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Home»Healthcare Innovation»Second- and third-guessing decisions is now central to medicine
Healthcare Innovation

Second- and third-guessing decisions is now central to medicine

primereportsBy primereportsApril 21, 2026No Comments5 Mins Read
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In outpatient medicine, decisions move quickly.

A prescription is sent to a pharmacy. A referral goes out to a specialist. A test is ordered. From the patient’s perspective, the process feels immediate. Care begins moving forward as soon as the visit ends.

But often that is only the beginning of the story.

Days or weeks later, the system begins asking questions about the same decision. The pharmacy calls because a medication requires prior authorization. An insurer reviews documentation supporting a claim. A referral triggers a request for additional notes explaining why the service was necessary.

Nothing about the patient’s condition has changed. The decision has already taken effect. The patient may already be improving.

Yet the system has started looking backward.

Spend enough time practicing medicine and a pattern becomes clear: Health care does not simply process clinical decisions as they happen. Instead, it repeatedly revisits them.

A surprising amount of health care administration exists to determine whether decisions were legitimate long after they have already been made.

You can see this pattern across nearly every part of the system.

Second- and third-guessing decisions is now central to medicine

‘Rationing by inconvenience’: Health insurers count on customers not appealing denials

Insurance claims are denied weeks after services are delivered. Hospitals review charts months after patients have gone home. Insurers conduct payment audits long after treatment has occurred. Regulators examine records years after care was provided.

Each of these activities is designed to answer the same basic question: Was the original decision justified?

From the outside, this often looks like bureaucratic inefficiency. From inside the system, it starts to resemble something more structural.

Health care is extremely good at documenting what happened. Electronic medical records capture enormous detail about clinical encounters. But the system rarely settles whether a decision is legitimate at the moment it becomes operational.

Instead, legitimacy is often determined later through a complex network of audits, documentation reviews, denials, appeals, and compliance checks.

You might think of this as the reconstruction layer of health care. Long after a clinical decision has set events in motion, a second system activates to verify whether the decision satisfied the rules.

Entire sectors of the health care economy are built around this process. Utilization management teams review treatment decisions. Coding specialists analyze documentation. Claims auditors examine billing records. Compliance departments review charts.

Each group performs a different task, but they are all participating in the same broader activity: reconstructing the circumstances surrounding a decision that has already taken effect.

For clinicians and patients, the consequences are familiar.

A patient leaves the clinic expecting to pick up medication on the way home, only to learn that approval is still required. A specialist referral triggers requests for additional documentation explaining a decision that was already made in the exam room. A claim submitted weeks earlier is denied because a reviewer later interprets the documentation differently.

None of this changes the clinical moment when the decision occurred. But it creates a system that spends enormous energy revisiting that moment.

This helps explain why administrative costs in American health care remain stubbornly high despite decades of investment in digital technology.

Health care is not simply processing transactions. It is repeatedly examining them.

The issue becomes even more interesting as artificial intelligence begins entering clinical workflows. Many people expect AI tools to dramatically reduce administrative burden by automating tasks like documentation, coding, and chart review.

Those improvements may help. But automation alone cannot eliminate a structural pattern in which the system waits to determine legitimacy until long after actions have already occurred.

If health care continues to rely on reconstruction after the fact, new technologies will simply accelerate how quickly decisions are made without resolving the underlying question of when those decisions become trusted.

An insurance company is introducing a new threat to American medicine

Other industries solved versions of this problem long ago. Financial markets, for example, rely on systems designed to settle transactions at the moment they occur. Once a trade executes, downstream institutions can rely on that event without reopening the question of whether the transaction itself was legitimate.

Health care evolved differently. The system records enormous detail about decisions but often postpones the moment when those decisions are definitively validated. That choice shapes much of the administrative complexity clinicians and patients experience today.

There are ways this could evolve. Health care could begin shifting more of the work of validation closer to the point when decisions are made. Instead of relying so heavily on retrospective review, systems could align documentation, authorization, and clinical context in real time, while the decision is still active and fully understood.

That would require a meaningful change in how the system defines when a decision is settled.

Without that shift, the path forward is more of the same: faster decisions, followed by expanding layers of review. And a system that continues to look backward, even as everything else speeds up.

Holland Haynie, M.D., is a family physician and chief medical officer at Central Ozarks Medical Center in Missouri.

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