The “AI vs AI” Era of Medical Claims, and What It Means for Patients
Hospitals and insurers are using artificial intelligence to speed up claims decisions, but patients may experience more delays, not fewer
How AI is used in healthcare billing and insurance
Why medical claims get denied
What the data shows about denials and appeals
How AI can delay patient care
Why the system works this way
What this means for patients
How AI is used in healthcare billing and insurance
So far, AI is being added to healthcare mainly to handle paperwork.
Hospitals use it to turn doctor visits into notes and billing codes. Insurance companies use their own AI to review those claims.
The process now looks like this:
visit → AI notes → AI coding → AI review → approval, delay, or denial.
Because both sides use AI, some describe this as “AI versus AI.”
The system is faster — at both approving and denying claims.
Why medical claims get denied
These systems depend on documentation.
If something is missing or unclear, a claim can be denied, even if the recommended care was appropriate.
Many denials are not about whether care was needed. They are about how the information is written and submitted.
This makes small paperwork issues very important.
What the data shows about denials and appeals
In Medicare Advantage, more than 80% of denied prior authorization requests are approved after appeal.
This suggests many denials are not final judgments about care.
They are decisions that often get reversed, but only after more time and effort.
Not every patient appeals. Not every provider has the time.
So the first decision often shapes what happens next.
How AI can delay patient care
AI speeds up decisions, including denials.
If care needs prior authorization, it cannot move forward without approval. If it is denied, the next step is an appeal.
That creates delays, even when the denial is later overturned.
The sequence is simple:
care is recommended → approval is required → denial → appeal → delay.
AI makes this sequence faster, but it does not remove it.
Why the system works this way
The issue is not the technology. It is the incentives.
Hospitals are paid to document and bill more. Insurers are paid to control costs.
AI helps both sides do this more efficiently.
The U.S. spends about 18% of its economy on healthcare, with a large share going to administration.
AI is speeding up that system, not changing it.
What this means for patients
Most AI in healthcare isn’t yet visible to patients, but it affects their access to care.
Patients can ask why a claim was denied and file an appeal. Some tools can help review bills or draft appeals.
But the basic structure remains the same.
Care depends not only on medical decisions, but on whether those decisions are approved.