Hello class. In this video we will be talking with Patrick Chen who uses data to improve health
Hi, Patrick. Hi, everyone. My name is Patrick Chen and work as a manager population health intelligence at Martin Luther King Jr community hospital that space in south Los Angeles.
And my current role is to essentially innovate solutions through data analytics to make sure that we are
doing the best that we can to develop programs that can optimize population health and make sure that both our inpatient setting.
outpatient setting and community health are doing as well as they can be awesome. Do you mind sharing a little bit briefly of
Your training and any identities that you make sure identities, probably most well known one. I'm a first generation students, my family. My parents are immigrants from Taiwan and there are I empathize with the model the struggles that first generation students have especially in California.
My training. It started off really in public health undergraduate degrees in public health policy and I really shaped the way on how I think making sure that
When I'm designing solutions they make sense they they impactful Community Health inpatient settings outpatient settings and making sure we have that holistic image in mind what health is for a person. And so with that training. I then transitioned into analytics school
I did research at UC Irvine for an epidemiologist, Professor my background in general is really to file stats and epidemiology.
And so as I worked as an analyst, I started to work on projects that were data driven. And that's where I started getting a lot more exposure beyond the initial research databases of how to drive analytics in a hospital setting.
Then I transitioned to work as a performance improvement engineer there. I became more of a product manager and figuring out
How to implement certain projects. So a lot of times, research, it gives you all the information you need. But then you need to take that information and then figure out how best to impact the population with the information that you have what you've what you've learned from them really
Then I transitioned to work in a world where I started developing predictive models for anticipating health outcomes.
And this is where it was really important, especially as we all understand for public health setting preventive health is the most cost effective. So
Instead of waiting for a heart attack to happen we predict when a heart attack would happen. And then we send our resources and screenings, making sure that we
stayed in touch with a cardiologist, a primary care physician and it was something that could be both population health conscious and also financially as well.
In my current role. It's kind of a blend of everything I've done so far, honestly.
I work very closely with health IT to implement tech technological savvy solutions, making sure that we have the right amount of technology in place so that we can enable features like telemedicine mobile clinics, etc.
I work closely with clinicians. I actually report to the physician and we work on developing an understanding what is the most
At risk population that we should be addressing immediately.
For example, the mental health population, it's you know, it's right at the forefront of a lot of the public health discussions and so we are actively
Categorizing risks ratifying populations that we know what type of health programs would be the most appropriate for them and making sure that they're affordable as well.
That's awesome. It's, it's a lot of
A lot of analytical skills, but
In the context of
Health services and addressing what the community really needs right exactly you partnered closely with a lot of different organizations, because you can't do by yourself. Awesome. Perfect.
So can you share. I mean, you, you did share what you do. Can you share a little bit about why you are doing this.
Why am I doing this. There are there are a lot of reasons. Initially when I first went into public health, I was fascinated by the idea of allocation of resources and this is what really jumped started my my thought process on how can we create solutions that make sense on every aspect.
About every aspect I refer to things like, well, what's best for a patient was
You know, manageable for business and what makes sense for a community by itself. Hmm. And so this allocation of resources, ultimately, I think, personally, I feel like it's at the heart of every health related problem.
If you want optimal health. You can make $50 million dollars a year have a personal team of physicians seriously.
Cardiologist endocrinologists audiologists you know you have all of them, you know, right next to you, checking in with you every day. And that is probably the best possible health outcomes yet.
Promise. We don't all make $50 million a year. And so the idea behind this. Well, how do we scale that back and how can we optimize health for a population.
Or for an individual and you saw for the resources that we have available and all of that was from from, you know, I, you know, had found the family situations where they got really sick.
Money was tight insurance didn't cover everything we had to travel overseas for certain treatments and it was it was it was such an odd situation that started to get me just fascinated with public health in general. Yeah, that that
That makes sense, which you shared, you know, being the child of immigrants, like your parent or I don't know who it was, but the founding member having to
You know, because we don't have universal healthcare here go elsewhere to find affordable treatment. Yeah, because this is pre ACTA, keep in mind, so yeah.
It was just and plus didn't understand the system. So theoretically, yeah. I suppose we could have navigated it somehow. But they just
It's either that someone holding your 20 years is more comfortable flying back to Taiwan for treatment and staying here. Hmm. And from that allocation and resource.
personal crusade of sorts. Then I started realizing. Okay, so what do I need to determine which resources need to go where
And that's where I had to lose came into play because you cannot manage large populations without having a robust analytics process in place.
And I've got me into the coding part of it relational databases sequel programming understanding statistical models.
That would be able to enable that end goal of being able to allocate resources as best as possible because if
It's it's it's difficult when you when you sit there and you have a budget of X amount of dollars and have
You know, if you have a few million people that you need to you need to manage. What are you, what are you supposed to do and I feel like that's that's what happens a lot of public health professionals.
So we just do things one step at a time and figure out how to address one population. Yeah. Yeah. That's awesome. That's so exciting.
I'm like, extra excited because in my prior life I was a computer information systems major and so like hearing about all the the data stuff is exciting. Um, so I think you you already described your career path, thus far, are there any other
Jobs or any detours that you encountered along this pipeline or along your pathway.
Not really. To be honest, it's been more of a cramming two roads into one for most part for myself.
I'm a firm believer that you know efficiency as I work through allocation of resources efficiency became what kind of my thing.
You know, I started, I got certified Lean Six Sigma when I was working as a process improvement engineer for a hospital and figuring out what things made the most amount of sense worked out well for me.
But, quite honestly, a lot of my peers. They've done a variety of things and public health is still what they're passionate about. So
Any path as possible healthcare really uses just about every possible career from business to it to community health workers, you see everything really in the hospital. Cool.
Alright, so, um, we, we kind of talked about this briefly before we started this. But what area of public health, do you kind of see yourself in. Yeah.
So that's an interesting one. But really, I'd say it follows between bio stats and epidemiology and then broadly in terms of a professional
Title it's really falls under Population Health Analytics. And so in a normal academic public health setting up an analogy, and both sides are technically different, but really, everything is blended together here work in industry.
Where a lot of different hats. Oh, thank you. I know sometimes are explaining to students, the differences between Biostats and epi. It's kind of more about like okay well what
What are the tasks that they're doing. But then in a role like you have the kind of doing
It back. It's really important to just keep everything broad and learn as much as you can about everything, especially if you're early on your career.
Because you can branch off into just about anything. If you start up as a professional. I've seen people to exact same major as me.
Nurses work as doctors that work and feels like myself or this community health workers they end up going into hospital management Medical Group Management you conduct yourself.
So for for some of our students who are less familiar with public health because in this class, there are folks who are maybe
In more hard sciences, some folks who are in business. I think we might also have some criminal justice, folks. And can you briefly explain what bio stats is and what it is like very briefly.
Right so epidemiology really is about studying in our case how disease distributions happen across the population. And so we focus heavily on figuring out what is causing these conditions.
And ultimately that really comes down to, well, how can we fix it. We like as we like going upstream, go to the root cause. A good example we have
You know, we have cases where we have diabetes patients who are taking their insulin and then you're thinking, why is this patient listening. Is it, you know, we can't just blame them. Technically, but if you're not taking their insulin
Not taking the medication. What are we supposed to do.
And we find out later on that they are living in their car. They don't have a phrase, they don't electricity. What are they supposed to do this and really not their fault.
And so what we do, we buy them a cooler, they'll pay for electricity bills will do what we need to, and it makes sense.
From just about every perspective, you get them to medicine, you have a place to store it and you know we saved them from having to come into the ED with
Hypoglycemia it just, it just makes sense, but that type of knowledge will occur. Unless you are willing to dive deep and not blame population for what's happening to them.
Yeah. Yes. So perspective. Can you briefly describe biostats. Yeah, and I'm sure there's a formal definition for it out there, but personally I find balance has to be much like the formal role of a statistician
Where you dive for statistical correlations. You find out what is causing the net potentially genetic disorders.
And that's really where I stand for about stats. It's about the formal correlations mathematical correlations and epidemiology is about diving to see where the disease distributions are happening and why they're happening.
Thank you. So what do you think is the best part of your occupation what you've been doing for the past few years. Yeah, that's a great question because I enjoy my job, very much.
It blends. Two things I think that I'm mildly obsessed with and
I'll use the term mildly. I'm obsessed Obsessed, as I mentioned, with allocation of resources and I'm obsessed with analytics and so
When those two get tied together. It's about really figuring out, How good can you be at this role, how, how, how, how can you make this program be at its best.
make the most sense and expand it, because, you know, as I mentioned, you know, setting a physician team home with every person is probably the best
Best chance of optimizing you know their health outcomes and in the home with you know I like a social network. Can you imagine if everyone just had their own social network really could rely on parents that are always there, they would do so much better in every aspect of their health.
And so with all with that part of it with my obsession with allocation of resources and making sure things makes sense.
Then there's also the part of making things happen.
So, I consider it in a little in a little room in generating giggles myself about oh, look, this. Look how amazing I made this model. This makes so much sense. But if I don't figure out a way to implement it practically useless.
Information without project management implementation that will nothing's gonna happen, project management without proper
Without proper analytics, like, well, you don't know what's going to happen. You just set something up. And you hope that people will come to kind of play say
You build a hospital and people will come where our mindset here at the hospital is that we're, we want to inject resources into the community and oddly enough, we want us that people don't have to show our hospital.
Our leadership team is on board. It's not something you see very often for us.
We actually actively say we're trying to keep people who don't need to be in a hospital outside of the hospital because they, you know, they can
We don't want that to disrupt your life yeah gospel visit and it's it's impactful. It's one of the most difficult days of our lives. So, yeah. Yeah, that's a great
Thing that you pointed out, because a lot of times when people do think about hospitals, they think about how profitable. It is for, you know, patient beds to be filled and whatnot.
But it sounds like at MLK, and then, you know, maybe it is kind of more the history of that hospital. They are more concerned with the health of the population, rather than, you know, again, like filling their beds on making
The most money from their patients. Right. Exactly. Yeah. And so with all that, you know, with all of that analytics all these all this leadership support.
It lets us push the refer initiatives like developing Telemedicine for people in the community that need it so that people who can come to our hospital so badly need services.
That maybe don't need a con ambulance, they can phone and call so that they can get a console. If you have an iPad on these are all things that were evaluating and hopefully we can implement
Leadership is on board with it. And so all we need to do. Now let's figure out how to do it. So I think that's where it comes back to population health
Cool. So what on the flip side would be the most challenging part. Yeah.
Yeah, most challenging part of really has to do with making it all come together because, you know, it sounds like it's a step by step process. But in actuality, you end up having to flip back and you run in circles. Sometimes
Right answer. And if you don't implement in the right way, then people your impact their health outcomes really
You know, if I implemented predictive model for catching heart failure and let's just say you know you capture 90% of them will Chris. That's actually pretty good.
For a models like that's pretty good. Yeah, but the 10% or about the false false negatives happens to them. And so the most difficult part really is knowing when
You know those are really for me is figuring out how do I capture all those little nuances in a person's life.
And make sure that we keep that in consideration or development programs. So, you know, if we implement something like telemedicine.
It's like a or do we make. Do we have to make sure that they can at least for a small copay or do we just wave. The copay whatsoever. And trust me, building a business model where you waive all of health service fees.
Is not something that's easy to work. We're seeing as we're not public health agency.
Yet leadership is still excited about it. They still want to push through. And so we'll just have to work out how we put the business model where
And in this case, really, I wouldn't call it business model and most religious the model for community health
How do we go out and impact the 1.3 million members in our area that we serve. How can we, how can we just make their lives better.
And some of it comes down to. We're developing a food prescription program for our physicians
Healthy food we tie that with classes for them with the grocery store tours. They know the looking at, you know, they something, some of them might not have you can purchase the cabbage in their life. It's possible. Yeah, it's the area that we that we serve on it's it's extremely
medically underserved or not. There are very few physicians in the area. I'm not sure how many members of his audience really understand insurance payers.
But we have the most disproportionately Medical Payments and pretty much LA County we covered health insurance earlier on in the semester. So hopefully they will have what that is.
But yeah, and I think like sometimes it is
A different challenge right to be thinking about people from the data perspective, right.
And forget that there are humans attached to the other side. Right. And so, bring in that that human perspective of, you know, how is this actually going to impact them on a day to day basis and getting to know them and
Yeah, I think.
My question is do you have
Do you collect qualitative feedback from the patients that you're seeing are the people that are being supported by these programs. Yes, absolutely.
I pretty much all my projects. Our include some part of that component that I know I can't quantify technically
And have in conduct interviews and discuss them and I call them I referred them as like community engagement sessions.
So for example, if we want to design a health intervention for them or a program for them. And let's just say that program revolves having a mobile clinic.
We can design the clinic as much as we want. But if we don't make sure that we don't make sure that the community is on board with it in like how it looks.
It's accessible and sometimes it just boils down to, do they like the name of it all these little things that we take into consideration because that human aspect can't be ignored.
And that's something that I always keep in mind, especially since I run numbers so often.
You know, I worked in roles or have had to analyze hundreds of millions of data, data elements and making sure that well, even after I pushed her. What makes sense on a statistical level.
That I have the clinicians jump in, you know, we talked about. We talked through everything and I discussed a lot of saying that I'm working on these, you know, I don't work on this alone.
I work with clinicians on it with it on it with frontline staff. Pretty much every project that we're developing a health program for we engage nurses, physicians OT, PT audiologist everything they hear anything that's relevant to their field will make sure that
That's cool.
Awesome, so I'm
Kind of irrelevant to your
Your last point about making sure that it aligns with what
The patients are interested in and what they would
Support. Have you seen culture and language influence the services that are in your field. Yeah, definitely. Um, some good examples as well.
We have a pretty heavy Spanish speaking population and then the on to the west and our service area you have a lot of African Americans.
And so tailoring services to make sure that we meet their needs is a huge part of what we have to consider because
What will work for the Hispanic population might not work for the American population, it might not work for the Beverly Hills population like you have to take that into consideration and make sure that you make regional adjustments.
Which isn't the easiest to do as a hospital. It's not like we're at bright health system or we're covering different states. So they'll just tell everybody by state maybe by city.
We have to be mindful, the fact that we have housing projects just north of us we, you know, we're like half a mile away from where all the Watts riots occurs.
You know, a few decades back. And so making sure that we understand the context. And so we have our community Coalition's
We have a community benefits coordinator that is well versed and how the organizations around us are interacting what they're expecting because there are no matter what, when you open to a brand new hospital in a region.
Youth change the ecosystem for the better. I really believe so. But you've changed that ecosystem and you need to make sure that you stay in touch with your community leaders.
Because they're the ones that are leaving their day in, day out, we make sure that we align our, our purpose with there's that's huge. Um, on that note, can you briefly share with the students blended MLK hospital right I'm okay hospital.
Hospital opened in
May of 2015
was three years ago.
Three years ago. And so with the opening of a hospital, which is a very rare thing really, especially in California with all the hospitals closing for a seismic regulation, new, new laws.
The key part of that has kind of defined our hospital is how willing, we are to go out to the community and, you know, look for those root causes and solve the problems where they're occurring.
Part of that is that we see our hospital and the the estimations when they built the hospital were to see about 45,000 events a year.
Which is a pretty large amount for a hospital that is only 131 inpatient beds for context, you know if you guys have heard us the hostel. I think they have
They have, they have hundreds and hundreds of beds to like four or five times the size of us were built for 45,000 we are on track to see 120,000 ED visits potentially at its most, but we are definitely going to see see over 100,000 ED visits. It all depends on flu season.
So seeing well more than double what you are built for is a very difficult situation and being but it also kind of defines what the hospitals working towards prior to us either weren't very many hospitals in a region.
And so one of the old MLK hospital shut down when it was a different organization completely. I can do that in seven they went eight years without a hospital in their region.
And so now that we've read open. We're seeing these types of volumes are really there. They're just this
This indication that these people needed health care for the longest time, and they just weren't getting it yeah yeah that's that's a great point to
Make just because the hospital, isn't there, doesn't mean that the community doesn't need it exactly right. Yeah. Yeah, I think.
If I recall correctly, some of the students mentioned in one of their first activity is like their long term goals and whatnot. And I know folks were interested in like opening clinics and
In medically underserved areas. So, yeah, yeah. And sometimes that's a great point. Yeah, we realized that as a hospital by itself, we weren't able to do everything. So we founded a medical group started december of 2016
Work on you know a fair number of projects with them as well because it's a huge. It's a big part of population health
And basically, we're just planning on opening up clinics. And just so you know, filling definition deficit because based off of the estimates from from this group they spend that the south LA regional had a 1200 position deficit.
Or where to go. They don't have you don't have the clinics. Next, and sometimes they need a cardiology per minute tells them, it's beautiful my plate.
You're probably going to another hospital before the three to four months and
So we take the brunt of it afterwards because in Boston, the patient children.
Yeah, so
It sounds interesting to students being able to use this data to address these very real issues that we've been talking about this semester.
What should an undergrad do like, what advice would you give to someone who is currently still in the undergrad phase, if they wanted to pursue a career like yours.
Not exactly the same pathway, because we realized that everyone has different paths. But what are some things that they could take into consideration. Right. And it's really valuable to have different paths, for example.
I'm hiring people for our team, but is unlikely to hire someone with exact same backgrounds myself.
I am not expanding our knowledge. I'm not. It doesn't make any sense. In fact, I'm specifically looking for people with different backgrounds and myself because I need that extra perspective, I need people to supplement what it isn't already know and so my my general recommendation.
Before I dive into maybe specifics is if someone has a goal of a specific role. For example, you want to be the administrator clinic.
You want to be able to open up new hospitals probably rare but open up new healthcare facilities, maybe
Find people on LinkedIn, where you see that they have that role. Look at their track record and figure out how they got there first place and then you can start you can reach out to them.
Call them off to them. That's what I did, actually I call people that were, they were there like Chief Operating officers and Kaiser and Dave are still, they would still reply to my messages.
Pick up the phone, I was an undergrad student and talk to me for a good 30 minutes. Wow. And that, you know, normally as a consulting fee that be a few hundred dollars like
Wow. So that's my general recommendation for anyone that's pursuing a career shortly after undergrad.
And as for work and population health, you really can work and if from a variety of fields more variety of backgrounds.
If you're looking for more data analytics driven role, I highly recommend you get involved with the research.
Quantitative research ideally in epidemiology about SAS department, you just get some exposure on how to quantify health
That's a big one. Because a lot of times I'll get the question. Okay. Patrick, we want to do something about our empty population or psychiatric population or are suicidal slash almost population.
How do you define those. And how do we develop key measure lives in them. And that's all tied to research and so this is where I think
Getting some involvement with professors, they've been doing these for decades, they, they will have a lot a lot of information to share with you.
And then specifically dive a little bit more into software generally every role in any company, you are required to use software at some extent.
My recommendation if you all work in analytics.
Definitely be familiar with data extraction tougher. That's the only data warehousing honestly if you just learn sequel and probably good.
If you need to choose a specific dialect or version of SQL, I would choose MySQL, Oracle or SQL server, which is transact SQL for Microsoft version. Those are the two most prominent ones.
After that, that's I primarily use those as data extraction or logic building tools. After that you should get some exposure to statistical packages.
This is where your professors are really, really helpful because they likely use this because it's kind of hard to do research, you can quantify things with stats.
And so they're probably using some version of data or or maybe you can excel. My recommendation would be our or SAS, which is the I believe it's
Statistical analysis software SPSS is kind of out there too, but not too many people use it in industry. So I'd recommend between our
And SAS and Excel is kind of requirement for just about any role. It's kind of, you have to know it.
So I would recommend learning how to do a specific functions that are earning some basic code some queries, VLOOKUPs, index matches, things like that.
So yeah, so after I was research, honestly, you're pretty well equipped to do an analyst role and most people like myself that are hiring analysts we value that research position pretty well.
Because that's something that someone could get straight from we should physicians yeah I did undergraduate research. And so I was work. I think I did. I think it was four units.
I think required 12 hours a week, using the UC system. So it's like it's East Coast, it should be something similar to, to what we're selling here.
And then my recommendation is get some exposure to government public health agencies, so trying to intern for
Things like the Orange County Health Agency LA county health care agency. They have hundreds of roles, I believe, coming. They're huge. If you can't get a hold of that. There's still other nonprofits that you can join and they're honestly. Most people are looking for interns.
And so those are your best two options but technically you can also intern for a direct healthcare organization there us a little bit more involved.
Not require 15 to 20 hours a week, but if ever. The reason for you to not do something is because you're too tired of utilities to do it. Just, just
You know, you'd be surprised at how much you can accomplish in a 70 hour weeks appliances. It's, it's, it's, you know, it's cool, it's good. Yeah, yeah. Awesome.
So definitely a lot of great tips.
And thank you for mentioning specific software that students can use know that as students, you also have access to Lynda L y n d a
Through Cal State Fullerton, and you can learn some of these statistical packages as well as how to strengthen your Excel skills for free.
Without a graded class through Lynda, I'm just to jump in. Yeah, I think I've seen every one of those offers on it. So yeah. Fantastic. Yeah, yeah, yeah, great free resource. Um, no grade but you know if it makes you competitive for an analytics, Joe.
Has been in school together agree with a lot, which would want to work afterwards so spending it. You know, maybe an extra 10 20% of your time on developing certain skill sets.
Middle, make a huge difference in making yourself stand out from the honestly hundreds of applicants that companies go. Awesome. So with that, let's switch to a couple students questions so
Easy, right. Yes. So the first question comes from Pauline.
Hello, Patrick Well it sounds
Well, it sounds like with the position you are at, you must have a lot on your plate and big responsibilities keep working hard. A question I would like to ask what does your typical Dale. What is your typical daily routine at Martin Luther King Jr community hospital look like
And also, do you get to interact with patients in your position in question. It's big question.
Honestly, I think it's probably cliche to say that I don't have a daily routine. Honestly, my schedule is always packed. There's always a lot of meetings to attend to this was a lot of work in collaboration with other departments and so I think
The collaboration is the key part here. I can't develop all these things on my own. I
work closely with my with my boss Dr for hearing it was our vice president population health and he's a key part of developing all these clinical insights
So, you know, it's, it's something that requires a multi disciplinary team to address. And so my role specifically assault is to work with other people. I need to work with it.
I need to work with clinicians and I need to work with all of our analytics resources and developing resources for myself as well.
For example, I'm currently a project managing the implementation of our data warehouse with our director of clinical informatics and that is part of developing the infrastructure that's necessary to that we can develop all these insights and learn about our population some more.
The daily routine I you know roughly categorize it as I have a few meetings a day probably spend about 30% of my time doing analytics and a good 10 to 15% of just interacting with departments outside of meetings as well.
As for patient interaction.
I can meet I interact with community members, more often than direct patients, since I work directly in a hospital in patients, they have acute conditions that need to be taken care of and so
They're not exactly the people they be interviewing for community health initiatives yet i'd sometimes with their discharge process will talk to them.
They are definitely top of mind for several other programs when we're managing readmission rates. Make sure after people are discharged from hospital. They're not coming back with heart failure.
But international patients, it's probably more of international with Community Health members and coworkers, however, I know that it would be flexible for my role if I would like to conduct more work with the right in patient population.
I'm assuming by patients. You mean in patients, which are people who weren't directly hospitalized. But there are a lot of Ed patients that I see oftentimes are technically considered outpatient, even though they're in the hospital because they're not formally
Thank you. And the second question comes from Kathy.
Do you use SPSS when managing analytics and strategic operations or do you use different systemic programs.
Also. What tips do you recommend for beginners with navigating statistical programs. Since various data and features are overwhelming. So I know
Typically, students here. They do have access to SPSS. So I know you mentioned that in the industry folks I use it as much as from personal experience. I mean,
The one place I know user was the Orange County Health Agency based in terms of Health Policy and Research Department, I believe.
There was a former Naval Research and health policy, public health.
And they use SPSS. That was actually the first statistical packages that are using. It's just what the combination of all my recent experiences. I realized that no one else is really using SPSS, at least from who I worked with
It's definitely still relevant because the skills you're learning, there are still helpful for learning other programs. So two professors teaching it. Don't tell them as you say this, please.
Actually actually helped shape the framework of how I thought about data. It was my first time working with relational databases and was still very harmful.
However, if you're looking to hit those keywords or what those recruiters look forward then SAS, which is I say yes and are are your most common ones.
And then sequel, there's still a huge one to overcome any data analytics, because we can't get ahold of data, you can fix. So let me see if there's and then any tips for beginners.
That
Can go in a lot of directions, I'll be honest, my recommendation is to take a formal coursework. First, whether it's at the university or online or on Linda
And take it with a relational database language. First, if you want to get into the coding side of things sequel is much easier to learn than our because our is a little bit more
Object Oriented Programming sense, but it's just less English base baby yeah sequel is technically structured query language. I think back when you develop that IBM ages ago. And so a lot of its functions names. Makes sense. It will say things like, select
Birthday age name from a database. Whereas if you want to pull it in in Python or ours probably doesn't
So my recommendation is to start with sequel. That's the most common one, but taking classes makes takes you a long way because they'll teach you all the housekeeping items.
Basics. And then you'll be able to teach yourself from there. Maybe give yourself a pet project kind of work on
If you there are there are a lot of public data sources from CMS, which is the center of Medicare, Medicaid services.
So you can download their data sets and just practice on there and you can likely talk about that in an interview for if anyone would like help shaping that type of project.
Feel free to reach out to me, I'll share my contact information later with Aaron can let me
Awesome. Well, those are the two student questions that will be covering today and overall just wanted to say thank you so much for
Coming out and and having this interview and talking about all the wonderful things that you can do with data, not just analyzing it, and understanding it. But how do you turn this into tangible results that are impacting population health. So thank you so much, Patrick. Thank you for inviting
Bye
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