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Data capture specialist vs data collection specialist

The differences between data capture specialists and data collection specialists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data capture specialist, becoming a data collection specialist takes usually requires 6-12 months. Additionally, a data collection specialist has an average salary of $43,904, which is higher than the $42,674 average annual salary of a data capture specialist.

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

Data capture specialist vs data collection specialist overview

Data Capture SpecialistData Collection Specialist
Yearly salary$42,674$43,904
Hourly rate$20.52$21.11
Growth rate10%-8%
Number of jobs89,05795,839
Job satisfaction--
Most common degreeBachelor's Degree, 35%Bachelor's Degree, 46%
Average age4446
Years of experience212

Data capture specialist vs data collection specialist salary

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

Data Capture SpecialistData Collection Specialist
Average salary$42,674$43,904
Salary rangeBetween $26,000 And $69,000Between $27,000 And $70,000
Highest paying City--
Highest paying state--
Best paying company--
Best paying industry--

Differences between data capture specialist and data collection specialist education

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

Data Capture SpecialistData Collection Specialist
Most common degreeBachelor's Degree, 35%Bachelor's Degree, 46%
Most common majorBusinessBusiness
Most common college--

Data capture specialist vs data collection specialist demographics

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

Data Capture SpecialistData Collection Specialist
Average age4446
Gender ratioMale, 25.4% Female, 74.6%Male, 33.8% Female, 66.2%
Race ratioBlack 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, 14.5% Unknown, 4.1% Hispanic or Latino, 16.5% Asian, 3.8% White, 60.6% American Indian and Alaska Native, 0.5%
LGBT Percentage5%8%

Differences between data capture specialist and data collection specialist 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.
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Data collection specialist example responsibilities.

  • Manage and prepare pharmaceutical records for multiple FDA audits.
  • Enter proper diagnostic code (ICD-9), procedure codes (CPT) which patient is treated under.
  • Produce crime maps using GIS software.
  • Operate with strict adherence to data security practices in compliance with HIPPA.
  • Comply with HIPAA laws, contact doctors and hospital staff in gathering sensitive patient information.
  • Conduct medical and billing record requests, according to most recent and establish HIPAA privacy laws.
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Data capture specialist vs data collection specialist skills

Common data capture specialist skills
  • CPT, 20%
  • Epic, 17%
  • Data Capture, 12%
  • EMR, 7%
  • ICD-9, 5%
  • Data Entry Functions, 5%
Common data collection specialist skills
  • Data Collection, 44%
  • Computer Database, 7%
  • Data Entry, 6%
  • Outbound Calls, 5%
  • Telephone Interviews, 4%
  • Authorization Forms, 3%

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