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The differences between medical record consultants 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 consultant and a medical coder. Additionally, a medical record consultant has an average salary of $65,078, which is higher than the $51,563 average annual salary of a medical coder.
The top three skills for a medical record consultant include cerner, practice management and elbow support. The most important skills for a medical coder are CPC, medical terminology, and ICD-10-CM.
| Medical Record Consultant | Medical Coder | |
| Yearly salary | $65,078 | $51,563 |
| Hourly rate | $31.29 | $24.79 |
| Growth rate | 11% | 11% |
| Number of jobs | 55,953 | 51,316 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 54% | Associate Degree, 37% |
| Average age | 45 | 45 |
| Years of experience | 12 | 12 |
Medical record consultants and medical coders have different pay scales, as shown below.
| Medical Record Consultant | Medical Coder | |
| Average salary | $65,078 | $51,563 |
| Salary range | Between $53,000 And $79,000 | 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 consultant and a medical coder in terms of educational background:
| Medical Record Consultant | Medical Coder | |
| Most common degree | Bachelor's Degree, 54% | Associate Degree, 37% |
| Most common major | Nursing | Health Care Administration |
| Most common college | Duke University | Stanford University |
Here are the differences between medical record consultants' and medical coders' demographics:
| Medical Record Consultant | Medical Coder | |
| Average age | 45 | 45 |
| Gender ratio | Male, 34.4% Female, 65.6% | Male, 13.2% Female, 86.8% |
| Race ratio | Black or African American, 10.9% Unknown, 4.2% Hispanic or Latino, 15.1% Asian, 9.1% White, 59.3% 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% |