WEBVTT

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No problem.

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And are we starting with the article?

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I don't remember what we just said.

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Yeah,

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I was going to do the article first.

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Yeah, perfect.

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Yeah.

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All right.

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Most health care businesses have a number

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they're proud of, a number they show off,

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a number they track,

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a number they think proves they're doing

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good work.

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Larry's argument in his latest article,

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that number might be completely

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meaningless.

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Today,

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we're talking about one of the most

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visible metrics in health care.

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Google reviews, five stars.

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Zero outcomes?

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Welcome to The Operator,

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a show about running better healthcare

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businesses, not from theory,

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from people actually doing the work.

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If you're responsible for patients,

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people, or performance, this is for you.

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Larry, welcome to your show.

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Well, thank you, Jerry.

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Thank you for hosting my show.

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Well,

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my job is to sort of set you

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up.

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This is the last part in a series

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that you've been doing.

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And if people want to go back to

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it,

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we'll give the link to the sub stack

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that they can view as well as the

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articles on LinkedIn.

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But first,

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why did you decide to do sort of

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a series on metrics?

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What about that made you say,

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I'm going to dedicate several weeks of my

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writing to just metrics in general before

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we get into the specific Google reviews?

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Yeah.

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What we tend to do in an operating

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business and health care platforms is we

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tend to get very routinized on certain

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metrics that are like sacred cows.

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They're the belief that they are the most

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important ones.

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We've had vast changes in our operating

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environment.

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If you think of sort of the post-COVID

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hangover days,

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then you had shortages and you had all

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the headwinds of reimbursement.

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and all the things around high inflation.

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And the business models have had to

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change.

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You've had to adjust.

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And so what we tend not to do

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in health care operations is rethink,

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challenge our assumptions.

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And say,

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why are we continuing to measure that?

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And then the objective becomes the

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measurement rather than the activities and

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the behaviors that really get the

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operations flowing in the right direction.

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And so I've tried to on each one

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of these metrics doesn't mean,

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as I point out in the articles,

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that you shouldn't be measuring them,

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but you should be understanding how

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they've shifted over the years.

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And the whole area around good hearts is

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a bias that we tend to default in

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over time if we're not careful.

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Yeah.

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When the metric becomes the measure,

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it fails to measure what matters is the

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thing that kept sticking with me.

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That makes sense.

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I mean, you're Russian.

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If you want to go back and read

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it,

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the Russian nail factory sort of

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highlights that pretty well.

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When you tell me to gamify,

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when you gamify a metric and you put

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my salary on the on the line for

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that,

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guess what I get really good at hitting

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that number is the letter of the metric

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or the spirit of the metric.

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Well,

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I hit the letter of the metric and

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that's what gets me the paycheck.

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Just to that point, years ago,

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I'm going back into the late eighties.

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I had a few clinics and one of

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my clinics,

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we used to measure no-show cancellation

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rate and used to incentivize the front

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desk person for a lower no-show

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cancellation rate.

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And interesting,

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she went on maternity leave and she was

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a wonderful intake coordinator

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receptionist,

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what we called DOFI at the time,

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Director of First Impressions.

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And all of a sudden,

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our no-show cancellation went sky high.

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And I started wondering,

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how is that the case?

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Well, as it turns out,

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you can game that number.

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It's no different than the Russian nail

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factory.

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Somebody cancels,

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you just take them off the schedule and

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put them somewhere else and you never were

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able to see what really...

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happen there.

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And so gamesmanship working around it,

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our tax laws are the absolute, you know,

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personification of good hearts law,

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everybody works around the tax laws to try

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and save on their taxes.

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That's normal.

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Yeah.

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So we have to, you know,

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we have too many tax law issues,

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and good heart issues in operation.

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And so my challenge is somebody who's in

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the field every day operating is for us

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to challenge those assumptions.

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And you can tell which side of the

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argument someone is on with taxes when

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they call it a write-off or a loophole.

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If it's a loophole,

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you can tell they don't agree with it

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right there.

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All right, so let's jump into this.

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If someone logs on Google website,

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somewhere where ratings are being

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tabulated and shown off,

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what is a four point nine star four

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point out of five star rating actually

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tell you about specifically a health care

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business yeah honestly it tells you that

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they're good at asking that's not nothing

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not what most operators think it is you

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know four point nine means your patients

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felt well enough to leave a review that

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had a positive enough experience to give

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you close to a five star

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does not tell you about the patient who

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dropped off after the two to three visit

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cliff in physical therapy or in dental it

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doesn't tell you the patient who didn't

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show up for the second visit which

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oftentimes in dental is the most important

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visit from an economic standpoint it

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doesn't tell you about your twenty two day

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wait period for a new evaluation it

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doesn't tell you whether your functional

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outcomes improved or whether your hygiene

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appointment rate is collapsing

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It's a sentiment snapshot from a very

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self-directed audience.

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And in health care,

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that audience skews very grateful,

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skews compliance,

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skews towards the people who finished

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care, the people who like you.

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The four point nine is real.

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It's just not the whole story.

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It might not even be the important or

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really key elements of the story.

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Yeah, you want to gamify that number.

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Don't point out where to scan the QR

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code to leave a review to somebody who's

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disgruntled, right?

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Although you can look at the other side

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of the argument,

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which is sometimes when people have a bad

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experience,

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they're more likely to go rate you and

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leave a review versus the people who are

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the silent, happy,

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satisfied customer or patient.

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Exactly.

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And it has some meaning.

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It's just not all that much important from

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the day-to-day operations.

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Right.

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So at what point did healthcare cross the

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line from measuring experience to

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pretending experience equals quality?

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Yeah,

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so we gotta go back a little bit

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in place of time.

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In the, call it the late eighties,

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early nineties,

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there was this new thing that happened in

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healthcare called functional outcome

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measures, SF-II, the SF-XXVI, short form,

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long form, XXXVI,

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which is the healthcare quality of life.

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And so we started to say,

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what do outcomes mean?

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And outcomes were defined as days,

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dollars, utilization, functional outcome,

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And on top of that,

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we had patient satisfaction,

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later became patient experience.

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And so the combination of these dollars

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are sort of utilization-driven data,

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clinical functional outcome-driven data,

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and all the things around the experience

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became sort of the three distinct domains.

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But what happened is over time,

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we've tried to simplify it.

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You know,

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we're in business and operations.

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We're always trying to make the complex

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simple from an operation standpoint.

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That's a great thing.

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However,

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sometimes when we make things so simple,

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we destroy what the animal that we're

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trying to create is.

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So the moment we ran out of better

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alternatives and stopped admitting it,

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clinical outcome measurements in the most

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outpatient settings is inconsistent at

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best, absent at worst.

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Functional tools do exist, photo, promise,

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all the things are on Medicare, you know,

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PSFS, for example, but adoption is not,

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you know, is not evenly put.

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And at times,

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we tend to only do it on our

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best patients or those who complete care.

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And so you have to be really,

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really careful.

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And so what fills that volume,

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whatever is visible and Google stars are

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everywhere.

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And so let's use Google stars.

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I had series a couple of weeks ago

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about Net Promoter Score,

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a lot of similarities here.

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They're on your profile,

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they show up in the listing,

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they're a number, numbers feel like data.

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So we promote them,

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not because anyone made a deliberate

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decision about it,

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but that four point nine stars equals

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clinical excellence.

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Somehow or another, we conflated that.

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But because the infrastructure for

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measuring actual clinical excellence

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wasn't there or wasn't fulsome or wasn't

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complete, the proxy became the point.

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And that's always how it happens.

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We make a proxy a conclusion,

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and Google stars are now that conclusion,

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unfortunately.

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Yeah.

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It's funny that you bring up four point

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nine stars.

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And I think I know why.

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To me, five feels too perfect.

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It feels like I can't trust that because

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it's nothing's perfect.

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So four point nine feels as close as

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you can get.

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Really good.

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But obviously there's some real in there.

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So it matters.

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Isn't that funny how that like we've even

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even on the receiving end said five's too

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good.

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I don't trust it.

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A four point eight that four point nine

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that feels perfect.

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More authentic.

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Feels more authentic.

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Right.

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Right.

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So you mentioned like sort of the

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pre-COVID, right?

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So are operators still chasing Google

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reviews based on a version of the

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algorithm that doesn't actually exist?

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Are we still having a twenty sixteen

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mindset in twenty twenty six?

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No, that's absolutely right.

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A lot of them are.

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And that's really what my research started

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to show,

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that the old mental model was pretty

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simple.

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More five star reviews equals higher

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ranking equals more patients.

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So it was all driven by how high

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on the Google

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best search engine, period.

00:09:19.932 --> 00:09:20.514
It's interesting.

00:09:20.533 --> 00:09:22.174
We're switching now from search engine to

00:09:22.355 --> 00:09:24.395
AI, LLL.

00:09:25.355 --> 00:09:25.996
And for a while,

00:09:26.037 --> 00:09:29.879
the volume of reviews was the dominant SEO

00:09:29.979 --> 00:09:30.339
signal.

00:09:30.360 --> 00:09:32.020
And this really is the main teaching point

00:09:32.061 --> 00:09:32.681
of the article.

00:09:33.020 --> 00:09:34.461
So that logic held true.

00:09:34.501 --> 00:09:36.903
But the algorithm has gotten way more

00:09:36.962 --> 00:09:38.884
sophisticated, as they always do.

00:09:38.945 --> 00:09:41.446
Technology always outpaces everything we

00:09:41.485 --> 00:09:42.287
do in health care.

00:09:42.907 --> 00:09:45.067
proximity, relevance, behavior signals,

00:09:45.087 --> 00:09:46.730
how people interact with your listing,

00:09:46.769 --> 00:09:48.291
whether they click, whether they call,

00:09:48.691 --> 00:09:50.432
these matter now as well.

00:09:50.631 --> 00:09:52.133
So it's the behavioral elements,

00:09:52.212 --> 00:09:53.833
not just the star elements.

00:09:54.455 --> 00:09:56.596
Review recency matters more than raw

00:09:56.635 --> 00:09:57.135
volume.

00:09:57.476 --> 00:09:59.998
So if you took a hundred reviews,

00:10:00.457 --> 00:10:02.200
it's like golf handicap system.

00:10:02.240 --> 00:10:04.441
It's the five top most recent ones that

00:10:04.500 --> 00:10:05.461
really matter.

00:10:06.001 --> 00:10:08.325
So the operators who ran an aggressive,

00:10:08.365 --> 00:10:10.447
let's get to two hundred review campaigns.

00:10:10.626 --> 00:10:12.769
I still see this all the time.

00:10:12.849 --> 00:10:15.052
And they sort of stop.

00:10:15.552 --> 00:10:16.893
They're potentially losing ground to a

00:10:16.952 --> 00:10:18.335
competitor with eighty reviews.

00:10:18.375 --> 00:10:19.615
So that was kind of like I got

00:10:19.676 --> 00:10:20.096
two hundred.

00:10:20.116 --> 00:10:20.756
You got eighty.

00:10:20.797 --> 00:10:21.778
So therefore, I'm better.

00:10:22.119 --> 00:10:24.421
In fact, we are competitiveness.

00:10:25.302 --> 00:10:27.863
around google stars surpassed our

00:10:27.883 --> 00:10:29.764
competitiveness around clinical excellence

00:10:29.803 --> 00:10:31.264
and doing the right thing for the patient

00:10:31.365 --> 00:10:33.485
right you know the we got we got

00:10:33.546 --> 00:10:36.347
diverted by all this um so chasing the

00:10:36.388 --> 00:10:38.489
number at one time made sense now it's

00:10:38.649 --> 00:10:41.311
it's it's table stakes and the operators

00:10:41.350 --> 00:10:43.152
treating it like it's a competitive moat

00:10:43.312 --> 00:10:45.413
are you know probably optimizing for a

00:10:45.493 --> 00:10:47.533
version of local search that's already

00:10:47.573 --> 00:10:49.475
moved way way past that right you know

00:10:49.514 --> 00:10:51.035
by the way at least in physical therapy

00:10:51.615 --> 00:10:53.155
Why do we care about local surgery much?

00:10:53.176 --> 00:10:54.596
Don't we have we have plenty of patients

00:10:54.616 --> 00:10:56.596
now, plenty of volume.

00:10:56.616 --> 00:10:56.876
Yeah.

00:10:56.976 --> 00:10:58.996
You know, really optimizing,

00:10:59.037 --> 00:11:00.217
as we talked about last week,

00:11:00.278 --> 00:11:03.298
optimizing that volume and not the churn

00:11:04.357 --> 00:11:05.499
is really, really important.

00:11:05.519 --> 00:11:07.239
So keeping the patients you have and what

00:11:07.259 --> 00:11:09.479
we're saying, milking your own cows first,

00:11:09.538 --> 00:11:10.639
you have those patients.

00:11:11.220 --> 00:11:12.740
Make sure you're getting the treatment

00:11:12.779 --> 00:11:15.559
completion on them so that you can focus

00:11:15.600 --> 00:11:16.561
attention on there.

00:11:16.600 --> 00:11:18.480
And that's where that, you know, really

00:11:19.360 --> 00:11:20.562
being extremely,

00:11:20.662 --> 00:11:22.923
extremely intentional about visit two and

00:11:22.942 --> 00:11:25.303
three and showing value there rather than

00:11:25.403 --> 00:11:26.524
routinize the visit.

00:11:27.184 --> 00:11:28.485
What you're basically saying to the

00:11:28.524 --> 00:11:29.706
patient is you don't need to come in

00:11:29.725 --> 00:11:30.907
anymore because we're going to do the same

00:11:30.927 --> 00:11:31.687
thing every time.

00:11:32.106 --> 00:11:32.586
Yep.

00:11:32.746 --> 00:11:35.408
I can actually hear someone creating a KPI

00:11:35.448 --> 00:11:36.089
just for that.

00:11:36.129 --> 00:11:37.490
But isn't there one?

00:11:37.610 --> 00:11:38.309
Isn't it churn?

00:11:38.330 --> 00:11:39.791
So when you don't have real clinical

00:11:39.870 --> 00:11:42.532
outcome data, what does fill that gap?

00:11:42.871 --> 00:11:44.753
What is the right thing or the better

00:11:44.812 --> 00:11:46.153
thing to measure?

00:11:47.408 --> 00:11:48.210
Yeah,

00:11:50.552 --> 00:11:52.154
so what happens is we use Google Deck,

00:11:52.395 --> 00:11:53.116
Google Stars,

00:11:53.417 --> 00:11:55.919
and Net Promoter Scores because leadership

00:11:55.980 --> 00:11:57.863
needs something to say in a board deck.

00:11:58.583 --> 00:12:00.304
And this is a different topic for another

00:12:00.345 --> 00:12:01.485
time, but I think, you know,

00:12:01.544 --> 00:12:04.485
PE backed platforms and even private

00:12:04.546 --> 00:12:07.927
practices do not have the right type of

00:12:07.966 --> 00:12:08.706
board members.

00:12:08.746 --> 00:12:11.067
They have people playing by old rules of

00:12:11.107 --> 00:12:13.129
an old game, a, you know,

00:12:13.168 --> 00:12:15.808
call it college before we professionalize

00:12:15.828 --> 00:12:17.529
through revenue share and NIL.

00:12:17.570 --> 00:12:19.831
That's the type of people that are on

00:12:19.931 --> 00:12:22.250
boards right now is this new game that

00:12:22.291 --> 00:12:23.792
took place post COVID.

00:12:24.692 --> 00:12:26.754
You show me an operator who's really done

00:12:26.815 --> 00:12:28.475
well the last few years and you've got

00:12:28.535 --> 00:12:30.778
an operator because they they're the ones

00:12:30.798 --> 00:12:32.721
who've dealt with incredible amounts of

00:12:32.780 --> 00:12:34.383
inflation at the supply level,

00:12:34.442 --> 00:12:36.325
inflation at the compensation level,

00:12:36.365 --> 00:12:38.047
shortages of your suppliers,

00:12:38.606 --> 00:12:40.089
all of those kinds of things.

00:12:40.950 --> 00:12:42.770
And so we use Google stars and net

00:12:42.812 --> 00:12:44.854
promoter scores for those board members

00:12:44.894 --> 00:12:46.315
because we want to fill a board deck.

00:12:46.335 --> 00:12:47.035
It sounds cynical.

00:12:47.135 --> 00:12:49.398
but it's accurate organizations under

00:12:49.457 --> 00:12:51.460
performance pressure from either PE

00:12:51.539 --> 00:12:51.840
owners,

00:12:51.879 --> 00:12:53.841
from franchise benchmarks from year over

00:12:53.922 --> 00:12:56.283
year need visible proof of quality.

00:12:56.644 --> 00:12:59.527
And so this proxy of Google stars is

00:12:59.626 --> 00:13:02.889
now what your compliance is showing up as

00:13:02.950 --> 00:13:03.350
quality.

00:13:03.370 --> 00:13:04.552
And if you can't pull functional

00:13:04.572 --> 00:13:06.232
improvement data, very hard to do,

00:13:06.273 --> 00:13:06.693
as you know,

00:13:07.114 --> 00:13:08.575
If your outcome tool adoption is

00:13:08.654 --> 00:13:09.355
inconsistent,

00:13:09.375 --> 00:13:10.875
it's very hard to be consistent.

00:13:11.196 --> 00:13:13.517
If your discharge documentation is a mess,

00:13:13.756 --> 00:13:15.758
very hard to have that consistent as well

00:13:16.077 --> 00:13:19.740
because most patients don't read their end

00:13:19.799 --> 00:13:21.179
of treatment discharge.

00:13:21.500 --> 00:13:22.841
You reach the number you have.

00:13:22.900 --> 00:13:24.182
Google stars makes it easy.

00:13:24.241 --> 00:13:26.001
Net promoter scores make it easier.

00:13:26.062 --> 00:13:27.842
Patient satisfaction makes it easier.

00:13:28.062 --> 00:13:29.163
Those aren't bad metrics.

00:13:29.183 --> 00:13:30.923
They're just getting asked to carry weight

00:13:30.943 --> 00:13:31.804
they weren't built for.

00:13:32.985 --> 00:13:34.826
The danger isn't that operators track

00:13:34.846 --> 00:13:34.986
them.

00:13:35.027 --> 00:13:36.368
The danger is that over time,

00:13:36.388 --> 00:13:38.528
the proxy becomes the definition.

00:13:38.568 --> 00:13:39.370
You stop asking,

00:13:39.389 --> 00:13:40.571
are patients getting better?

00:13:40.870 --> 00:13:41.652
And start asking,

00:13:41.751 --> 00:13:43.293
are patients happy enough to leave a

00:13:43.312 --> 00:13:44.133
five-star review?

00:13:44.153 --> 00:13:46.654
That's entirely different dimensions.

00:13:47.034 --> 00:13:47.716
They're related,

00:13:48.216 --> 00:13:49.596
but they're not the same questions.

00:13:49.777 --> 00:13:50.738
Yeah.

00:13:50.778 --> 00:13:52.698
You highlighted something in this article

00:13:52.759 --> 00:13:54.580
that I guess I didn't think about too

00:13:54.620 --> 00:13:54.941
much.

00:13:55.581 --> 00:13:56.601
And I bet you a lot of people

00:13:56.642 --> 00:13:57.222
didn't either,

00:13:57.263 --> 00:13:59.945
which is responding to one of these

00:13:59.985 --> 00:14:02.366
reviews, if it's negative or in a way,

00:14:02.788 --> 00:14:04.708
could open you up to liability.

00:14:05.370 --> 00:14:08.393
So why are healthcare providers the only

00:14:08.432 --> 00:14:10.335
businesses that really can't actually

00:14:10.355 --> 00:14:11.716
defend themselves in public?

00:14:11.775 --> 00:14:12.355
Or they can,

00:14:12.375 --> 00:14:13.658
but they have to be really,

00:14:14.018 --> 00:14:15.139
really careful about it.

00:14:15.447 --> 00:14:15.667
Yeah.

00:14:15.706 --> 00:14:16.187
So first of all,

00:14:16.206 --> 00:14:17.908
the reviews tend to reflect sort of your

00:14:17.988 --> 00:14:20.908
interpersonal and logistical experience as

00:14:20.948 --> 00:14:22.288
your wait times, your parking,

00:14:22.328 --> 00:14:23.089
the front desk,

00:14:23.448 --> 00:14:25.210
not clinical decision making.

00:14:25.610 --> 00:14:28.171
And so the population leaving reviews is

00:14:28.270 --> 00:14:30.711
really not a representative population.

00:14:31.851 --> 00:14:34.354
people are complex they leave incomplete

00:14:34.835 --> 00:14:37.557
survey data disappointing outcomes are

00:14:37.596 --> 00:14:39.938
less likely to review stars of any any

00:14:40.620 --> 00:14:43.162
nature at all and what ends up happening

00:14:43.442 --> 00:14:45.283
is it's you know do you like your

00:14:45.323 --> 00:14:47.285
provider all those kind of things they

00:14:47.346 --> 00:14:50.028
review it but that selection bias is baked

00:14:50.087 --> 00:14:52.870
into every star rating in the industry

00:14:53.629 --> 00:14:55.089
But the biggest thing is what you're

00:14:55.129 --> 00:14:56.330
referring to on the question,

00:14:56.350 --> 00:14:58.951
which has HIPAA in the background,

00:14:58.971 --> 00:15:01.171
which limits how providers can respond to

00:15:01.230 --> 00:15:02.270
negative reviews.

00:15:02.611 --> 00:15:04.011
You can't get into details.

00:15:04.052 --> 00:15:05.412
You can't correct the record.

00:15:05.451 --> 00:15:07.133
You can't explain context.

00:15:07.673 --> 00:15:09.754
So one-star review about a billing dispute

00:15:09.793 --> 00:15:11.274
sits on your profile essentially

00:15:11.333 --> 00:15:13.335
unchallenged because your response has to

00:15:13.375 --> 00:15:14.215
be generic.

00:15:14.875 --> 00:15:17.618
It lands and people people ignore that.

00:15:17.658 --> 00:15:19.259
And so now we've developed this whole

00:15:19.278 --> 00:15:21.120
niche industry about how to respond to

00:15:21.160 --> 00:15:22.423
bad, bad reviews.

00:15:22.462 --> 00:15:23.764
It's almost like all of us need our

00:15:23.803 --> 00:15:26.326
own PR crisis when we get a bad

00:15:27.047 --> 00:15:27.508
review.

00:15:28.268 --> 00:15:30.210
We also have to remember, you know,

00:15:30.471 --> 00:15:32.432
I always tell my therapist this and the

00:15:32.493 --> 00:15:34.073
PT side and I say the same thing

00:15:34.094 --> 00:15:34.595
in the dental.

00:15:34.654 --> 00:15:37.376
If a patient left your local clinic.

00:15:38.097 --> 00:15:40.840
because they refused to accept some level

00:15:40.879 --> 00:15:43.182
of self-responsibility in physical therapy

00:15:43.201 --> 00:15:45.864
that manifests itself by a home program or

00:15:45.903 --> 00:15:47.625
compliance with instructions.

00:15:48.206 --> 00:15:48.787
And in dental,

00:15:48.826 --> 00:15:50.727
it manifests itself with compliance with

00:15:50.788 --> 00:15:52.970
instructions on hygiene care and other

00:15:53.129 --> 00:15:55.831
aspects of post procedural care.

00:15:56.393 --> 00:15:58.934
And they would not take and therefore they

00:15:58.975 --> 00:16:00.875
disliked you because they wanted to put

00:16:00.936 --> 00:16:02.256
all their problems on to you.

00:16:03.057 --> 00:16:04.899
It's OK to fire a customer every once

00:16:04.918 --> 00:16:05.359
in a while.

00:16:05.418 --> 00:16:07.600
And if that leaves you a bad review,

00:16:08.100 --> 00:16:10.260
you could still sleep at night because

00:16:10.321 --> 00:16:13.101
self-responsibility and an active role in

00:16:13.121 --> 00:16:14.042
your own health care,

00:16:14.101 --> 00:16:16.543
your own recovery and in your own in

00:16:16.562 --> 00:16:18.604
the dental world and your own treatment is

00:16:18.683 --> 00:16:19.224
critical.

00:16:19.244 --> 00:16:21.664
A lot of patients don't want to assume

00:16:21.745 --> 00:16:23.745
any responsibility and they might write

00:16:23.765 --> 00:16:24.625
you a bad review.

00:16:24.946 --> 00:16:28.106
You can't get overly intrusive on it

00:16:28.147 --> 00:16:28.767
because you're violent.

00:16:28.807 --> 00:16:29.847
You could be violating HIPAA.

00:16:30.475 --> 00:16:33.636
Yeah, it's the juice versus squeeze ratio.

00:16:34.118 --> 00:16:35.578
You might chase after and put so much

00:16:35.599 --> 00:16:36.438
effort in this one patient,

00:16:36.458 --> 00:16:37.580
you're probably never gonna make that,

00:16:38.000 --> 00:16:40.001
you might never make that person happy.

00:16:40.402 --> 00:16:42.464
Let's take that juice versus squeeze ratio

00:16:42.844 --> 00:16:43.784
over to this question,

00:16:44.184 --> 00:16:46.005
because this takes time, effort, money.

00:16:46.046 --> 00:16:48.827
There are firms who you can hire that

00:16:48.847 --> 00:16:49.849
are specialized in this.

00:16:50.288 --> 00:16:52.291
So what are people actually spending,

00:16:52.350 --> 00:16:53.451
even if you're not hiring a firm,

00:16:53.471 --> 00:16:55.352
you're also spending brainpower, time,

00:16:55.413 --> 00:16:56.653
staff time, effort, money.

00:16:56.994 --> 00:16:58.754
What are we actually spending to maintain

00:16:58.794 --> 00:16:59.035
that

00:17:01.356 --> 00:17:04.157
And has anyone proven that it does

00:17:04.198 --> 00:17:04.618
anything?

00:17:05.259 --> 00:17:07.640
Does it drive business or patient growth

00:17:07.720 --> 00:17:08.160
at all?

00:17:08.580 --> 00:17:08.740
Yeah.

00:17:08.820 --> 00:17:11.261
So one of the questions I ask operators

00:17:11.281 --> 00:17:14.223
to think about is the concept of what

00:17:14.304 --> 00:17:17.484
is your return on the cost of quality?

00:17:17.925 --> 00:17:20.446
The cost is the time, effort, resources,

00:17:20.567 --> 00:17:20.967
money,

00:17:21.507 --> 00:17:24.888
all these things we do to ensure some

00:17:24.949 --> 00:17:25.950
level of quality.

00:17:26.609 --> 00:17:28.171
And so you have to be cognizant of

00:17:28.191 --> 00:17:28.431
that.

00:17:28.911 --> 00:17:31.551
The spending is extremely real and it's

00:17:31.652 --> 00:17:33.413
often invisible in the budget.

00:17:33.893 --> 00:17:34.113
You know,

00:17:34.133 --> 00:17:35.794
people aren't you're not budgeting this as

00:17:35.834 --> 00:17:38.375
much staff time training and review

00:17:38.815 --> 00:17:41.476
technology platforms with automatic post

00:17:41.536 --> 00:17:43.016
visit review sequences.

00:17:43.076 --> 00:17:45.156
Now we have all this stuff that goes

00:17:45.217 --> 00:17:47.637
into your phone that automatically asks

00:17:47.738 --> 00:17:49.318
you all of these kinds of things.

00:17:49.939 --> 00:17:51.700
And for a multi-site operator, man,

00:17:51.740 --> 00:17:52.460
that adds up.

00:17:52.579 --> 00:17:54.461
fast and keep in mind all the SAS

00:17:54.481 --> 00:17:55.702
software providers,

00:17:55.742 --> 00:17:56.804
how do they make more money?

00:17:57.223 --> 00:18:00.146
The same customers adding additional APIs

00:18:00.547 --> 00:18:02.848
that allow you to do more functions is

00:18:02.909 --> 00:18:04.190
how they make more money.

00:18:04.250 --> 00:18:04.410
You know,

00:18:04.430 --> 00:18:06.031
we'll talk about the EMRs and other kinds

00:18:06.051 --> 00:18:08.493
of things later because the LZRs miniature

00:18:08.534 --> 00:18:09.034
versions.

00:18:09.434 --> 00:18:11.757
So now I'm not only doing your EMR,

00:18:12.217 --> 00:18:14.698
I'm doing your point of service pay at

00:18:14.758 --> 00:18:15.358
times.

00:18:15.578 --> 00:18:17.298
I'm doing your outcome studies.

00:18:17.680 --> 00:18:20.181
I'm doing your documentation AI.

00:18:20.580 --> 00:18:22.422
All of these things keep adding costs.

00:18:22.461 --> 00:18:23.682
And so we say as operators,

00:18:23.701 --> 00:18:25.303
where's my cost of RCM?

00:18:25.343 --> 00:18:26.363
Should be going down.

00:18:26.544 --> 00:18:27.523
All of a sudden it's going up.

00:18:27.544 --> 00:18:28.304
Why is it going up?

00:18:28.324 --> 00:18:29.785
Because all these providers are adding

00:18:29.884 --> 00:18:30.525
APIs.

00:18:30.805 --> 00:18:33.826
They're increasing your cost and you have

00:18:33.866 --> 00:18:35.567
to do the tough decisions and make

00:18:35.607 --> 00:18:36.048
choices.

00:18:36.528 --> 00:18:38.348
about all of those kinds of things.

00:18:38.410 --> 00:18:40.151
And so in health care,

00:18:40.171 --> 00:18:42.211
a lot of choice is constrained.

00:18:42.272 --> 00:18:44.054
Insurance networks, referral patterns,

00:18:44.094 --> 00:18:44.713
geography,

00:18:44.773 --> 00:18:46.875
they're still doing an incredible amount

00:18:46.915 --> 00:18:47.517
of routing.

00:18:47.557 --> 00:18:49.817
And so if you're investing to maintain a

00:18:49.857 --> 00:18:52.079
four point nine in a market where a

00:18:52.140 --> 00:18:53.820
meaningful portion of your new patients

00:18:53.861 --> 00:18:55.502
are coming through other referral channels

00:18:55.823 --> 00:18:57.544
that aren't looking at your Google rating

00:18:57.604 --> 00:18:57.884
at all,

00:18:57.924 --> 00:18:59.266
that doesn't mean the investment is

00:18:59.826 --> 00:19:00.226
wasted.

00:19:00.626 --> 00:19:02.867
It just means that ROI calculation is

00:19:02.948 --> 00:19:03.269
messy.

00:19:03.909 --> 00:19:06.131
They're the platform selling requests.

00:19:06.471 --> 00:19:08.553
So we see all of these efforts now

00:19:08.673 --> 00:19:11.776
in the AI world of lead generation and

00:19:11.895 --> 00:19:13.218
all of these things around it.

00:19:13.778 --> 00:19:15.759
And I talk to practices and they say,

00:19:15.779 --> 00:19:17.121
I'm not having trouble getting new

00:19:17.161 --> 00:19:18.021
patients right now.

00:19:18.442 --> 00:19:18.742
Well,

00:19:18.923 --> 00:19:20.443
you're spending an incredible amount

00:19:20.483 --> 00:19:22.445
between your foot marketers,

00:19:22.826 --> 00:19:25.308
your advertising, your digital marketing,

00:19:25.788 --> 00:19:27.430
and all of these things have accreted to

00:19:27.471 --> 00:19:27.810
a level.

00:19:27.891 --> 00:19:28.490
And you have to say,

00:19:28.530 --> 00:19:30.032
does the business model support it

00:19:30.053 --> 00:19:30.192
anymore?

00:19:31.128 --> 00:19:32.069
And in healthcare,

00:19:32.230 --> 00:19:33.612
it's a penny nickel business,

00:19:33.652 --> 00:19:34.893
a nickel dime business.

00:19:35.012 --> 00:19:38.136
You can't afford to spend an enormous

00:19:38.156 --> 00:19:39.698
amount of money on a problem that you

00:19:39.738 --> 00:19:41.099
think is there, but it really isn't.

00:19:41.519 --> 00:19:42.159
Yeah.

00:19:42.179 --> 00:19:42.359
All right.

00:19:42.380 --> 00:19:43.220
So I'm going to hold your feet to

00:19:43.259 --> 00:19:43.640
the fire.

00:19:43.819 --> 00:19:47.021
I actually put your article into test.

00:19:47.041 --> 00:19:47.382
I said, hey,

00:19:47.982 --> 00:19:51.125
how would some leading brands actually

00:19:51.244 --> 00:19:51.944
optimize this?

00:19:51.984 --> 00:19:55.686
And one of the best responses was Disney.

00:19:56.248 --> 00:19:58.848
They said Walt Disney himself would

00:19:58.929 --> 00:20:01.611
optimize for miles per hour,

00:20:01.651 --> 00:20:03.531
not miles per hour, not stars.

00:20:03.912 --> 00:20:06.012
So if Google stars don't tell the truth,

00:20:06.814 --> 00:20:08.994
what should operators be measuring

00:20:09.476 --> 00:20:10.056
instead?

00:20:10.753 --> 00:20:11.193
Yeah,

00:20:11.413 --> 00:20:13.275
so we'll get into this a little bit,

00:20:13.295 --> 00:20:14.736
but I noticed one of the comments from

00:20:14.756 --> 00:20:18.117
the article last week was somebody saying

00:20:18.137 --> 00:20:20.759
the best metric they measure is how many

00:20:20.818 --> 00:20:22.279
smiles are leaving their clinic.

00:20:22.728 --> 00:20:24.167
And I thought that was a real interesting

00:20:24.228 --> 00:20:24.728
one.

00:20:24.827 --> 00:20:26.409
In dental, at least in our company,

00:20:26.469 --> 00:20:28.009
we say our mission is to create a

00:20:28.048 --> 00:20:29.548
lifetime of healthy smiles.

00:20:29.608 --> 00:20:30.930
And how are we doing that?

00:20:30.970 --> 00:20:33.190
Doing meaningful and purposeful work and

00:20:33.230 --> 00:20:33.789
remembering.

00:20:34.230 --> 00:20:35.711
In fact, that's what we're here for.

00:20:36.310 --> 00:20:38.431
But there's a short list with teeth.

00:20:38.510 --> 00:20:41.011
New patient arrival rate is a real

00:20:41.051 --> 00:20:41.672
critical one.

00:20:41.711 --> 00:20:43.291
Are new patients choosing you?

00:20:43.811 --> 00:20:45.432
Is that number growing?

00:20:45.553 --> 00:20:47.673
Is your number of new patients growing?

00:20:48.393 --> 00:20:51.134
We talk about growth in organic and all

00:20:51.153 --> 00:20:52.253
these things and platforms,

00:20:52.273 --> 00:20:55.095
and most PT operators measure that wrong.

00:20:55.435 --> 00:20:59.757
They measure growth in terms of number of

00:20:59.797 --> 00:21:01.518
visits per patient, all kinds of things.

00:21:01.538 --> 00:21:02.998
They ought to be measuring it by growth

00:21:03.038 --> 00:21:03.798
and cash flow.

00:21:03.917 --> 00:21:05.298
Different topic for another time.

00:21:05.959 --> 00:21:06.980
But is the number growing?

00:21:07.000 --> 00:21:07.980
That's a market signal,

00:21:08.060 --> 00:21:10.123
not just a sentimental drop.

00:21:10.182 --> 00:21:11.703
PlanetCare completion, very,

00:21:11.743 --> 00:21:13.265
very difficult, but really, really,

00:21:13.605 --> 00:21:14.205
really difficult.

00:21:14.346 --> 00:21:16.448
Are patients staying through their episode

00:21:16.508 --> 00:21:17.288
of completion?

00:21:17.628 --> 00:21:19.131
To me, that would be the best proxy.

00:21:21.115 --> 00:21:23.135
of a patient you know satisfaction really

00:21:23.615 --> 00:21:25.896
because dropout is the quiet killer that a

00:21:25.957 --> 00:21:27.917
four point nine doesn't capture right

00:21:27.978 --> 00:21:30.018
functional outcome improvement discipline

00:21:30.157 --> 00:21:33.459
specific systematically collected not

00:21:33.538 --> 00:21:36.740
cherry-picked reactivation rate are former

00:21:36.779 --> 00:21:38.540
patients coming back when they have a new

00:21:38.601 --> 00:21:40.701
need i call it friends family and former

00:21:40.760 --> 00:21:42.682
patient percentage what percentage of your

00:21:42.721 --> 00:21:45.462
new patients fall into that bucket that is

00:21:45.522 --> 00:21:47.182
really critical to me because it means

00:21:47.202 --> 00:21:48.844
you're spending zero dollars

00:21:49.364 --> 00:21:51.424
under what you should be doing to get

00:21:51.464 --> 00:21:52.026
your marketing,

00:21:52.066 --> 00:21:53.807
which is providing great care.

00:21:54.207 --> 00:21:55.867
That's continuity and it's its most

00:21:55.928 --> 00:21:56.749
measurable form.

00:21:57.729 --> 00:21:58.950
None of these are as clean or as

00:21:58.970 --> 00:22:00.270
visible as a star rating.

00:22:00.490 --> 00:22:00.810
You know,

00:22:01.511 --> 00:22:03.212
in order to get to the answer,

00:22:03.272 --> 00:22:05.034
it's not a simple answer like a star

00:22:05.074 --> 00:22:05.354
rating.

00:22:05.374 --> 00:22:06.974
That's exactly why they matter more.

00:22:07.035 --> 00:22:09.156
The metrics that are easy to show off

00:22:09.196 --> 00:22:10.477
are usually the ones that have already

00:22:10.518 --> 00:22:11.137
been gained.

00:22:11.178 --> 00:22:12.778
The ones that are harder to show off

00:22:12.818 --> 00:22:14.259
are the ones that's actually happening.

00:22:14.894 --> 00:22:15.976
Yeah.

00:22:15.996 --> 00:22:17.396
Anything you'd want to leave the audience

00:22:17.436 --> 00:22:19.157
with as we wrap up?

00:22:19.198 --> 00:22:20.179
Your parting thoughts?

00:22:20.618 --> 00:22:21.900
No, just, you know,

00:22:22.119 --> 00:22:23.901
not telling you not to do Google ratings.

00:22:24.000 --> 00:22:26.403
Just don't overvalue them and don't spend

00:22:26.462 --> 00:22:28.163
all you're trying to get more of them.

00:22:28.663 --> 00:22:30.746
Reroute that same effort into something

00:22:30.786 --> 00:22:32.507
that brings meaningful change into the

00:22:32.547 --> 00:22:33.768
operations of your practice.

00:22:33.788 --> 00:22:34.488
I mean,

00:22:34.587 --> 00:22:36.769
as a guy who's spent some years in

00:22:36.809 --> 00:22:37.950
marketing and communications,

00:22:37.970 --> 00:22:39.391
the best marketing is a really,

00:22:39.451 --> 00:22:41.613
really great product and or service.

00:22:42.212 --> 00:22:43.253
If you're trying to become a better

00:22:43.354 --> 00:22:44.315
operator in healthcare,

00:22:45.111 --> 00:22:45.833
you're in the right place.

00:22:45.893 --> 00:22:46.775
If this episode hit,

00:22:46.815 --> 00:22:48.419
Larry goes deeper inside his writing.

00:22:48.819 --> 00:22:50.304
Look for the operator on Substack.

00:22:50.324 --> 00:22:51.948
We'll also drop a link below.

00:22:51.968 --> 00:22:53.191
That's where the full breakdown lives.

00:22:53.211 --> 00:22:53.873
We'll see you next time.

