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The differences between medical record librarians and medical coders can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-12 months to become both a medical record librarian and a medical coder. Additionally, a medical record librarian has an average salary of $56,115, which is higher than the $51,563 average annual salary of a medical coder.
The top three skills for a medical record librarian include HIPAA, customer service and front desk. The most important skills for a medical coder are CPC, medical terminology, and ICD-10-CM.
| Medical Record Librarian | Medical Coder | |
| Yearly salary | $56,115 | $51,563 |
| Hourly rate | $26.98 | $24.79 |
| Growth rate | 11% | 11% |
| Number of jobs | 48,546 | 51,316 |
| Job satisfaction | 5 | - |
| Most common degree | Bachelor's Degree, 43% | Associate Degree, 37% |
| Average age | 45 | 45 |
| Years of experience | 12 | 12 |
Medical record librarians and medical coders have different pay scales, as shown below.
| Medical Record Librarian | Medical Coder | |
| Average salary | $56,115 | $51,563 |
| Salary range | Between $41,000 And $76,000 | Between $37,000 And $70,000 |
| Highest paying City | - | Trenton, NJ |
| Highest paying state | - | Hawaii |
| Best paying company | - | Meta |
| Best paying industry | - | Health Care |
There are a few differences between a medical record librarian and a medical coder in terms of educational background:
| Medical Record Librarian | Medical Coder | |
| Most common degree | Bachelor's Degree, 43% | Associate Degree, 37% |
| Most common major | Biology | Health Care Administration |
| Most common college | University of Michigan - Ann Arbor | Stanford University |
Here are the differences between medical record librarians' and medical coders' demographics:
| Medical Record Librarian | Medical Coder | |
| Average age | 45 | 45 |
| Gender ratio | Male, 27.3% Female, 72.7% | Male, 13.2% Female, 86.8% |
| Race ratio | Black or African American, 8.1% Unknown, 4.2% Hispanic or Latino, 17.6% Asian, 6.8% White, 62.0% American Indian and Alaska Native, 1.3% | Black or African American, 9.2% Unknown, 4.2% Hispanic or Latino, 16.2% Asian, 9.0% White, 60.1% American Indian and Alaska Native, 1.3% |
| LGBT Percentage | 9% | 9% |