CPT 27067
Remove/graft hip bone lesion
Last reviewed August 2026 · DataLily AI data team
Pilot Analysis
Get the complete CPT 27067 analysis
Tell us where to send it. Our team will prepare an analysis of CPT 27067 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 27067 at a glance
- Code
- 27067
- Code type
- CPT/HCPCS
- Short descriptor
- Remove/graft hip bone lesion
- Category
- ASC Surgical
- ASC eligibility
- ASC-eligible (surgical)
- Typical setting
- Ambulatory surgery center (POS 24) or hospital outpatient department (POS 22).
- Medicare ASC rate
- $5,244.73 national · 2026Q2
What is CPT code 27067?
CPT 27067 is a CPT/HCPCS procedure code for Remove/graft hip bone lesion. Its official short descriptor is "Remove/graft hip bone lesion". In the ASC context it is grouped under ASC Surgical.
Is CPT 27067 eligible in an ambulatory surgery center (ASC)?
CPT 27067 can be performed in a certified ambulatory surgery center.
Where is CPT 27067 typically performed?
Ambulatory surgery center (POS 24) or hospital outpatient department (POS 22).
What is the Medicare ASC payment rate for CPT 27067?
The national Medicare ASC payment rate for CPT 27067 is $5,244.73 (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 27067?
CPT 27067 is most associated with General Surgery, Orthopaedic Surgery.
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.