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The differences between icd-9 coders and medical service technicians can be seen in a few details. Each job has different responsibilities and duties. Additionally, an icd-9 coder has an average salary of $52,080, which is higher than the $37,943 average annual salary of a medical service technician.
The top three skills for an icd-9 coder include medical terminology, ICD-10-CM and clinical documentation. The most important skills for a medical service technician are patients, customer service, and vital signs.
| Icd-9 Coder | Medical Service Technician | |
| Yearly salary | $52,080 | $37,943 |
| Hourly rate | $25.04 | $18.24 |
| Growth rate | 11% | 7% |
| Number of jobs | 4,246 | 189,362 |
| Job satisfaction | - | - |
| Most common degree | Associate Degree, 40% | Bachelor's Degree, 31% |
| Average age | 45 | 36 |
| Years of experience | 12 | - |
Icd-9 coders and medical service technicians have different pay scales, as shown below.
| Icd-9 Coder | Medical Service Technician | |
| Average salary | $52,080 | $37,943 |
| Salary range | Between $38,000 And $70,000 | Between $23,000 And $61,000 |
| Highest paying City | - | Salem, MA |
| Highest paying state | - | Connecticut |
| Best paying company | - | Sunrise Systems |
| Best paying industry | - | Government |
There are a few differences between an icd-9 coder and a medical service technician in terms of educational background:
| Icd-9 Coder | Medical Service Technician | |
| Most common degree | Associate Degree, 40% | Bachelor's Degree, 31% |
| Most common major | Nursing | Nursing |
| Most common college | University of Pennsylvania | University of Virginia |
Here are the differences between icd-9 coders' and medical service technicians' demographics:
| Icd-9 Coder | Medical Service Technician | |
| Average age | 45 | 36 |
| Gender ratio | Male, 8.6% Female, 91.4% | Male, 30.8% Female, 69.2% |
| Race ratio | Black or African American, 8.6% Unknown, 4.3% Hispanic or Latino, 14.7% Asian, 9.8% White, 61.3% American Indian and Alaska Native, 1.3% | Black or African American, 6.5% Unknown, 5.7% Hispanic or Latino, 15.2% Asian, 4.5% White, 67.3% American Indian and Alaska Native, 0.8% |
| LGBT Percentage | 9% | 8% |