Schutztalks

Andrew Schutzbank MD, MPH

Schutztalks: the audio companion to the Schutzblog; innovating in healthcare and beyond. www.schutzblog.com

  1. Aug 5

    This is the Volume You’re Looking For

    “I know that we know how to reduce TME, but I don’t know that I know how to reduce TME.” – an amazing Geriatrician, leader, singer and all-around human In Part 3 of the Capturing Value is the Hard Part series, we focused on reducing the price of care to reduce Total Medical Expense (TME). In this part I want to dive into my much more favoritest part, reducing the volume of care. Quick reminder: Cost = Price x Volume But wait, isn’t care good, useful and necessary? Wouldn’t reducing the volume of care then be a bad thing? If only all care were good care. Care volume actually breaks down into 4 buckets, 3 of which are bad: * Fraud * Abuse * Waste * Valuable Care The first 3 buckets are all the volume to be reduced, while the fourth is the whole point of healthcare. The challenge facing us then is how to separate the good from the bad, before the bad care happens. It would stand to reason that all care that is not waste, fraud or abuse, in service of actually improving patient health is therefore valuable. In medicine we call this a diagnosis of exclusion, which gives us a clue on how to make that determination. The payor approach to reducing care volume short-circuits this challenge by simply putting up walls: Co-pays, prior authorizations, administrative delays, restrictive formularies/narrow networks, automated claim denials, even deposing the insured. These strategies make it harder for patients to obtain care by placing obstacles between them and that care. While there is evidence that in the absence of these obstacles, care volume does go up, this approach fundamentally selects for tenacity, not necessity. If the payor says “no” enough times, maybe you will just give up. Maybe you will just die while you wait. The only way to permanently end these practices is to reliably sort good care from bad. Let’s begin with definitions then get into our approach to do just that. Fraud & Abuse Fraud represents phantom volume that is billed for but did not happen or care that did happen under false pretenses such as bribes, kick backs, fabrications etc. Abuse is fraud’s little brother, and represents “bending the rules” such as billing for care that did happen, but was not really necessary. Together they represent always bad care, with an estimated annual cost of $58.5-83.9 billion, which looks like a big number except this is healthcare so just strap in. Claiming to fight fraud and abuse is a preferred pastime of politicians who want to look like they are doing something useful with a whole bunch of political side benefits. The problem is, this presumption of guilt taints all medical payments resulting in $265.6 billion of waste in administrative complexity to fight it. That’s right: we lose $4-5 for every $1 we try to save in fraud prevention. So it is bad, it shouldn’t happen, we should prevent it, but it pales in comparison to the endemic problem of waste. Waste The underlying thesis of Value-based Care (VBC) is that there is enough waste in our system that removing it ought to be a viable business for someone (primary care), with corresponding revenue reductions for everyone else (specialists, hospitals, pharma). Therefore for VBC to “work” a few things need to be true: * Enough waste to justify removing it * The ability to continuously distinguish between waste and valuable care in near real time * The ability to reduce said waste * A value capture mechanism that rewards waste removers Waste represents care that actually happened but did not produce any benefit to patient health, or worse, produced harm. Fortunately for us, Shrank et al did the work to qualify and quantify waste in the US healthcare system with “[t]he estimated cost of waste in the US Healthcare system ranged from $760 billion to $935 billion, accounting for approximately 25% of total health care spending.” So yes, there is enough. Let’s break it down further based on the same paper: Administrative Complexity: $265.6 Billion Time wasted by patients, clinicians and staff in attempts to get care to happen/paid for such as: prior auths, claim rejections, byzantine processes for each payor, excessive documentation requirements Pricing Failure: $230.7 Billion – $240.5 Billion Prices are higher than they would be in a properly functioning, competitive market due to: market consolidation, lack of transparency, “proprietary prices,” exorbitant drug costs Failure of Care Coordination: $27.2 Billion – $78.2 Billion Intended care fails to happen due to: scheduling challenges, transportation issues, no follow up, etc. Over-treatment / Low-Value Care: $75.7 Billion – $101.2 Billion Care delivered that could not have been beneficial due to outdated evidence, defensive medicine, practice bias, etc. Failure of Care Delivery: $102.4 Billion – $165.7 Billion Unsafe, ineffective, harmful or poorly delivered care such as misdiagnoses, hospital acquired infections, medical errors, etc. First off, and perhaps sadly, it is worth noting that most of the available waste is secondary to administrative complexity and pricing failure. However, I maintain that those two factors stem from a fundamental ignorance of the nature of care. This is not an indictment of our forebears, rather a recognition of the current state of medical research, with its emphasis on singular interventions like medications and procedures over complex, continuous services. Because we cannot easily tell good care from bad or “what works” in advance of providing said care, the necessary work of allocating resources toward that care persists. As such, “fixing care” should lead to improvements in these largest, albeit secondary, buckets of waste, so on care we shall focus. Fortunately, we have the most agency here. Waste vs. Valuable Care Care is a messy business on the best of days, and the job of a practitioner is to move through this chaotic ambiguity in a disciplined manner for the benefit of patients. We often get it wrong because we make diagnostic mistakes, treatments have adverse outcomes and even cause harm. We tend to treat these as either individual clinician failures or as an inevitable consequence of medicine’s complexity when they are more often the predictable consequence of a system riddled with open loops. Furthermore, reducing low value care or over-treatment is treated as an evidence problem rather than a systemic problem stemming from perverse payment incentives intertwined with legal liability. While these kinds of waste and harm are the long term targets of our efforts, they currently represent the highest hanging of fruits. The truth is, the underlying delivery of care is so unreliable, so devoid of meaningful feedback, that the most impactful lever to remove waste is to ensure that what care is intended to happen, actually happens: to close the loops. Why bother arguing over which care is correct if it doesn’t get reliably delivered in the first place? Subtraction is first in the order of operational improvement. Think about your last experience as a patient. Did you make it to your doctor’s office? On time? Did you have all the correct paperwork? Did you fill out a form on a clipboard? Did they read it? Was medicine prescribed? Could you pronounce it? Did your pharmacy actually fill it? Did you pick it up and take it? Did anyone check that you did, or if there were side effects or if it worked at all? How about blood work? Did you know where to go? Did you know why blood was being taken? Did they take it properly? Did you get injured? Did you have to repeat the sample draw? Did you ever get your results with an interpretation? Or a specialist referral? Were you told why and where to go? Did the appointment happen or was it canceled? Did you ever hear back after the visit? In all of these very common scenarios: Did you know what to do next? Did anyone check on you proactively or did they instead make you jump through hoops to get help? These are three extremely common care scenarios, each an example of open loops. Now multiply this by every patient, every condition, millions of times per year. It is almost a wonder that anything happens at all. I’d like to think we’ve made considerable progress in the past 20 years, but the complexity of care has outgrown our ability to navigate it. Sadly, patients are left wandering aimlessly around the amusement park. Now think of the consequences of all of these open loops such as tests and procedures canceled, conditions undiagnosed and untreated, cancers growing– all leading to more care down the line. Can you see it now? By not ensuring that what was intended to happen, actually happened, we massively increase the volume of care, which adds more stress to the health system which exacerbates the problem. This volume of care stemming from messed up care is known as failure demand. This is the volume you’ve been looking for. Unfortunately, the prevailing Fee-for-service (FFS) payment system cannot tell the difference between real, valuable demand and failure demand. In fact, many of our large health systems thrive on failure demand, with “good” PCPs costing them up to $300,000 each in reduced volume. Think about how well you would do at your job if you got paid 10x more to fix your mistakes after you messed it up. Similarly, while VBC systems ostensibly reward closing these loops, the current state of the art is to hire more people: care coordinators, case managers, each adding significant cost with their own failure modes. Well intentioned VBC providers spend money upfront (health coaches, software build outs) to close all of these open loops, essentially by doing everyone else’s job for them. But the deck is stacked toward the status quo. Insurance companies get to pass risk onto well-intentioned providers and everyone else either gets paid to have someone else do their job or for continued failure demand. It’s a tough business. Neverth

  2. Jan 12

    Prototyping at the Speed of Thought

    How many times have you had the best idea but you didn’t know where to start? You tell yourself that you aren’t “good” at business/law/technology, so you let the cost and risk of starting– wasting time and money, looking stupid, not knowing where to begin– wither your concept on the vine. But what if there were an easy way to make your vision tangible to others? What if instead of weeks or months of toil, you could prototype at the speed of thought? It turns out there is a way. Part pejorative, part magical, vibe coding is the use of Large Language Models (Claude is my favorite) to build software without knowing how to code. I chat with it all day—asking questions, getting code snippets, pasting them line by line into what’s now Schutzduck, the AI advisor I created. My wife asks me if I talk to a robot all day with a concerned look in her eyes. Kind of, yeah. Personally, I’ve always struggled with working alone. I get a burst of energy to create something: a Schutzblog draft, a business idea, even where to go for dinner, but the flow always dries up, leaving me stuck. I hit the limit of what I can do alone, knowing that more effort won’t help, but the work still isn’t done. Rather than give up, I’ve learned this is my signal to search for feedback: coworkers, customers, poor unsuspecting patients, my wife and children. Each conversation helps me iterate, but after two or three rounds I notice the same look in everyone’s eyes when they get hit with the “Schutzbank firehose.” I’m ready for round seven, but my partners are ready to tap out. Don’t miss out on the latest Schutzblog, subscribe now! Paid subscribers get early access to new content + the full archive. Maybe you’ve felt this too. But when you build with Claude, it lets you free your ideas from the prison of your mind. You share an outline of your idea, and it starts to add the missing pieces–the JavaScript you don’t know, the pictures you can’t draw, the regulations you are terrified to break. Each round of question and answer refines your idea, crystallizing it into a form that you’ll know is right when you see it, but you could not have created alone. You are able to give feedback on your own work. As a benefit, because the AI did the work, you don’t fall in love with bad versions. No sunk cost, no endowment effect, no guilt from demanding 100 wedding cakes when no baker is suffering—just sustained creative flow that turns concepts into prototypes. And it turns out that concepts die unless they become prototypes. The distance from concept to working product used to require trading your equity (at a steep discount) for outside funding, so that you can hire (and manage, ugh) teams of expensive people all before you even know if the thing works or if anyone wants it. Yuck. But now you can quickly and cheaply build a prototype by yourself, unencumbered. That’s the superpower, the promise of vibe coding: not drone armies replacing us, but power armor—amplifying what each of us can create in ways that were too expensive, too slow, or too dilutive to attempt before. So what could you imagine doing? What have you been putting off because, “reasons”? Let’s not pretend that vibe coding is unmitigated upside. LLMs hallucinate, they confidently spit out wrong answers, they zone out when you flood them with information. Who cares? You know who else does that? People. “It works on my machine.” “I already checked that!” All things you’ve heard from your expert teammates, and you shrug and roll with it. Understanding the veracity of information is still your job as a creator. Clinicians already know this lesson well—we repeat labs when we don’t like the results, compulsively recheck medication lists, and ask historical questions five different ways when things don’t add up. Apply this discipline to your vibe coding. If it doesn’t make sense, ask again. Or ask a different LLM. When the conversation starts to wobble, start a new one. Unlike people, it won’t get angry, impatient, or defensive. It can’t. So stop worrying how far these tools can go and start asking how easily you can begin. So what have I done with my new suit of power armor? * Calendar sync: built a Google Apps Script to allow my clients to see my availability without seeing my business. Just set my calendar and forget it. Blows Calendly out of the water. * Winter tire sensor: I finally grew up and got winter tires, but when to put them on? When the average temperature is under 45°F for 5 out of 7 days in a row. Who has time to keep track of that? Yup, another Google Apps Script that emails me when it is time to change them. * Schutzbot: Schutzblog is a knowledge library, but it is published like a periodical. Schutzbot serves as the librarian, directing you to the most relevant articles, rather than the most recent. I’m pretty sure it is the only chatbot hacked onto Substack. Maybe next time I’ll tell you how. * Schutzduck: an AI advisor trained on my writing—wise, irreverent, available 24/7 to help you get unstuck on that big decision. I built the whole SaaS business (auth, payments, usage tracking) iteratively with Claude. Feeling stuck? Chat with the duck. This is a rallying cry for the creative-yet-technically-limited. Those who dream in colors but cannot draw. But now you can! Make your mad visions real enough that you—or someone who knows what they’re doing—can take them further. Skip the awkward “what does that word mean?” part of learning a new skill, because you can teach yourself by doing. Your goal isn’t perfection—it’s either “works good enough for me” or “clear enough to hand off.” Both are wins. Don’t know where to start? Pick one problem. Open Claude. Describe it. See what happens! Don’t miss out on the latest Schutzblog, subscribe now! Paid subscribers get early access to new content + the full archive. Get full access to Schutzblog at www.schutzblog.com/subscribe

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Schutztalks: the audio companion to the Schutzblog; innovating in healthcare and beyond. www.schutzblog.com