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Data Abstraction Jobs in Virginia (NOW HIRING)

Riverside Health System Non-Providers

$34.40 - $47.30/hr

Ensures data abstraction is accurate and timely. Proactively and effectively communicates variances and collaborates to resolve issues. Maintains current reference information materials for registry ...

Saint Luke's Hospital of Kansas City

Position is responsible for the maintenance of complex database systems data abstraction for particular service lines data analysis and presentation and coordination of a variety of performance ...

Saint Luke's Hospital System

Position is responsible for the maintenance of complex database systems data abstraction for particular service lines data analysis and presentation and coordination of a variety of performance ...

Commence

IDR Coder Reviewer

Virginia Beach, VA · On-site

$45 - $70/hr

Subject matter expert in clinical documentation review, clinical data abstraction, clinical coding, auditing, and variables impacting payment methodologies that are based in medical record ...

VTG

Database Engineer IV

Herndon, VA · On-site

$180K - $230K/yr

... and data abstraction layer to enable access to new data sources • Designs and implements indexing strategies for ingested data. • Developing a strategy for continuous performance tuning of ...

Vosper Thornycroft Group

Database Engineer IV

Herndon, VA · On-site

$200 - $250/hr

Updates data enterprise architecture models (if needed) and data abstraction layer to enable access to new data sources * Designs and implements indexing strategies for ingested data. * Developing a ...

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Data Abstraction information

What is data abstraction?

Data abstraction is the process of simplifying complex data by extracting relevant information and presenting it in a more manageable form. In many industries, especially healthcare, data abstractors review records and summarize key details into databases for analysis and reporting. This helps organizations make informed decisions by focusing on essential data points without unnecessary details. Data abstraction improves efficiency, accuracy, and data organization.

What are the key skills and qualifications needed to thrive as a data abstractor?

To thrive as a Data Abstractor, you need strong analytical skills, attention to detail, and a background in health information management or a related field, often supported by a relevant certification such as RHIT or RHIA. Familiarity with electronic health records (EHR) systems, data abstraction software, and coding standards like ICD-10 and CPT is typically required. Excellent organizational abilities, problem-solving skills, and clear communication help individuals excel in reviewing and extracting precise data from complex documents. These skills are crucial for ensuring data accuracy, supporting healthcare quality initiatives, and enabling effective decision-making.

What are some common challenges faced by data abstraction professionals, and how can they be addressed?

Data abstraction professionals often encounter challenges such as ensuring the accuracy and consistency of extracted data, navigating incomplete or ambiguous source documents, and staying updated with changing data standards. To address these issues, it's important to develop strong attention to detail, establish clear data abstraction protocols, and participate in regular training sessions. Collaborating closely with quality assurance teams and leveraging technology, such as data abstraction software, can also help maintain high standards and efficiency in the role.

What is the difference between Data Abstraction vs Data Analyst?

AspectData AbstractionData Analyst
Required CredentialsTypically a degree in computer science, information systems, or related fieldsUsually a degree in statistics, mathematics, or related fields
Work EnvironmentSoftware development teams, IT departments, data management projectsBusiness intelligence teams, marketing, finance, and operations departments
Employer & Industry UsageTech companies, software firms, data management organizationsCorporations across various industries, consulting firms, market research

Data Abstraction focuses on simplifying complex data structures in software development, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but serve different purposes within data management and analysis.

How to become a data abstractor?

To become a data abstractor, typically you need a high school diploma or equivalent, strong attention to detail, and good organizational skills. Many employers prefer candidates with experience in healthcare, insurance, or related fields, and familiarity with electronic health records or data management tools. Certification programs are available to enhance skills and job prospects.

What do data abstractors do?

Data abstractors collect, review, and summarize information from various sources such as medical records, documents, or databases to create concise, standardized summaries. They often use specialized software and must ensure accuracy and confidentiality in their work, which is essential in fields like healthcare and research.

What are the most commonly searched types of Data Abstraction jobs in Virginia?

The most popular types of Data Abstraction jobs in Virginia are:

What are popular job titles related to Data Abstraction jobs in Virginia?

For Data Abstraction jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Abstraction jobs in Virginia look for?

The top searched job categories for Data Abstraction jobs in Virginia are:

Data Abstraction jobs near you
Infographic showing various Data Abstraction job openings in Virginia as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

RN Clinical Data Analyst Cardiovascular

On-site

Riverside Health System Non-Providers
Hospitals • 201 - 500 employees
Learn more about Riverside Health System Non-Providersexternal

$34.40 - $47.30/hr

Full-time

Posted 6 days ago

Job description

Newport News, Virginia

Hiring Range

$34.40 - $47.30/Hourly Actual pay is determined based on job-related factors such as relevant experience, education, credentials, skills, internal equity, and business needs.
Overview
The RN Cardiovascular Clinical Data Analyst is responsible for the collection, submission and analysis of statistical data and complex medical information from a variety of patient sources including registries, internal reports, and electronic medical records for the cardiovascular patients that supports critical program activities including direct patient care and regulatory and accreditation requirements. The RN Cardiovascular Clinical Data Analyst will act as the subject matter expert for quality measures and quality concepts by providing education, presentations and consultation while serving as a leader in the clinical quality evaluation activities to promote performance improvement initiatives and maintain compliance with regulatory standards. The RN Cardiovascular Data Analyst serves as an integral part of the Quality Department team and assists RHS and RRMC in making data actionable for ongoing process improvement.This position is responsible for the data collection, entry, analysis, submission, report preparation, presentation of data, data sharing for process improvement initiatives, bench marking and outcomes research. Analyst maintains detailed knowledge of registry field definitions, reporting requirements, has a high degree of organizational skill, and is detailed oriented. The RN Cardiovascular Clinical Data Analyst is responsible for the technical and methodological support of the assigned registry or registries and reports.
What you will do
  • Maintains relationships with the internal and contracted data and quality team and serves as the data manager for the various registries within the Cardiovascular Quality Department. These registries include VQI, STS ACSD, STS/ACC TVT, Cath PCI, EP, LAAO and Chest Pain Center. Provides patient lists as required, supports education for the abstractors, coordinates entry, report, analysis, validations, and submissions.
  • Conducts and leads process improvement projects based on analysis of clinical data. Collaborates with others in identifying new and improved ways to distribute clear and concise data and display findings electronically to facilitate access to finding, sharing interpretations and expedite decision making.
  • Coordinates the collection, submission and analysis of statistical data related to the clinical outcomes for designated patient populations and is the subject matter expert for the data registries and specifications manual. Assures data integrity. Disseminates data reports to accountable individuals and team members in a timely fashion. Maintains all dashboards with current data.
  • Completes special projects as assigned. Runs a variety of reports, including compiling data for analysis, preparing and /or conducting presentations of data analysis and distributing to appropriate team members. Works closely with Quality Director to ensure accurate data and recommends appropriate system changes or process improvement plan to improve quality and patient safety initiatives based on the registry data and outcome reports. Participates in Registry Audits as needed.
  • Abstracts data for specific cardiovascular populations as needed. Ensures data abstraction is accurate and timely. Proactively and effectively communicates variances and collaborates to resolve issues. Maintains current reference information materials for registry specific abstraction work. Provides back up support for all registries within the cardiovascular service line Quality department.
  • Leads and manages the coordination of a facility program. An example is the Chest Pain Center Coordinator.
  • Effectively uses statistical tools to provide multidisciplinary team(s) with meaningful data and information in a timely manner. Provides education and consultation to medical and clinical team members regarding quality and safety initiatives.

Qualifications
Education
  • Bachelors Degree, Nursing (Preferred)
  • Associates Degree, Nursing (Required)

Experience
  • 2 years Direct patient care experience (Required)
  • 2 years Quality, data abstraction and/or analysis, or CDI experience (Preferred)
  • 2 years Critical or Cardiac Care experience (Preferred)

Licenses and Certifications
  • Registered Nurse (RN) - Virginia Department of Health Professions (VDHP) (Required)
  • Certified Professional in Healthcare Quality (CPHQ) - National Association of Healthcare Quality Healthcare Quality Certification Board (Preferred)

To learn more about being a team member with Riverside Health System visit us at https://www.riversideonline.com/careers.

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