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Fetal Non-Stress Test Cost in South Carolina

59025 (CPT)

The cost of Fetal Non-Stress Test (CPT 59025) in South Carolina ranges from $447 to $1,113 cash price (without insurance). We found pricing data from 3 hospitals.

A fetal non-stress test is a prenatal test that checks the health of the baby during pregnancy. It is typically done when the baby is at least 28 weeks old. During the test, the baby's heart rate is monitored for changes in response to the baby's movements. This can help the healthcare provider assess if the baby is getting enough oxygen and is developing normally.

You could save $666 by choosing Grand Strand Regional Medical Center over Trident Medical Center

3 hospitals
Cash Price
(No Insurance)
$610
Gross Charge
$6,342

No payer-negotiated rates available

Cash Price
(No Insurance)
$720
Gross Charge
$5,618

No payer-negotiated rates available

Cash Price
(No Insurance)
$1,113
Gross Charge
$5,618

No payer-negotiated rates available

Compare Fetal Non-Stress Test Prices

Frequently Asked Questions

How much does Fetal Non-Stress Test cost in South Carolina?
Cash prices for Fetal Non-Stress Test (CPT 59025) in South Carolina range from $447 to $1,113 across 3 hospitals.
Which hospital in South Carolina has the cheapest Fetal Non-Stress Test?
Grand Strand Regional Medical Center has the lowest cash price for Fetal Non-Stress Test in South Carolina at $447. The highest price is $1,113 at Trident Medical Center.
How do South Carolina Fetal Non-Stress Test prices compare to the national average?
The South Carolina average cash price for Fetal Non-Stress Test is $797, which is 47% above the national average of $544.

Prices shown are sourced from hospital price transparency files published under the Hospital Price Transparency Rule. Actual costs may vary based on your insurance plan, specific clinical circumstances, and additional services required. These prices are not a quote or guarantee.

This site does not provide medical advice. Always consult with your healthcare provider and insurance company before making decisions about medical care. Learn more about our data sources.