CPT 78262
Gastroesophageal reflux std
Last reviewed August 2026 · DataLily AI data team
Pilot Analysis
Get the complete CPT 78262 analysis
Tell us where to send it. Our team will prepare an analysis of CPT 78262 covering what payers reimburse across markets and where your rate may sit, and email it to you within 5-10 business days. Need it faster? Book a demo.
CPT 78262 at a glance
- Code
- 78262
- Code type
- CPT/HCPCS
- Short descriptor
- Gastroesophageal reflux std
- Category
- ASC Ancillary
- ASC eligibility
- ASC-eligible (ancillary)
- Typical setting
- Ambulatory surgery center (POS 24) or hospital outpatient department (POS 22).
- Medicare ASC rate
- $220.34 national · 2026Q2
What is CPT code 78262?
CPT 78262 is a CPT/HCPCS procedure code for gastroesophageal reflux std. Its official short descriptor is "Gastroesophageal reflux std". In the ASC context it is grouped under ASC Ancillary.
Is CPT 78262 eligible in an ambulatory surgery center (ASC)?
CPT 78262 is an ancillary service that can be provided in the ASC setting when it supports a surgical procedure.
Where is CPT 78262 typically performed?
Ambulatory surgery center (POS 24) or hospital outpatient department (POS 22).
What is the Medicare ASC payment rate for CPT 78262?
The national Medicare ASC payment rate for CPT 78262 is $220.34 (Medicare ASC Payment System, 2026Q2). This is the national, unadjusted Medicare amount; the amount an individual ambulatory surgery center is paid is adjusted for local wage index and may differ. It reflects Medicare's facility payment only and does not include the surgeon's professional fee.
Which specialties use CPT 78262?
CPT 78262 is most associated with Diagnostic Radiology.
Reference information about ASC eligibility and typical procedure setting. Codes, descriptors, and ASC-eligibility status change over time. This is a coding reference, not billing, coding, or legal advice. Always verify against current guidance and individual payer policy before scheduling or billing. CPT is a registered trademark of the American Medical Association. Read the DataLily AI data methodology.