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The differences between scanning technicians and health information specialists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 6-12 months to become both a scanning technician and a health information specialist. Additionally, a scanning technician has an average salary of $34,937, which is higher than the $33,343 average annual salary of a health information specialist.
The top three skills for a scanning technician include data entry, QC and image quality. The most important skills for a health information specialist are patients, HIPAA, and medical terminology.
| Scanning Technician | Health Information Specialist | |
| Yearly salary | $34,937 | $33,343 |
| Hourly rate | $16.80 | $16.03 |
| Growth rate | 11% | 11% |
| Number of jobs | 24,954 | 135,448 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 36% | Bachelor's Degree, 38% |
| Average age | 45 | 45 |
| Years of experience | 12 | 12 |
Scanning technicians and health information specialists have different pay scales, as shown below.
| Scanning Technician | Health Information Specialist | |
| Average salary | $34,937 | $33,343 |
| Salary range | Between $24,000 And $49,000 | Between $25,000 And $42,000 |
| Highest paying City | - | San Jose, CA |
| Highest paying state | - | California |
| Best paying company | - | University of California |
| Best paying industry | - | Health Care |
There are a few differences between a scanning technician and a health information specialist in terms of educational background:
| Scanning Technician | Health Information Specialist | |
| Most common degree | Bachelor's Degree, 36% | Bachelor's Degree, 38% |
| Most common major | Business | Health Care Administration |
| Most common college | Stanford University | University of Southern California |
Here are the differences between scanning technicians' and health information specialists' demographics:
| Scanning Technician | Health Information Specialist | |
| Average age | 45 | 45 |
| Gender ratio | Male, 40.7% Female, 59.3% | Male, 15.1% Female, 84.9% |
| Race ratio | Black or African American, 9.4% Unknown, 4.2% Hispanic or Latino, 17.3% Asian, 8.6% White, 59.2% American Indian and Alaska Native, 1.3% | Black or African American, 9.3% Unknown, 4.2% Hispanic or Latino, 17.5% Asian, 8.7% White, 59.0% American Indian and Alaska Native, 1.3% |
| LGBT Percentage | 9% | 9% |