 Live from San Francisco, it's theCUBE, covering Informatica World 2016. Brought to you by Informatica. Now, here are your hosts, John Furrier and Peter Burris. Hello everyone, welcome back to theCUBE. You're watching exclusive coverage of Informatica World 2016. This is SiliconANGLE Media theCUBE. It's our flagship program. We go out to the events and extract the signal from the noise. I'm John Furrier, your host with my co-host and head of research at SiliconANGLE Media and GM of Wikibon Research, Peter Burris. Our next guest is Mavis Garlinghouse, who's the system director of Business Intelligence at Citrus Health. Welcome, crisis health, welcome to theCUBE. Thank you. So 34 years you've been there. You've seen the movies over and over as late. Was it Groundhog's Day up until what point? I mean, tell us what your environment's like at your office. So, you know, actually I'll start with a funny story. When I first started working there, I was on a typewriter. So if you think about how times have changed and today, you know, we're doing computing with Informatica, with Teradata and all of the large technologies, you know, healthcare itself has come a long way in embracing the technologies that truly make a difference to be able to get the analytics to where it needs to be. But we're still using QWERTY keyboards. That's very true, yes, very true. So that was the day when you had to ship boxes out and call a document record company. They'd shuttle it back out. The patient's lying on the table. All this healthcare's being done manually. Absolutely. And then, of course, the mini-computers come in and the rest of the history. So I got to ask you, what were some of the seminal moments in your career where you saw the inflection point where data started to really take root and share with us some of the notable surprises that made you take notice of that? I think that one of the ones was when I was working at just a single facility within Christus and the request that started coming in from the various executive team members. A lot of times, I just wanted to see financial data. They just wanted to see how their world was doing. And then all of a sudden, people started asking the questions of trying to correlate between financial and clinical. When you start seeing things like that, it's like, ah, people are starting to think differently about data. And so, and it grew from there. I think that now. When was that? That was probably about, I would say, around 15 years ago. And you start really, these questions start coming up. And so, actually, to be honest with you, that was what brought me into IT was just the ability and the thought that the more technology and embracing technology to get the data to where it needs to be. I've always been a data geek. That's what I've enjoyed being around. Because to me, it tells the story. It is, if you really want to know an answer to something, if you get enough data, you can truly get that answer. And then it's with the journey that kept going and going until finally, working now with the CMIOs of the organization and really getting those complex questions such as, okay, we're implementing computerized physician order entry. Will it make a difference in the way patients are cared for? We actually did a program for that. We actually went and collected the data and we found that it makes a difference. And so, those are the things that's exciting to me to be able to know that you're a part of actually changing the face of healthcare because of the data. I mean, I think M.D. Anderson's another good example of using data to truly make a difference in a patient's life. But even, you don't have to cure cancer to make that difference. You can make it in a lot of other ways. So, you mentioned prior, went on. The biggest surprise was, you know, when you started seeing the data explosion over the years, now you're seeing data at the center of the value proposition. Right. Talk about how that's changed efficiency, but also innovation where you can really get better care. So, efficiency obviously assumes some better patient care outcomes. But more importantly, that can be mostly bottom line and more efficiency with care. But what other things on the innovation side where you saw the data drive, patient care and outcome? Absolutely. I think on the efficiency side, just quickly, you know, being able to write an order that was illegible from a physician to going toward that physician is actually entering the order. He knows it's accurate. There's no middle man. It goes directly in the system and the care is given. I think that is, from an efficiency perspective, that's one of the biggest things that's happened in healthcare on our side with just that whole physician patient care. When you think about some of the other things that we are seeing is the, you know, I think the internet of things is going to change. Because now, how many of, you know, everybody's wearing fitlets. They're all collecting their data. And I think that as you start looking at population management, which is where really healthcare is going, all those data points and being able to collect them and bring them together is going to be so critical because it's all part of that patient's story. It's all part of how that patient will either go for care or need care that they may not even need today, know they need today. So proactive, preventative kind of things. Absolutely, yes. Versus stockpiling the old metaphor of the emergency rooms are packed up with flu patients. Right. Kind of thing. Absolutely. But it also leads to presumably less invasive or lower cost forms of research. Right. And actually collecting an enormous amount of data across a lot of different behaviors and a lot of different tendencies. Right. And use that to discover and then roll out and broadly diffuse new treatments. Right. Because at the end of the day, the goal is not the physician, it's the goal is the wellness and the patient health. It's all about the patient. So at what point in time are you already starting to see a demand to start bringing not only patient data in, but also create services out of big data that goes to the patients and advises them about things that they can do. Is that starting to happen? To some degree. I mean, we are really starting to do more and more population health management, which is exactly that. I think the challenge you have is getting all the data together. It's not just from one EMR. It's not from a couple of EMRs. If they go to a pharmacy, you need that data. If they go down the street to a different place, you need that data. And so bringing it all together and getting the picture of that patient, then yes, absolutely starting to organize that data in a manner that a nurse or a coordinator can call that patient and start helping them through their disease management or managing any of their other conditions that they have. One minute. So here's an interesting, let me tell you, if you foresee this happening at some point in time, we talk a lot about big data being used as, or geolocation data being used to make offers so that people are driving down the roads and saying, oh, fast food restaurant. At what point in time do you think healthcare providers will then send compensating messages and say, don't go eat at that restaurant because it's bad for your health? Well, that's an interesting concept. I haven't heard that, but that is, I mean, if you're really starting to try to manage, I, you know, maybe one day. I think people, though, want to make their choices. I think that'll be a really tough sell. Inform choices. Yes. And I presume that part of the job that you've received for the, for Chris and others to pursue is to provide those options that really will help them understand what their choices are and what the outcomes are likely to be. Absolutely. And I mean, we have seen programs where we've worked with restaurants and graded their food heart healthy to where they can have those informed choices. I think the calories on the menus and things help patients as well. But absolutely. I mean, and when we start really managing their care, absolutely, you're going to want to inform them of places and things that they should either stay away from. I'm not sure about messaging, but I could see that happening. Well, one of the things that's interesting, John, is that we've talked a lot today about the, about moving from early adopters to mainstream and the healthcare business is interesting because the healthcare business made a run at expert systems, which was in certain respects, one of the original forms of big data. We didn't quite get there, whether it was the technology or whether it was the doctors and physicians didn't want to adopt it or whatever else it was. How is this round of effort learning from that previous set of attempts and making it likely that this round is going to be more successful in healthcare? In my mind, I think it's that you look around and the other industries have been successful. And I think there's a lot more success stories today than what they were when that first round happened. I also think the tool sets have matured. I mean, master data management alone has brought a lot of technology advancements to where we can manage data and normalize it. I mean, today in our organization, we're actually normalizing our data before it goes out to third parties. We would have never thought about that 10 years ago. I mean, it just wouldn't have been, we wouldn't have had a way to do it. So when you think about the tools such that Informatica brings, it provides that tool set that you need to be able to be successful instead of having to build it all from your own and then everybody builds it differently. That's the other piece that we've struggled with is everybody's done it differently. And so to really be successful, you're going to have to have those standards and ways of connecting that you honestly know that data that comes in is actually being mirrored with like data and it's not that garbage in, garbage out concept. And data that goes out is under control. Absolutely, yeah. I got to ask you on that thread because you brought up a good point. A lot of things you see 10 years ago, you might, or 10 years ago, you didn't foresee today. I got to ask you about, we talked about HIPAA, Y2K. Those were seminal moments in healthcare in general because they were like one, one was doom and gloom. Right. And one was obviously regulation. But ransomware is big right now. I want to get your, you mentioned that previously before we came on the air. The new tactic is to target healthcare providers and IT folks because they kind of have this security and regulatory data that's sensitive. Absolutely. And yet there's a huge orchestrated effort for attacking and then holding you hostage. Right. How are you guys, one, are you aware of that? Absolutely. And how are you preparing for it? And nothing I want to share all the secrets of how you're protecting yourself. But that's something that's on everyone's mind that's what looks like the biggest Y2K-like problem on everybody these days. Absolutely. Healthcare. It is. And it's, you know, it's really, and yes, we are preparing for it. You know, I think that you never want to think about it happening to you, but we all know that there's no, no matter how many precautions that you take, there's always that risk. For us, the thing is to have a plan and to be able to address it quickly and do what we need to do to try to mitigate as quickly as possible. And I think that's really all you can do. I mean, you know, it's unfortunate when you see the incidents that are occurring today, but especially when you think about it being patient data, but it is, it is happening. And I think to put your head in the sand and say it'll never happen to me or we're too strong to do, absolutely. It's the wrong thing to do. And our CISO, you know, says, you know, we'll do as much as we can. But the thing is that you have to be prepared in case it happens to you. Also they target people the weaker ones too that aren't prepared. So the ones that put their head in the sand actually make themselves more vulnerable to the ransomware. Do you actually practice your responses to those types so that you're not, you know, you're trying to mitigate the threat, but you're trying to especially focus on mitigating the damage. Do you practice response across the corporation, across the group so that you can, so that the right people are making the right decisions at the right time? Yes. And as we are, and in fact, right now we're in our final stages of putting our plan together. And one of the pieces that we will do is a dry run which we always do for disaster recovery. We practice absolutely, because just because you have a role to play within when something happens, if you don't go through that role, it's hard to know that you really will know what to do if the day happens. And so we will, we do actually do that. And the basic systems, or not basic, are the systems that you're putting together for analytics, is that going to inform that process? It doesn't today, not saying that it won't in the future, but we do have different tool sets and we are trying to bring a lot of things together, but that has not been something that we have put on the radar just yet, but I feel like in the future it probably will. And I always say, be ready for it. Assume security breaches, the ones that assume it are going to be more prepared and avoid it. Absolutely. I got to ask you about the dollar savings. And this kind of gets into more of the cost savings, but again, reduction of cost is a big part of some of the efficiencies you get with managing all the different data and there's a lot of redundancies, as well as providing the care and the outcomes. But what specifically can you share about some of the savings you guys had operationally? I know there was some talk about over a million dollars of savings and also any improvements on contract management areas, such as managing vendors and managing relationships? Absolutely. And so when we first started our journey, we had data about suppliers and supplies in multiple systems to be able to manage to even know, you know, obviously lots of different spellings of vendor names. And so it was really hard to bring it all together to really see what you had at the end of the day. And so when we started our program, it was to bring together all that data within Informatica, within MDM. And so what we actually started seeing and measuring was anytime we paid light charges and really starting to manage that, watching the trends and the data. And so we found some things like contracts that there was absolutely no way we could ever pay it on time. And so, you know, we went back and renegotiated. The amount of labor that it took to manage all these Excel spreadsheets, you know, one of the individuals shared that used to it was hours and sometimes days and now it's the click of a button. So, you know, those are the things that we really realized early on with this program. And I think that we continue to see value in it as we have, you know, the better you can bring your data together and look the trends, that's really what brings the value. What's the coolest thing you've seen happen with data that you could share, that you could put the audience? Could be something crazy, could be something really critical, could be something medical, something personal. What have you seen in your work environment where you go, oh my God, data and made that happen? That's a really good question. I see a lot of amazing things, but I, to me, it's, I saw a program once that actually was alert on Sepsis with patients that walked in the door. I mean, everybody knows that Sepsis is one of the things that we're all trying to battle against. And the application actually took the data real time as it was coming from lab, from vitals, and it would actually send an alert that that patient was potential septic. And to me, that's what's amazing about healthcare, and that's what's amazing about data. Because the real time nature of the data had a direct impact to the savings lives. Saves lives. And to me, that's what it's all about. I mean, financially, yes, it's great. We have to make money to keep our doors open. But when you can honestly say that you saved a patient's life because of the data and the way that you've set up technology to me is just bottom line, the best thing that you can do in a day. Or limit their suffering. Absolutely, yes. And look, healthcare is a community thing. It is. And being able to draw upon the insights of other patients, the insights of other physicians, the insights of nursing staff, and the people who are actually providing the care, and rolling that all together into something that can help the patient, the patient's family, since the family's crucial to the overall direction that healthcare takes. Again, it comes back to this notion of at what point in time does your hospital become distinguished by the data services it provides as much as the in-hospital care? Yep, that is so true. And I do think that you will start seeing that. When I first started this journey, when I went to conferences, I didn't see a whole lot of healthcare. Now you're seeing more and more healthcare. I don't know how many calls I've had over the last three to five years talking with people that are asking about our journey and what we've done. It's exciting to talk about it because it's not that I want to be the only one. I want everybody to do this because who knows? One day, me or my family may be in their facility and that's what's important. And the compute power is also applying compute power and algorithms to new things that have never been battled before. You're seeing the genome, the cancer. So I want you to share, this is really a great story. I love the story, saving lives is great. For the folks that are watching that are in healthcare that want to save lives that have the passion that you do, what advice would you give them around their environment? What they could do to help? What they could do in their company? How they can interact? What they could do to advocate for certain policies or things that you've seen that works? What would you share? We're solving certain problems. Where would you start? What would you share, those folks? I think the first thing that you have to ask is, what do we want to solve? You have to have a business case. And I think that if you can put a good business case together around saving lives and then going and trying to sit down and talk with those individuals who have the power to make those decisions. Not going to say every time that you go, you're going to get a yes, but I think you keep going back. And if you're in the position to actually choose systems or to make decisions around data, the question I would ask is, how can you not move forward with something like this, knowing that it will make such a big impact on the patients that walk through your door every day? I mean, I just don't understand to me this is a no-brainer because you can either continue to focus on the financial side of it only or truly embrace the fact that data is going to make a difference in how care is given, eventually how we are paid. And if you're not prepared for that, you're just, it's going to be hard to survive in this market. Yeah, and the market will go move around you. Now, thanks so much for sharing your awesome insight, your enthusiasm, your passion. Thank you. And saving lives is a wonderful thing. Congratulations on your journey. And thanks for sharing that with us here on theCUBE. Appreciate it. Thank you very much. You're watching theCUBE here live at Informatica World 2016. I'm John Furrier with Peter Burris. You're watching theCUBE. We'll be right back. Hi, this is Christa Vanny from D-