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The Compounding AI Primer Episode | Essential; Pharmacy Compounding Podcast APC · Pharmacy Podcast Network

• 0:05
  Speaker 1: You are listening to the global network of podcasters dedicated
• 0:09
  Speaker 1: to the pharmacy profession. Welcome to the Pharmacy podcast Network.
• 0:26
  Speaker 2: Welcome back to Essential, the Pharmacy compounding podcast with the
• 0:30
  Speaker 2: latest news and analysis from you know It, the Alliance
• 0:33
  Speaker 2: for Pharmacy Compounding, the voice for Pharmacy Compounding.
• 0:38
  Speaker 3: I'm your host, Andrew Canter.
• 0:39
  Speaker 2: We're going to give you a bit of pharmacy compounding
• 0:41
  Speaker 2: news before we get to the main event. That's when
• 0:44
  Speaker 2: we're going to talk about artificial intelligence and how it
• 0:47
  Speaker 2: fits into compounding pharmacy in twenty twenty six.
• 0:50
  Speaker 3: We've got an expert here to answer our questions without
• 0:53
  Speaker 3: getting too geeky about it, but that's in a minute.
• 0:56
  Speaker 3: First to the news, the FDA released a bit of
• 1:03
  Speaker 3: a double whammy statement that not only got compounders confused,
• 1:08
  Speaker 3: lawyers who know this stuff don't know what the FDA
• 1:11
  Speaker 3: is thinking. The big picture is that the agency seems
• 1:14
  Speaker 3: like it's going to be turning its eye to GLP
• 1:17
  Speaker 3: one compounding, kind of like Soaron, but without the orcs.
• 1:21
  Speaker 3: So the first whammy from this statement, the agency said
• 1:25
  Speaker 3: it's going to start cracking down on the use of
• 1:27
  Speaker 3: GLP one APIs by compounding pharmacists. What legal ground the
• 1:32
  Speaker 3: agency has for limiting a particular ingredient, it's just not clear.
• 1:37
  Speaker 3: I mean, it's likely because of pressure from the big
• 1:40
  Speaker 3: drug makers. But the question is, how is the FDA
• 1:43
  Speaker 3: going to do it.
• 1:44
  Speaker 2: It's got a limited tool set, so whatever it does,
• 1:48
  Speaker 2: it's going to have to be a lengthy process, like
• 1:51
  Speaker 2: I don't know, creating a demonstrably difficult to compound list,
• 1:54
  Speaker 2: which it hasn't done yet, and then adding GLP ones
• 1:58
  Speaker 2: to it, and neither of those are easy or slam dunks.
• 2:02
  Speaker 2: All right, whammy number two. In the same statement, the
• 2:05
  Speaker 2: agency said that it's going to crack down on companies
• 2:09
  Speaker 2: quote unquote mass marketing of GLP one drugs. Among other things,
• 2:14
  Speaker 2: it said it would prevent compounders from saying in their
• 2:17
  Speaker 2: ads that their compounded formulations use the same active ingredients
• 2:22
  Speaker 2: as the FDA approved drugs. The thing is they do
• 2:26
  Speaker 2: use the same ingredients. That is a truthful statement. It
• 2:30
  Speaker 2: has to be, or they couldn't compound the substance in
• 2:33
  Speaker 2: the first place. Being a component of an FDA approved
• 2:37
  Speaker 2: drug is a criteria for compounding.
• 2:40
  Speaker 3: That's right out of the food drug and.
• 2:42
  Speaker 2: Cosmetic Act, and that's why there are lawyers scratching their
• 2:45
  Speaker 2: heads at the logic or lack thereof, And now there
• 2:49
  Speaker 2: are some new twists. It was kind of surprised, but
• 2:52
  Speaker 2: after those FDA statements, Novo Nordisk reached an agreement with
• 2:56
  Speaker 2: Hymns and hers. Now HIMS will be able to dispense
• 3:00
  Speaker 2: Novo's Ozempic and Wigov the FDA proved versions, and in exchange,
• 3:05
  Speaker 2: it agreed not to market its compounded GLP ones. Market
• 3:10
  Speaker 2: is the key word here. Hymns will still be able
• 3:12
  Speaker 2: to dispense the compounded versions, just not market them. So
• 3:17
  Speaker 2: I guess that was Novo's problem after all, marketing because
• 3:20
  Speaker 2: once once it reached the agreement with Hymns, Novo dropped
• 3:25
  Speaker 2: its patent lawsuit. And this raises a question about the
• 3:29
  Speaker 2: FDA's potential crackdown on GLP one marketing. Now we know
• 3:34
  Speaker 2: that Novo's issue wasn't production and dispensing of GP one
• 3:38
  Speaker 2: so that are compounded, but the mass marketing of them.
• 3:41
  Speaker 2: So is that the same issue the FDA has? Will
• 3:45
  Speaker 2: the agency back down? And what does that say about
• 3:48
  Speaker 2: industry influence? But wait, there's another wrinkle. Sure the FDA
• 3:53
  Speaker 2: can absolutely crack down on false or misleading marketing, no argument,
• 3:57
  Speaker 2: But it doesn't have the power to prohibits marketing, whatever
• 4:01
  Speaker 2: that means. The Supreme Court said so back in two
• 4:04
  Speaker 2: thousand and two in what was known as the Thompson Case.
• 4:08
  Speaker 2: The FDA, it ruled, can't broadly prohibit marketing of compounded
• 4:13
  Speaker 2: therapies as long as that marketing is truthful. There's a
• 4:17
  Speaker 2: link to the case in the show notes. Besides, who
• 4:20
  Speaker 2: is supposed to decide what is mass marketing? It doesn't matter,
• 4:24
  Speaker 2: the Court said, FDA can't prohibit it.
• 4:27
  Speaker 3: Obviously.
• 4:28
  Speaker 2: This whole issue is something blinking bright on our radar,
• 4:32
  Speaker 2: So stay tuned for updates in probably the next few weeks.
• 4:37
  Speaker 2: What you might wonder does the world of pharmacy compound
• 4:41
  Speaker 2: look like today?
• 4:42
  Speaker 3: Glad you asked.
• 4:43
  Speaker 2: APC just released the latest version of its Snapshot of
• 4:46
  Speaker 2: Pharmacy Compounding, the twenty twenty sixth version, and the title
• 4:50
  Speaker 2: kind of says it all.
• 4:51
  Speaker 3: It is a demographic profile.
• 4:53
  Speaker 2: A slick little pdf that outlines the most important stats
• 4:57
  Speaker 2: about pharmacy compounding.
• 4:58
  Speaker 3: In the US.
• 5:00
  Speaker 2: The idea is, we want you to download it and
• 5:02
  Speaker 2: share it with lawmakers and the media and prescribers, as
• 5:06
  Speaker 2: even patients, get the word out about how important pharmacy
• 5:10
  Speaker 2: compounding is and how much it helps patients. Not everyone
• 5:13
  Speaker 2: knows this stuff, especially if they're getting their info from
• 5:17
  Speaker 2: the big pharma companies. For example, did you know that
• 5:20
  Speaker 2: the typical compounding pharmacy will to spend something like three
• 5:23
  Speaker 2: hundred and fifty compounded prescriptions a week, or that the
• 5:28
  Speaker 2: typical outsourcing facility provides jobs for thirty people. Yeah, there's
• 5:33
  Speaker 2: a link to download the snapshot in the show notes,
• 5:36
  Speaker 2: so grab it, check it out, and then share it
• 5:38
  Speaker 2: far and wide. There's been a disturbing trend popping up
• 5:44
  Speaker 2: in one state after another. Pushed by the big drug companies,
• 5:48
  Speaker 2: State legislators are introducing bills that would add all sorts
• 5:52
  Speaker 2: of new restrictions on pharmacy compounding. They're being pitched as
• 5:55
  Speaker 2: bills to protect patients, but let's be honest, that is
• 5:58
  Speaker 2: not what they're about about security theater, and they come
• 6:02
  Speaker 2: at the expense of pharmacists who have a whole extra
• 6:05
  Speaker 2: set of burdens that well, they won't make anything safer.
• 6:08
  Speaker 2: But more importantly, these restrictions are going to hurt patients
• 6:12
  Speaker 2: who rely on compounded meds.
• 6:14
  Speaker 3: And we know there are a lot of those.
• 6:16
  Speaker 2: ABC's been fighting these bills one at a time, and
• 6:20
  Speaker 2: the good thing is we've been winning. We've helped kill
• 6:22
  Speaker 2: bills in let's see Florida, Virginia, Arizona, Washington State, Mississippi.
• 6:29
  Speaker 3: And a couple others.
• 6:30
  Speaker 2: But like I said, these bills are popping up all over,
• 6:33
  Speaker 2: so we're working pretty hard and doing a lot of lobbying.
• 6:36
  Speaker 2: As I read the script, there are still anti compounding
• 6:39
  Speaker 2: bills in a bunch of other states. So the fights continue.
• 6:43
  Speaker 2: It's like whack a mole, but with lives at risk,
• 6:46
  Speaker 2: so no fun. And with that it is time for
• 6:50
  Speaker 2: our deep dive Today. We've got a hot topic for
• 6:56
  Speaker 2: our deep dive, Artificial intelligence and pharmacy. We've got with
• 7:00
  Speaker 2: us Jonathan Adley. He's the founder of TJM Labs. He's
• 7:04
  Speaker 2: an expert in AI and software development and why he's
• 7:08
  Speaker 2: here today, he has.
• 7:09
  Speaker 3: Also immersed in clinical pharmacy.
• 7:12
  Speaker 2: Now, we don't want to talk too much about the
• 7:14
  Speaker 2: pie and the sky stuff. Jonathan's here to talk about
• 7:17
  Speaker 2: the practical realities of AI in pharmacy.
• 7:21
  Speaker 3: Thanks for coming here, Jonathan, Thanks for having me.
• 7:23
  Speaker 4: Andrew Love what the lens of pharmacy combining does for
• 7:26
  Speaker 4: the combining community, and these are exactly the conversation that
• 7:30
  Speaker 4: we need to happen right now.
• 7:31
  Speaker 3: Well, I think a.
• 7:32
  Speaker 2: Lot of industries are having this conversation about AI and
• 7:36
  Speaker 2: how it fits in whatever they're doing, and I want
• 7:38
  Speaker 2: to be clear, we're going to focus on where AI
• 7:41
  Speaker 2: is actually being used in pharmacies today, not just speculating
• 7:46
  Speaker 2: on what might happen in five or ten years.
• 7:49
  Speaker 3: Well, we'll do a little of that, but let me
• 7:51
  Speaker 3: start with a softball.
• 7:53
  Speaker 2: Give me an idea of some real world practical uses
• 7:57
  Speaker 2: for AI in pharmacy today.
• 8:00
  Speaker 3: Stalk improving efficiency and accuracy.
• 8:03
  Speaker 4: Yeah, sure, I'll give you a concrete example. There is
• 8:07
  Speaker 4: a very large combounding pharmacy in Texas, a Cereal acquirer.
• 8:12
  Speaker 4: They have built up several other pharmacies over the last
• 8:15
  Speaker 4: few years. Their whole business model is margin efficiency by
• 8:19
  Speaker 4: a pharmacy tip endo operation and growing. The bottleneck for
• 8:24
  Speaker 4: them was always prescription data entry. It is tedious, it
• 8:27
  Speaker 4: is high volume, and every person you put on it
• 8:30
  Speaker 4: is a person you are paying to do something a
• 8:32
  Speaker 4: computer could do. They have now automated about ninety five
• 8:37
  Speaker 4: percent of the prescription data entry using AI, bods, think
• 8:42
  Speaker 4: about what that unlocks. You're not just saving a labor cost,
• 8:46
  Speaker 4: You're removing a variable that causes error. A bot does
• 8:50
  Speaker 4: not get tired at the end of a double shift.
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  Speaker 4: It does not make typos because it's been staring at
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  Speaker 4: a screen for eight hours. It works twenty four to
• 8:59
  Speaker 4: seven unstopped. And this is happening today, not five years
• 9:03
  Speaker 4: from now, not you know, ten years from now. The
• 9:07
  Speaker 4: promise of AI in pharmacy is not in SIY. It
• 9:10
  Speaker 4: is a combound in pharmacy like the one I just
• 9:13
  Speaker 4: talked about running a super scalable business because they made
• 9:16
  Speaker 4: that bit early.
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  Speaker 2: Well, there's a lot of news like that about AI,
• 9:21
  Speaker 2: and you gave me a perfect example of something that's real.
• 9:25
  Speaker 2: But it is easy to get lost in what's real
• 9:29
  Speaker 2: and what's just, you know, the hype of the day.
• 9:32
  Speaker 3: So clear it up for us.
• 9:34
  Speaker 2: What are the most common misconceptions that pharmacy leaders and
• 9:39
  Speaker 2: pharmacists and technicians have about AI.
• 9:43
  Speaker 4: Yeah, so we consistently hear from the owners that it
• 9:46
  Speaker 4: is more complicated to deploy than it is. It's not right,
• 9:50
  Speaker 4: it is I would say at this point it's been
• 9:52
  Speaker 4: two years when AI really came to the scene.
• 9:54
  Speaker 3: It is a well oiled machine.
• 9:57
  Speaker 4: From the technician side, there's a lot of fear that
• 9:59
  Speaker 4: it's come for their jobs. The reality is the texts
• 10:03
  Speaker 4: to embrace AI become more valuable not less. They move up,
• 10:06
  Speaker 4: they supervise the automation, and they do higher complexity work.
• 10:11
  Speaker 3: Now we've heard that before.
• 10:13
  Speaker 2: We've heard that in a lot of industries, and in
• 10:16
  Speaker 2: many cases it's true. But is there a risk of
• 10:20
  Speaker 2: jumping into AI just because you think you should. I'll
• 10:24
  Speaker 2: give you an example. My favorite coffee roaster. I order
• 10:27
  Speaker 2: from them online and they started using an AI to
• 10:30
  Speaker 2: contact me every time they place an order. Now, there's
• 10:33
  Speaker 2: no reason for a coffee roaster to have an AI,
• 10:36
  Speaker 2: but they do because someone there decided, oh AI is hot,
• 10:41
  Speaker 2: we should have one. So how should pharmacies be thinking
• 10:45
  Speaker 2: about AI so they actually accomplish something and don't just
• 10:49
  Speaker 2: have it for the sake of having it.
• 10:52
  Speaker 4: You're one hundred percent right, everyone today is labbing AI
• 10:56
  Speaker 4: and everything. That coffee bot probably annoyed you more than
• 11:00
  Speaker 4: it helped you, and that's actually a useful filter. I
• 11:03
  Speaker 4: think about AI in pharmacies through three buckets, and if
• 11:06
  Speaker 4: something does not fit cleanly into one of them, you
• 11:09
  Speaker 4: probably do not need it. Bucket number one the fun bucket.
• 11:14
  Speaker 4: This is a chat pot on your website, an AI
• 11:16
  Speaker 4: that answers some basic patient questions. It's an AI that
• 11:20
  Speaker 4: makes nice marketing photos pictures. It's nice patients appreciated. It's
• 11:25
  Speaker 4: not really moving the needle on your business. It's fine
• 11:28
  Speaker 4: to have, but do not confuse it for transformation. Bucket
• 11:32
  Speaker 4: number two is AI that saves you money. This is
• 11:36
  Speaker 4: where combat in pharmacies should be being the most attention
• 11:39
  Speaker 4: right now. Did the entry automation, prescription processing, refill management
• 11:44
  Speaker 4: tasks are high volume, repetitive, and e technicians hours. This
• 11:49
  Speaker 4: has proven deployable today and the return of investment is
• 11:53
  Speaker 4: very measerable. Bucket number three is AI that makes you money.
• 11:58
  Speaker 4: And this is I would say you are territory. This
• 12:02
  Speaker 4: is an AI that helps you expand what you can offer.
• 12:05
  Speaker 4: Think about a pharmacy that now has the capacity to
• 12:07
  Speaker 4: consult and personalized hormone protocols because the admin version had
• 12:12
  Speaker 4: been lefted, or an AI that helps you practice at
• 12:15
  Speaker 4: a higher level and capture a revenue that you're leaving
• 12:18
  Speaker 4: on the table today. Most vendors when we talk about AI,
• 12:21
  Speaker 4: they really are selling you bucket number one, and you know,
• 12:24
  Speaker 4: hyping it up and say and it's a revolution. But
• 12:27
  Speaker 4: the real opportunity is bucket number two and bucket number three.
• 12:31
  Speaker 2: I can't imagine anyone complaining about bucket number two and
• 12:34
  Speaker 2: bucket number three saving money, making money.
• 12:38
  Speaker 3: So let's get more specific.
• 12:39
  Speaker 2: Where are you seeing AI deliver real improvements for pharmacies?
• 12:45
  Speaker 2: You mentioned the one in Texas, So in general, how
• 12:48
  Speaker 2: does AI improve pharmacy workflows?
• 12:52
  Speaker 3: Yeah?
• 12:52
  Speaker 4: So I would say, you know, data entry and prescription
• 12:55
  Speaker 4: processing by a wide margin, that's where.
• 12:57
  Speaker 3: Most of the volume is.
• 12:59
  Speaker 4: This is where the errors happen, and this is where
• 13:01
  Speaker 4: the AI can truly earn its keep the fastest.
• 13:05
  Speaker 2: Okay, now you've we've talked about errors and people have heard.
• 13:10
  Speaker 2: Anyone who's right about AI knows that it can make mistakes,
• 13:14
  Speaker 2: and of course that's what gets covered in the news.
• 13:18
  Speaker 2: What do you say to a pharmacist who's I don't know,
• 13:21
  Speaker 2: they were a little reluctant to use AI because of
• 13:25
  Speaker 2: the stuff that they read about the general the LM's,
• 13:29
  Speaker 2: the chat GPTs out there. Is there a good place
• 13:32
  Speaker 2: for a pharmacist to start to. I don't know, give
• 13:36
  Speaker 2: AI a trial run.
• 13:38
  Speaker 4: Honestly, you know, pharmacy is probably the best environment to
• 13:42
  Speaker 4: deploy AI precisely because of that skepticism.
• 13:47
  Speaker 3: Here's what I mean.
• 13:48
  Speaker 4: In most industry, when an AI makes a mistake, it
• 13:52
  Speaker 4: means someone has to go out of their way to
• 13:54
  Speaker 4: catch it, and there's no guarantee that anyone will.
• 13:57
  Speaker 3: In pharmacy, that.
• 13:59
  Speaker 4: Catch making is already baked in the regulation and all
• 14:03
  Speaker 4: the workflows. Every step has a pharmacist verification checkpoint that
• 14:09
  Speaker 4: does not go away when you add AI. AI does
• 14:12
  Speaker 4: the work, and a pharmacist still verifies.
• 14:16
  Speaker 3: So for the.
• 14:16
  Speaker 4: Skeptic, this is what I would say. You're not being
• 14:19
  Speaker 4: asked to trust AI blindly. You're being asked to let
• 14:23
  Speaker 4: AI handle the data entry and you do what you
• 14:26
  Speaker 4: have always done, review and sign off. You're not removing
• 14:30
  Speaker 4: the human from the loop. You're removing the human from
• 14:34
  Speaker 4: the boring part.
• 14:35
  Speaker 3: Of the loop.
• 14:36
  Speaker 4: A good place to start is your highest volume, lowest
• 14:40
  Speaker 4: complexity task in your workflow. I would say, you know,
• 14:44
  Speaker 4: for most pharmaciest data entry is the obvious one. Run
• 14:47
  Speaker 4: it in viral with your existing process for a week
• 14:50
  Speaker 4: or two let day I do it, have your technician
• 14:54
  Speaker 4: check it before it even goes to the pharmacist for
• 14:56
  Speaker 4: another check, and you'll see very quickly whether it's in
• 15:00
  Speaker 4: your trust or not.
• 15:02
  Speaker 2: So you talk about the current workflow and the regulations
• 15:06
  Speaker 2: now that everything has to be checked.
• 15:08
  Speaker 3: So yeah, it absolutely.
• 15:10
  Speaker 2: Makes sense to have humans pharmacists checking the work. So
• 15:16
  Speaker 2: there have to be places where you can't use an AI.
• 15:20
  Speaker 2: You know, where the human judgment is is more than
• 15:23
  Speaker 2: just checking AI work, but where humans are front and center.
• 15:29
  Speaker 4: Yeah, clinical decisions, full stop, anything that touches patient safety,
• 15:34
  Speaker 4: drug interactions, combounding formulations, that stays was the pharmacist I
• 15:40
  Speaker 4: like to say AI is not is an operator not
• 15:44
  Speaker 4: a clinician.
• 15:46
  Speaker 2: All right, So let's say you've decided you're going to
• 15:49
  Speaker 2: make the leap to using AI.
• 15:53
  Speaker 3: This is another question that comes up a lot.
• 15:55
  Speaker 2: How do you tell which products out there are good
• 15:59
  Speaker 2: and which are hype? Which is the coffee roaster bot?
• 16:03
  Speaker 2: That doesn't help me at all? It's not like you know,
• 16:05
  Speaker 2: there's a subreddit you can ask for advice and something
• 16:09
  Speaker 2: that's technical. Actually, wait before you answer that, how about this?
• 16:13
  Speaker 2: Before you start to look at different AI tools for
• 16:17
  Speaker 2: a pharmacy. What do you need to think about when
• 16:20
  Speaker 2: you're looking at your whole operation?
• 16:23
  Speaker 3: Yeah, so I would say workflow clarity.
• 16:26
  Speaker 4: If your process is tiotic, there is no organization. AI
• 16:31
  Speaker 4: will automate the same chaos. So the first thing you
• 16:35
  Speaker 4: need to do is get your standard operating procedures run right,
• 16:39
  Speaker 4: know what your highest volume task are. Once you have
• 16:42
  Speaker 4: that in pace, then bring the AI to handle them.
• 16:46
  Speaker 3: All right, that makes perfect sense.
• 16:49
  Speaker 2: So all right, you have an idea of where you
• 16:52
  Speaker 2: want to use AI, where it can do the most
• 16:54
  Speaker 2: for you. Tell me how do you tell which AI
• 16:58
  Speaker 2: tool is the right one? Consider are a lot out there.
• 17:02
  Speaker 3: Yeah.
• 17:03
  Speaker 4: The best filter that I have personally found is specificity,
• 17:07
  Speaker 4: so generic AI. When you apply that to a pharmacy,
• 17:10
  Speaker 4: that's a red flag. A vendor who truly understands combining workflows,
• 17:15
  Speaker 4: who can speak to the difference between a bioneer and
• 17:18
  Speaker 4: a life file implementation, who has been inside actual combinding
• 17:22
  Speaker 4: pharmacies and seeing the madness, that is a different conversation.
• 17:27
  Speaker 4: I would say, you know, look for vertical specific software
• 17:30
  Speaker 4: built by people whose domain expertise. It's the same way
• 17:34
  Speaker 4: why you wouldn't hire a general as consultant to advise
• 17:37
  Speaker 4: you on five or three D compliance. You want someone
• 17:41
  Speaker 4: who lives in that world. The other filter is old
• 17:44
  Speaker 4: fashioned references, you know, not testimonials on a website, actual pharmacies.
• 17:49
  Speaker 4: You can call an ask did this work, what broke,
• 17:53
  Speaker 4: what surprised you. If you know a vendor you talked
• 17:56
  Speaker 4: to you and they cannot give you three pharmacy owners
• 17:58
  Speaker 4: to call, that tells you something. There's also a community
• 18:02
  Speaker 4: forming around us, you know. Alliance of Pharmacy Combining is
• 18:05
  Speaker 4: actually a great example. These conversation happen organically in conferences
• 18:10
  Speaker 4: and to be your group, so you know your combounding
• 18:14
  Speaker 4: colleagues who have made the leap, who took that risk
• 18:17
  Speaker 4: for you. Are probably the best diligence tool as of today.
• 18:21
  Speaker 2: And I think that's important because we hear a lot
• 18:24
  Speaker 2: about chat, GPT and CLAUDE and whatever's coming next.
• 18:29
  Speaker 3: But these are the generalist.
• 18:31
  Speaker 2: Tools that college kids can use to help write their essays.
• 18:37
  Speaker 2: And the idea that looking for specific tools that are
• 18:41
  Speaker 2: geared towards pharmacies, towards compounding pharmacies is critical. Before we go,
• 18:47
  Speaker 2: I want to take one quick trip into the future,
• 18:50
  Speaker 2: say five years down the line.
• 18:52
  Speaker 3: There's an obvious question. What role are.
• 18:55
  Speaker 2: Pharmacists going to play as AI gets more integrated, So
• 19:00
  Speaker 2: how is their workload going to change?
• 19:03
  Speaker 4: Yeah, the pharmacist is not going anywhere, but the job
• 19:06
  Speaker 4: is going to look very different and I think better.
• 19:10
  Speaker 4: Right now, a lot of the pharmacist's time is spent
• 19:12
  Speaker 4: on things that does not require a pharmacist training, data entry,
• 19:17
  Speaker 4: insurance calls, routine refills. A I will take all of that,
• 19:22
  Speaker 4: not because pharmacists cannot do it, but because it's a
• 19:25
  Speaker 4: waste of their expertise. Five years from now, the pharmacist
• 19:29
  Speaker 4: time will get tree directed to the work that actually
• 19:32
  Speaker 4: require their judgment and expertise. And compounding is a perfect
• 19:36
  Speaker 4: example for that matters you know, take hormone replacement service
• 19:40
  Speaker 4: for example. There are one of the fastest growing areas
• 19:44
  Speaker 4: right now, and there are complex Most pharmacies I talk
• 19:48
  Speaker 4: to are not capturing the full opportunity because they don't
• 19:51
  Speaker 4: have the bandwidths to probably talk debationis about it. Think
• 19:56
  Speaker 4: about a personalized protocol, dosing, cycling stackic that require personalized
• 20:03
  Speaker 4: clinical judgment and a lot of clinical knowledge that requires
• 20:07
  Speaker 4: a pharmacist who had the time to actually sink and
• 20:10
  Speaker 4: consult With these stations, AI creates that time the pharmacist
• 20:16
  Speaker 4: who in five years is spending their day on clinical
• 20:19
  Speaker 4: consultations or provide their relationships, or on complex formulation questions.
• 20:24
  Speaker 4: That pharmacist is practicing at the top of their license.
• 20:27
  Speaker 4: That is a more fulfilling career and it's also a
• 20:30
  Speaker 4: better business.
• 20:32
  Speaker 3: That is terrific.
• 20:34
  Speaker 2: Well, in just a few minutes, we have covered a
• 20:36
  Speaker 2: lot of ground today and we've taken a bunch of
• 20:39
  Speaker 2: your time, Jonathan, I know you're you're really busy. Thank
• 20:42
  Speaker 2: you for sharing, sharing what you've learned, sharing what you've seen,
• 20:46
  Speaker 2: what you know.
• 20:47
  Speaker 3: It is not an easy topic.
• 20:49
  Speaker 2: It's not something that we can cover in just a podcast,
• 20:52
  Speaker 2: and it's not something that you should just use this podcast.
• 20:56
  Speaker 2: As you know, you're jumping off point, but it certainly
• 21:00
  Speaker 2: a start and hopefully we've given people things to think
• 21:03
  Speaker 2: about the whole topic. It's not easy and we are
• 21:06
  Speaker 2: lucky to have you here. Speaking of which, we will
• 21:09
  Speaker 2: put a link in the show notes to where people
• 21:12
  Speaker 2: can find out more about you and TJM Labs.
• 21:15
  Speaker 3: So thanks for taking the time. Thank you.
• 21:18
  Speaker 2: Well, all right, that is it for this episode of
• 21:21
  Speaker 2: Essential Before we play the outro, music. There's something I
• 21:25
  Speaker 2: always point out. If you are a compounding pharmacist or
• 21:28
  Speaker 2: a technician, or if you prescribe compounding myds, APC is
• 21:32
  Speaker 2: almost certainly helping you and helping your patients. We gave
• 21:35
  Speaker 2: you some examples earlier. I'm not going to go through
• 21:38
  Speaker 2: everything ABC does, but I will say it is the
• 21:41
  Speaker 2: biggest and in a good way, the loudest trade association
• 21:45
  Speaker 2: for the whole compounding profession. If you're not a member
• 21:48
  Speaker 2: of APC, ought to be. We're working for you and
• 21:51
  Speaker 2: we'd love to have you on board. Just head over
• 21:54
  Speaker 2: to a four PC dot org. That's a the number
• 21:58
  Speaker 2: four pc dot org.
• 22:00
  Speaker 3: Check us out.
• 22:00
  Speaker 2: All right now we can play that outro music. Thank
• 22:03
  Speaker 2: you for listening.