Data capture specialist vs data processor

The differences between data capture specialists and data processors 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 processor. Additionally, a data capture specialist has an average salary of $42,674, which is higher than the $33,076 average annual salary of a data processor.

The top three skills for a data capture specialist include CPT, epic and data capture. The most important skills for a data processor are computer database, data processing, and financial data.

Data capture specialist vs data processor overview

	Data Capture Specialist	Data Processor
Yearly salary	$42,674	$33,076
Hourly rate	$20.52	$15.90
Growth rate	10%	-
Number of jobs	89,057	92,954
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 40%
Average age	44	44
Years of experience	2	2

Data capture specialist vs data processor salary

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

	Data Capture Specialist	Data Processor
Average salary	$42,674	$33,076
Salary range	Between $26,000 And $69,000	Between $26,000 And $40,000
Highest paying City	-	Los Angeles, CA
Highest paying state	-	Alaska
Best paying company	-	AECOM
Best paying industry	-	Technology

Differences between data capture specialist and data processor education

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

	Data Capture Specialist	Data Processor
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 40%
Most common major	Business	Business
Most common college	-	-

Data capture specialist vs data processor demographics

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

	Data Capture Specialist	Data Processor
Average age	44	44
Gender ratio	Male, 25.4% Female, 74.6%	Male, 31.2% Female, 68.8%
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, 9.9% Unknown, 4.2% Hispanic or Latino, 20.7% Asian, 8.5% White, 56.1% American Indian and Alaska Native, 0.6%
LGBT Percentage	5%	5%

Differences between data capture specialist and data processor 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 processor example responsibilities.

Manage and prepare pharmaceutical records for multiple FDA audits.
Research the CPT coding manual and edit reference codes from CMS.
Utilize knowledge of diagnosis codes and CPT codes to prevent denial of claim.
Process Medicare and Medicaid papers.
Enter data information about insurance claims for Medicaid.
Demonstrate understanding of HIPAA laws and ability to maintain confidentiality.

Data capture specialist vs data processor skills

Common data capture specialist skills

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

Common data processor skills

Computer Database, 18%
Data Processing, 16%
Financial Data, 5%
Data Entry, 5%
Computer System, 5%
QC, 5%

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Data Capture Specialist vs Data Processor

Updated January 8, 2025

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