The Upside Down Test for Productivity
Hatched by Craig Premo
Aug 20, 2026
9 min read
1 views
91%
What if the people producing more are not actually creating more value? In many organizations, the answer is hidden in plain sight because leaders look at the picture they expect to see rather than the lines that make it up.
A striking pattern has emerged in physician practice. Provider productivity, measured by work relative value units per full time equivalent, has risen 7 percent since 2023. Compensation has risen 6 percent, while reimbursement per work unit has declined 1 percent. At the same time, the median subsidy required to support a physician has reached $315,358, and labor expenses account for 84.4 percent of practice costs.
These numbers appear to tell a familiar story: clinicians are working harder, organizations are paying more, and the economics are getting worse. But there is a deeper possibility. Perhaps the central problem is not simply that productivity is rising faster than pay. Perhaps the organization is drawing the wrong picture of productivity altogether.
The same cognitive error appears in an unlikely place: a drawing exercise. When people copy a familiar object, they often draw what they believe they know, not what they actually see. Turn the reference upside down, however, and the object becomes difficult to name. The mind stops supplying symbols and begins attending to angles, spaces, proportions, and lines.
That is the discipline healthcare economics urgently needs. To understand productivity, we must turn the picture upside down.
The Danger of Drawing What We Think We See
A physician is not a bundle of work units. A patient visit is not merely a billable event. A practice is not simply a cost center with a revenue line attached. Yet once a measurement system becomes familiar, it can begin to replace reality.
Work relative value units are useful. They provide a common language for comparing clinical activity across specialties and procedures. But every useful measure creates a temptation: to treat the measure as the thing itself. When leaders say that productivity has increased, they may mean that more coded work has been completed. They may not know whether access improved, whether care became more effective, whether patients avoided complications, or whether clinicians spent less time repairing failures created elsewhere in the system.
This is label blindness: the tendency to see the category before seeing the underlying structure.
Consider an administrator reviewing two physicians. Physician A generates 7,000 work units by seeing a high volume of straightforward follow up visits. Physician B generates 5,500 work units while coordinating complex care, answering urgent messages, reviewing outside records, and preventing several emergency department visits. The metric may correctly report that Physician A produced more measured work. It cannot, by itself, establish that Physician A created more value.
The difficulty is not that the metric is false. The difficulty is that it is incomplete, then treated as complete.
The drawing exercise offers a practical metaphor. When the image is upside down, the artist cannot rely on the familiar label, such as face, hand, chair, or bird. The artist must observe the actual relationship between one line and another. In a clinical organization, the equivalent move is to stop asking only, “How many units did this person generate?” and begin asking:
- What work actually occurred?
- Which parts of that work were visible to the billing system?
- Which results depended on work that was never coded?
- Where did effort increase without a corresponding improvement in patient outcomes, access, or financial performance?
This shift sounds subtle, but it changes the entire inquiry. Instead of judging the picture by its name, we inspect its geometry.
When More Output Produces Less Economic Security
The current physician economics reveal a paradox. Productivity is up 7 percent. Compensation is up 6 percent. Reimbursement per work unit is down 1 percent. This means that additional effort is not translating proportionally into additional financial support.
A simple analogy makes the problem clearer. Imagine a bakery where the staff produces 107 loaves instead of 100. Wages rise from 100 dollars to 106 dollars, but the selling price per loaf falls by 1 percent. The bakery is busier, and each worker may feel more pressure, yet the business has less room to absorb rent, equipment, waste, and administrative costs. More production has not solved the economic problem. It has intensified the exposure to it.
Healthcare organizations often respond to this pattern by demanding still more throughput. The logic is understandable: if each unit yields less revenue, produce more units. But this response can create a destructive loop:
- Reimbursement per unit declines.
- The organization raises volume expectations.
- Clinicians compress visits and increase documentation speed.
- Unmeasured coordination and recovery work expand.
- Burnout, turnover, and access problems grow.
- The organization pays more for recruitment, coverage, and subsidies.
- Leadership interprets the result as evidence that even more productivity is needed.
The loop confuses activity with adaptation. A system under economic pressure can become extremely active while becoming less capable.
The median physician subsidy of $315,358 is especially revealing. A subsidy is often discussed as though it were a disappointing score attached to an individual physician. In reality, it may be a composite signal of many design choices: payer mix, specialty complexity, staffing levels, scheduling templates, referral patterns, documentation requirements, clinic space, technology, and the amount of essential work that produces no direct billable unit.
Blaming the physician is like blaming an artist because a drawing contains too many erasures, without asking whether the reference was distorted or whether the paper was moving. The subsidy may reflect individual performance, but it may also expose the structure surrounding that performance.
A rising subsidy is not automatically proof of low productivity. It may be evidence that the organization has priced, measured, or designed the work incorrectly.
The Missing Geometry of Clinical Work
The most important work in a practice often exists in the spaces between visible events. A patient receives a medication because a clinician noticed a dangerous interaction while reviewing an outside record. A specialist prevents a hospitalization by interpreting a subtle change in symptoms during a phone call. A primary care physician coordinates with a social worker so a patient can actually follow a treatment plan.
These actions may be clinically decisive and economically invisible.
This is why the upside down method matters. It directs attention toward relationships rather than objects. In drawing, a beginner may focus on the object itself, such as the shape of an eye. A skilled observer studies the negative space around it, the distance between two edges, and the angle formed by adjacent lines. In healthcare operations, the equivalent of negative space includes:
- Time spent coordinating with other clinicians.
- Work required to correct incomplete information.
- Patient communication that prevents avoidable utilization.
- Delays caused by authorization, scheduling, or fragmented records.
- Cognitive load created by switching between unrelated tasks.
- The downstream cost of rushed encounters.
These spaces are not peripheral. They determine whether the visible work holds together.
A practice can therefore be evaluated through a three layer productivity model.
Layer one: Recorded activity
This includes work units, visits, procedures, messages, and other events captured by existing systems. It is the easiest layer to count and the most dangerous layer to mistake for the whole.
Layer two: Friction and hidden labor
This includes coordination, rework, documentation burden, troubleshooting, and interruptions. It explains why two clinicians with identical measured output may experience radically different workloads.
Layer three: Consequences
This includes access, patient outcomes, avoidable utilization, retention, quality, and total cost of care. It asks whether activity produced a useful result.
Many organizations manage layer one while financially absorbing the consequences of layers two and three. They optimize the visible line and ignore the shape of the surrounding space.
A Better Way to Inspect Productivity
Turning the picture upside down does not mean abandoning metrics. It means using them with enough humility to test their assumptions.
The first step is to separate volume, value, and viability.
Volume asks: How much measured work was completed?
Value asks: What changed because that work occurred?
Viability asks: Can the system continue producing that result without exhausting its people or requiring ever larger subsidies?
These questions should be reviewed together. A high volume score with poor outcomes is a warning. Strong outcomes with unsustainable labor demands are also a warning. Financial viability without access or quality may represent cost shifting rather than success.
The second step is to investigate variance rather than averages. A median subsidy of $315,358 tells us that the center of the distribution is high, but it does not explain why. Leaders should examine the practice by specialty, site, payer, appointment type, staffing model, and patient complexity. The most useful question is not “Who is unproductive?” but “What conditions produce the greatest gap between measured activity and economic result?”
For example, suppose one clinic has lower work units but fewer cancellations, stronger continuity, and fewer urgent escalations. Another has higher work units but heavy turnover and large amounts of after hours work. The first clinic may look weaker under a narrow productivity lens while being more resilient under a system lens.
The third step is to perform an inversion review. For any important metric, ask what would happen if its interpretation were reversed.
If work units rise, could that indicate better access, or could it indicate shorter visits and more fragmented care?
If compensation rises, could that reflect healthy investment, or could it reflect a desperate attempt to retain people in a deteriorating system?
If subsidies rise, could that indicate physician underperformance, or could it reveal that the practice is serving complex patients under inadequate reimbursement?
This is not an argument for cynicism. It is an argument for resisting the first plausible story.
The fourth step is to make invisible work visible. Clinicians can track a representative week by category rather than by vague impressions. How much time goes to direct care, coordination, documentation, inbox management, rework, waiting, and interruptions? Leaders can then compare this map with the activities that generate revenue. The gap between the two is not administrative trivia. It is the economic anatomy of the practice.
Finally, organizations should experiment with small changes and observe the geometry of the system. A protected coordination block, a redesigned team role, a simpler authorization process, or a different scheduling template may reduce measured throughput temporarily while improving total performance. The relevant test is not whether one line moved upward. It is whether the whole drawing became more coherent.
Key Takeaways
- Treat every productivity metric as a partial view. Work units measure recorded activity, not the full value or cost of clinical work.
- Separate volume, value, and viability. Ask how much work occurred, what changed for patients, and whether the system can sustain the result.
- Map the invisible labor. Track coordination, rework, documentation, interruptions, and recovery work alongside billable activity.
- Investigate system conditions before assigning individual blame. High subsidies may reflect complexity, poor design, inadequate reimbursement, or fragmented workflows.
- Use inversion reviews. For every apparently positive trend, ask what alternative explanation could produce the same number.
The deepest lesson is not about drawing or healthcare finance. It is about the danger of confusing recognition with perception. Once we name something, we become tempted to stop looking at it.
A physician practice is not a picture called productivity. It is a network of relationships between time, attention, information, trust, money, and outcomes. The visible units are only the lines. The value of the work lies in how those lines fit together.
So when productivity rises and financial security falls, the right response is not automatically to demand more output. First, turn the picture upside down. Stop asking what the metric is called. Look at what is actually happening, line by line, space by space, consequence by consequence.
That is where the real economics begin.
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