Latest / Becker’s Healthcare Podcast / Jennifer Worthy, Executive Vice President of Revenue Optimization at Healthcare Outcomes Performance Company (HOPCo)
Transcript
- 0:02- There's a small circle of people who truly
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- 0:22- Becker's fourteenth annual CEO and CFO roundtable
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- 0:39- Join us November second through the fifth in
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- 0:49- upper right.
- 0:51- This is Andrew Pasc with the Becker CFO
- 0:54- and revenue cycle podcast. I'm thrilled to be
- 0:56- joined today by Jennifer Worthy, executive vice president
- 0:59- of revenue cycle optimization at Healthcare Outcomes Performance
- 1:02- Company in Phoenix, Arizona. Jennifer, it's a pleasure
- 1:04- to have you on the podcast today.
- 1:07- Right. Thanks for having me. Yeah. And before
- 1:09- we begin, can you take a moment to
- 1:11- introduce yourself and share a little bit about
- 1:13- your role and your background in healthcare?
- 1:16- Yeah. Sure.
- 1:18- So, obviously, Jennifer Worthy, EVP at HOPCO. I've
- 1:21- been in revenue cycle for about,
- 1:24- three decades now.
- 1:25- And in my current role, what I really
- 1:28- get excited for every day is is that
- 1:30- HOPCO is a leader in value based care
- 1:33- models across the country.
- 1:35- Of course, we have the traditional practice management
- 1:38- and clinic model, couple of ASCs as well
- 1:40- as hospital, but,
- 1:42- I really feel that we are on the
- 1:44- cutting edge of bringing all of the value
- 1:47- based care delivery models out into the community,
- 1:51- and we do a great job at it
- 1:52- every day.
- 1:54- And so what are three of the top
- 1:56- trends you're following in health care today?
- 1:59- So the first one that I am watching
- 2:01- right now is this widening
- 2:04- technology gap between payers and providers.
- 2:07- It's actually stunning yet it really, has not
- 2:11- just come out of nowhere. Right?
- 2:13- We've all seen payers spend years now investing
- 2:17- in automation and predictive analytics.
- 2:19- We know that they are now increasingly
- 2:21- using AI driven claim management tools, and yet
- 2:25- as provider organizations,
- 2:27- we are all still solving denials with more
- 2:29- people and more work queues, and our our
- 2:32- own billing platforms themselves are having a hard
- 2:35- time simply keeping up with the technology on
- 2:37- the payer side. So I think it's becoming
- 2:40- more clear just how unsustainable
- 2:42- of a model this is. So I'm really
- 2:45- paying attention to what is the size and
- 2:48- the skill set of the RCM team look
- 2:50- like as a result of this technology?
- 2:53- How is it being operationalized
- 2:55- to at least close that gap or start
- 2:58- to keep somewhat of that same pace, to
- 3:00- what payers are achieving?
- 3:02- Because I will say, like, right now, it
- 3:05- feels like it's a chasm. And for too
- 3:08- many of us, we just have to catch
- 3:10- up with the lead that the payers have
- 3:12- had for a really long time.
- 3:15- The the second trend that I'm looking at
- 3:17- is or paying attention to is workforce transformation.
- 3:20- I've been doing revenue cycle work, as I
- 3:22- said, for about three decades.
- 3:24- I remember when these jobs were really competitive
- 3:27- and really prestigious, and they had a great
- 3:30- career path. I mean, I'm proof of that.
- 3:32- Now what we've been talking about for years
- 3:35- is RCM staffing shortages, and I really do
- 3:38- think that we're having
- 3:39- the wrong conversation when we still say, how
- 3:42- many people do we need?
- 3:44- We need to redesign the work. Every position
- 3:46- that is retiring right now or moving on
- 3:48- out of revenue cycle really needs to be
- 3:51- looked at from an angle of,
- 3:53- can I do what this person was doing
- 3:56- differently in a more value added way?
- 3:59- There simply are not enough revenue cycle professionals
- 4:02- entering the industry anymore to keep up with
- 4:04- the increasing payer complexity
- 4:06- that we are seeing.
- 4:08- And I talk about this a lot in
- 4:10- my writing on LinkedIn, and that is that
- 4:12- the labor arbitrage
- 4:14- model is increasingly ineffective.
- 4:16- If you measure ROI on that model, you
- 4:19- know the struggle.
- 4:21- The future definitely isn't fewer people, but it
- 4:24- is people doing higher value work while technology
- 4:28- handles the repetitive
- 4:29- tasks. So,
- 4:31- the last trend I'm really paying attention to
- 4:33- is just a fundamental
- 4:35- mindset shift about revenue cycle and where they
- 4:38- fit into organizations
- 4:40- and strategic priorities.
- 4:42- Historically, revenue cycle is built around this chase
- 4:45- to collect model. We wait for something to
- 4:48- go wrong. We know it's going to go
- 4:49- wrong, and then we assign teams and people
- 4:52- to fix it.
- 4:53- But, the organizations
- 4:55- that are moving towards prevention as a mindset
- 4:58- are really on the front end of what
- 5:01- the revenue cycle needs to look like.
- 5:03- It's not really just like so much about
- 5:06- how much you can,
- 5:08- recover from chasing it as much as it
- 5:10- is. Like, how much can you just prevent
- 5:12- at this point?
- 5:14- Yeah. And you said that you have three
- 5:16- decades of experience,
- 5:17- in revenue cycle. So I'm really curious what
- 5:20- you think the biggest change is,
- 5:23- you know, over that period of time.
- 5:27- You know,
- 5:28- it was in revenue cycle before it was
- 5:30- even called revenue cycle.
- 5:33- We didn't look at billing
- 5:36- activities and patient financial
- 5:39- experience
- 5:40- as a
- 5:41- from before a patient even enters
- 5:43- your organization
- 5:45- to
- 5:45- what a $0 balance on their account looks
- 5:49- like.
- 5:50- So when, what I think, first of all,
- 5:52- has driven the most change has been I've
- 5:55- lived through a lot, first of all,
- 5:58- EMR adoption,
- 6:00- the Affordable Care Act, the explosive growth of
- 6:04- Medicare Advantage Plans that, you know, started in
- 6:06- the early two thousands. So that really created
- 6:10- this patient experience
- 6:12- model where patients really started getting smarter about
- 6:16- the care they chose,
- 6:18- and how they ended up paying for it.
- 6:20- And we then built models around that. And
- 6:23- I think that that's been the biggest shift
- 6:25- I have seen is that it wasn't any
- 6:27- longer, like, I'm a biller. I have this
- 6:30- super bill, I put these codes on, I
- 6:32- enter it, I'm sort of like one widget
- 6:34- in, one widget out.
- 6:35- It's now we've built our entire
- 6:38- revenue cycle experience around the patient and even
- 6:41- to a degree payer behaviors.
- 6:44- Yeah. And, so now we'll go back a
- 6:47- bit to the AI arms race so to
- 6:49- speak.
- 6:51- You know, AI is getting more sophisticated and
- 6:53- deeply into the revenue cycle, you know, both
- 6:56- the payer and provider side. How do you
- 6:59- see that continuing to evolve over the next
- 7:01- few years? And can,
- 7:03- you know, providers, you know, lessen that gap?
- 7:07- Yeah. I mean, I think that we are
- 7:10- in the middle of the AI arms race.
- 7:12- Most organizations
- 7:14- just probably haven't realized it yet.
- 7:17- Again, going back to payers, they have been
- 7:19- increasingly
- 7:20- sophisticated in their technology,
- 7:23- and we're seeing that technology
- 7:25- move upstream
- 7:26- into managing utilization and identifying claim edits,
- 7:30- automating reviews pre and post payment now, and
- 7:33- they are really heavily,
- 7:36- optimizing
- 7:37- payment integrity programs through AI. So where providers
- 7:41- can't respond is to just keep hiring more
- 7:43- collectors. The economics just simply don't work.
- 7:47- So I think that what we are gonna
- 7:49- see over the next several years is a
- 7:51- shift
- 7:52- from AI as an efficiency tool in RCM
- 7:55- to an actual strategic
- 7:57- necessity.
- 7:58- And I'm not alluding to the fact that,
- 8:00- like, you need a lot of AI tools,
- 8:03- but you do need to have the right
- 8:04- ones that embed
- 8:06- AI into RCM operational
- 8:08- decision making.
- 8:10- I am personally moving away from what dashboards
- 8:13- are telling me in the retrospective,
- 8:16- to using intelligence to tell me, like, what
- 8:19- my attention needs right now. And I'll just
- 8:22- maybe give a a good example is we've
- 8:24- talked about clean claims rate in revenue cycle
- 8:28- as like a performance benchmark. Right? But what
- 8:31- clean claims is typically said without AI is
- 8:34- where all the fields filled in correctly.
- 8:37- I define
- 8:38- AI now as
- 8:39- how can that clean claim predict whether I
- 8:42- am going to get paid or not with
- 8:44- an emphasis on before we even submit the
- 8:47- claim. Clean claim to me now means complete
- 8:50- acceptance for adjudication into the system. And I
- 8:54- think that that is where AI really has
- 8:56- a powerful force in rev cycles. So, you
- 9:00- know, lastly, I'll just say on this topic,
- 9:03- payers are living and breathing in documentation and
- 9:06- revenue cycle inputs.
- 9:09- Health care seems to still be living in
- 9:11- what's happening after both of those things. And
- 9:14- we really need to shift our mindset to
- 9:16- embrace that revenue cycle is a strategic
- 9:19- function of our financial health and latch on
- 9:22- to making sure that we have participated in
- 9:25- AI,
- 9:26- operationalizing
- 9:27- it.
- 9:28- Yeah. And as, you know, AI becomes more
- 9:31- deeply embedded into workflows,
- 9:34- what do you think the skills are that
- 9:35- are gonna define the next generation of revenue
- 9:38- cycle leaders?
- 9:40- I think the next generation of rep cycle
- 9:42- leaders are gonna look very different than the
- 9:45- last generation.
- 9:46- Historically,
- 9:47- leaders,
- 9:48- have built careers around being an expert in
- 9:51- a function like coding or AR or collections.
- 9:54- And some of us have made very great
- 9:57- careers that have spanned decades around that, but
- 10:00- those skills matter. However, they they also, I
- 10:03- wanna say, matter in the adoption of the
- 10:06- AI that we are looking at. And you
- 10:09- have to be a leader that is a
- 10:11- systems thinking leader. And if you can't extract
- 10:15- yourself from being that sort of,
- 10:17- siloed
- 10:18- expert,
- 10:19- I think that you are really going to
- 10:21- struggle because the RCM leader, really, of the
- 10:24- next generation is going to need to be
- 10:26- that
- 10:27- excellent,
- 10:29- you know, part strategy, part operational thinker. They're
- 10:32- going to need to influence technology outcomes rather
- 10:36- than sitting back and letting it happen to
- 10:37- them. So I see them really as being
- 10:41- important
- 10:41- internal translators
- 10:43- of what all of the technology is, but
- 10:46- also needing to bridge in internally
- 10:49- departments that don't necessarily speak the same language.
- 10:52- You know, an RCM leader has got to
- 10:55- be able to translate outcomes to a finance
- 10:58- team as digestible
- 10:59- as it can be to the operations team
- 11:02- as well.
- 11:03- And I'll just say too that I think
- 11:05- the teams themselves are going to evolve.
- 11:07- I do not believe that AI is gonna
- 11:09- replace any RCM professional, but I do think
- 11:12- it is going to elevate all of us.
- 11:14- And instead of spending time and manually touching
- 11:18- accounts, we're really gonna see a team that
- 11:20- becomes
- 11:21- heavily skilled because they are working on things
- 11:24- like exception,
- 11:26- handling and root cause analysis and payer strategy.
- 11:30- And that is really value added work.
- 11:33- Yeah. Are there any other areas where you
- 11:35- think that human judgment and leadership will become
- 11:38- even more valuable?
- 11:39- So I think that human judgment is going
- 11:42- to it still has it still plays its
- 11:45- part. And it plays its part when you
- 11:47- start seeing it's, you know, we've even seen
- 11:50- the headlines around it. Right? Like the battle
- 11:52- of the claim bots. You're still going to
- 11:54- need people, and and that's why I really
- 11:56- emphasize exception handling is where the human judgment
- 12:00- piece is going to need to come in.
- 12:02- You're going to see accounts that reach either
- 12:04- a certain threshold or a certain age that
- 12:06- you're going to need to put that person
- 12:08- in the middle of it. I think human
- 12:10- judgment absolutely has a part still in payer
- 12:13- contracting and the payer relationship side. It obviously
- 12:17- is still going to very heavily influence
- 12:19- physician education and clinical documentation improvement programs. So
- 12:24- again, I think that if we can move
- 12:26- our revenue cycle professionals into those roles, that
- 12:30- is where human judgment is needed most, and
- 12:33- it's not on pushing buttons and fixing dirty
- 12:38- Well, thank you so much for joining us
- 12:39- today, Jennifer. It's been a pleasure speaking with
- 12:41- you, and I look forward to connecting with
- 12:43- you again soon. Alright. Great. Thank you. Have
- 12:45- a great day.