Ralph in here. I've got Ralph.

[A]

I've got Cambry and Josh coming on, too.

[C]

Oh, Josh. Yeah.

[A]

This has been great.

[C]

I. I can't wait to hear the Josh.

[A]

All right, Ed Gaudette from the Risk Never Sleeps podcast. If you're on the front lines protecting patient safety and patient care, remember to stay vigilant because Risk never sleeps.

[B]

Thanks for listening to Risk Never Sleeps. For the show, notes, resources and more information and how to transform the protection of patient safety, Visit [e-mail] that's C-E N S I N E T dot com. I'm your host, Ed Gaudet. And until next time, stay vigilant because Risk never sleeps.