We work in systems where ideal diagnostics are not always available.
That’s not new. It’s the reality most of us have adapted to.
Decisions get made with incomplete data.
Sometimes that’s the best that can be done.
But over time, I’ve started to notice something less obvious—
not just in the system, but in how I think within it.
When does necessary adaptation become explanation?
And when does explanation start to feel like justification?
One way I’ve been trying to frame this is through what I’d call deflection bias:
the tendency to externalize responsibility for clinical uncertainty—attributing decisions to system constraints—thereby reducing internal accountability and limiting reflection.
Not always incorrect.
But not always examined either.
A recent case brought this into focus for me.
A patient presented with a small, hard, non-tender mass over the anterior distal leg.
Pain occurred only with strenuous weight-bearing, without systemic symptoms.
Radiographs showed well-defined lytic lesions without cortical break or sequestrum.
Advanced imaging—CT, MRI, nuclear scans—was not available.
The working impression leaned toward a benign tumor, though infection remained in the differential.
Surgery proceeded.
Intraoperatively, the lesion was consistent with chronic osteomyelitis with abscess formation not evident on plain films.
Cases like this are familiar in our setting.
What I’m less certain about is how often we examine the reasoning around them.
Because in environments like ours, system limitations don’t just shape what we can do—
they can also shape how we explain what we do.
And sometimes, that explanation becomes a way to settle uncertainty a little too quickly.
The literature is consistent on one point:
clinical outcomes are shaped by both system constraints and cognitive processes—they interact, not compete (Croskerry, 2003; Graber et al., 2005; WHO, 2020).
Which makes the question less about blame, and more about awareness.
Even within constraint, how we think still influences what happens next.
So I’m putting this out to colleagues in #Healthxph—not as a conclusion, but as a point for reflection:
- T1. When do system constraints appropriately guide our decisions—and when do they begin shaping how we justify them?
- T2. How often do we revisit decisions initially attributed to “limitations” and re-examine our clinical reasoning?
- T3. In a constrained system, what does accountable decision-making actually look like in practice?
No clear answers on my end yet.
Just a growing sense that this is worth looking at more closely.
Inviting everyone to the #HealthXPh Chat this Saturday, March 21, 2026, 9–10 PM MlaTime. Let’s have the conversation medicine rarely makes space for.





