Data capture specialist vs data conversion operator

The differences between data capture specialists and data conversion operators can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a data capture specialist and a data conversion operator. Additionally, a data capture specialist has an average salary of $42,674, which is higher than the $36,140 average annual salary of a data conversion operator.

The top three skills for a data capture specialist include CPT, epic and data capture. The most important skills for a data conversion operator are data entry, computer system, and error rate.

Data capture specialist vs data conversion operator overview

	Data Capture Specialist	Data Conversion Operator
Yearly salary	$42,674	$36,140
Hourly rate	$20.52	$17.38
Growth rate	10%	-
Number of jobs	89,057	91,671
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 38%
Average age	44	44
Years of experience	2	2

Data capture specialist vs data conversion operator salary

Data capture specialists and data conversion operators have different pay scales, as shown below.

	Data Capture Specialist	Data Conversion Operator
Average salary	$42,674	$36,140
Salary range	Between $26,000 And $69,000	Between $24,000 And $54,000
Highest paying City	-	-
Highest paying state	-	-
Best paying company	-	-
Best paying industry	-	-

Differences between data capture specialist and data conversion operator education

There are a few differences between a data capture specialist and a data conversion operator in terms of educational background:

	Data Capture Specialist	Data Conversion Operator
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 38%
Most common major	Business	Business
Most common college	-	-

Data capture specialist vs data conversion operator demographics

Here are the differences between data capture specialists' and data conversion operators' demographics:

	Data Capture Specialist	Data Conversion Operator
Average age	44	44
Gender ratio	Male, 25.4% Female, 74.6%	Male, 27.2% Female, 72.8%
Race ratio	Black or African American, 10.5% Unknown, 4.4% Hispanic or Latino, 18.8% Asian, 9.9% White, 55.8% American Indian and Alaska Native, 0.6%	Black or African American, 7.6% Unknown, 4.6% Hispanic or Latino, 18.6% Asian, 7.9% White, 60.4% American Indian and Alaska Native, 0.8%
LGBT Percentage	5%	5%

Differences between data capture specialist and data conversion operator duties and responsibilities

Data capture specialist example responsibilities.

Audit nurse and system charges in order to promote ICD-9 and CPT compliant hospital coding.
Audit chart notes for documentation to support coding by utilizing EMR.
Identify infusion, injection and transfusion charges per existing CPT hierarchy guidelines.
Charge entry and ensuring correctness of coding in the CDM and clinical documentation, and providing ongoing education to charging departments.
Collect feature and attribute data in the MicroStation GIS relational database environment.
Contact doctor offices, insurance companies and patients to request information relate to clarifications on prescriptions and insurance information.

Data conversion operator example responsibilities.

Manage and prepare pharmaceutical records for multiple FDA audits.
Key at over 7,000 ksph.
Exceed all minimum keying requirements to obtain top DCO ranking.
Administer disciplinary actions as required and DCO's time keeping.
Peruse PC mail image for request address information and convert to code.
Maintain over 12,00 ksph with 99 percent accuracy, verify by weekly audits.

Data capture specialist vs data conversion operator skills

Common data capture specialist skills

CPT, 20%
Epic, 17%
Data Capture, 12%
EMR, 7%
ICD-9, 5%
Data Entry Functions, 5%

Common data conversion operator skills

Data Entry, 43%
Computer System, 11%
Error Rate, 6%
ZIP Codes, 6%
Postal Service, 5%
WPM, 4%

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Data Capture Specialist vs Data Conversion Operator

Updated January 8, 2025

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