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Medical Data Abstraction Jobs (NOW HIRING)

Natera

OR · On-site

Perform high-quality medical record abstraction by combining proficient-level experiences in data management and software with medical terminology, medical coding, information encoding, and ...

Natera

Sr Clinical Data Abstractor

Perform high-quality medical record abstraction by combining proficient-level experiences in data management and software with medical terminology, medical coding, information encoding, and ...

Natera

OR · On-site

Perform high-quality medical record abstraction by combining proficient-level experiences in data management and software with medical terminology, medical coding, information encoding, and ...

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Medical Data Abstraction information

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How much do medical data abstraction jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for medical data abstraction in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What is the difference between Medical Data Abstraction vs Medical Coding?

AspectMedical Data AbstractionMedical Coding
Primary FocusExtracting and reviewing patient data for accuracy and completenessAssigning standardized codes to diagnoses and procedures
Required CertificationsNone mandatory, but certifications like AHIMA's Certified Health Data Analyst (CHDA) are beneficialCertified Professional Coder (CPC) or equivalent
Work EnvironmentHospitals, clinics, health information departmentsHospitals, billing companies, insurance companies
Industry UsageHealth information management, quality assuranceMedical billing, reimbursement, claims processing

Medical Data Abstraction involves reviewing and extracting relevant patient information to ensure data accuracy, while Medical Coding focuses on translating clinical information into standardized codes for billing and documentation. Both roles are essential in health information management but serve different functions within healthcare operations.

What are some common challenges faced by Medical Data Abstraction professionals, and how can they be addressed?

Medical Data Abstraction professionals often encounter challenges such as inconsistent documentation, varying formats of electronic health records (EHRs), and tight turnaround times for data extraction projects. Addressing these challenges requires strong attention to detail, familiarity with multiple EHR systems, and effective communication with clinical staff to clarify ambiguous information. Additionally, ongoing training in medical terminology and data privacy regulations helps ensure accuracy and compliance while adapting to evolving healthcare standards.

What are the key skills and qualifications needed to thrive as a Medical Data Abstractor, and why are they important?

To thrive as a Medical Data Abstractor, you need a solid understanding of medical terminology, coding systems (such as ICD-10 and CPT), and health information management, often supported by a relevant associate degree or certification. Familiarity with electronic health record (EHR) systems, clinical data software, and HIPAA compliance is typically required. Attention to detail, analytical thinking, and strong organizational skills are crucial soft skills for accurately extracting and managing patient data. These competencies ensure data integrity, support regulatory compliance, and enable high-quality healthcare reporting and analysis.

What is medical data abstraction?

Medical data abstraction is the process of reviewing, extracting, and summarizing specific information from medical records to be used for research, reporting, billing, or quality improvement. Abstractors carefully analyze charts and electronic health records to pull key data elements, such as patient demographics, diagnoses, treatments, and outcomes. This work is essential for ensuring accurate data collection, compliance with regulatory requirements, and supporting clinical decision-making. Medical data abstraction requires attention to detail, knowledge of medical terminology, and familiarity with healthcare documentation systems.
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Medical Data Abstraction jobs near you
Infographic showing various Medical Data Abstraction job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
Certified Oncology Data Specialist (Remote)

Certified Oncology Data Specialist (Remote)

American Data Network

Little Rock, AR • On-site, Remote

Contractor

Posted 24 days ago

Job description

Why ADN? Join the American Data Network family and become part of an established, purpose-driven healthcare quality organization with more than 30 years of experience. At ADN, our work supports hospitals and healthcare clients in improving quality, patient safety, and clinical outcomes. We value integrity, accuracy, collaboration, and professionalism, and we are looking for experienced abstractors who take pride in producing high-quality work.
Position Summary: American Data Network is seeking experienced certified Oncology Data Specialists (ODS) to support accurate and timely oncology data abstraction for assigned healthcare clients. This role is ideal for candidates with recent, hands-on oncology data abstraction experience who can independently review clinical documentation, apply registry specifications, and meet assigned deadlines with a high level of accuracy.
This is not a general data entry position. Candidates must have direct healthcare quality reporting, clinical chart review, or data abstraction experience specific to Oncology.
Position Details: ADN hires both contractors and full-time employees for Data Abstraction roles. Contractors must be available for a minimum of 15 hours per week.
Key Responsibilities:
  • Reviews patient medical records and abstracts data for oncology registries.
  • Applies registry specifications, definitions, inclusion and exclusion criteria, and abstraction guidelines accurately and consistently.
  • Maintains compliance with NCRA and other applicable guidelines to ensure the integrity and quality of the registry data.
  • Collaborates with oncology program leadership, performance improvement teams, and clinical staff to clarify documentation and support oncology program goals.
  • Enters accurate and complete data into assigned registry platforms, EHRs, vendor tools, or other data collection systems.
  • Maintains a high level of abstraction accuracy, completeness, and attention to detail.
  • Meets assigned productivity expectations, weekly progress goals, and internal and client deadlines.
  • Participates in quality assurance activities, including feedback, correction, validation, and IRR reviews.
  • Communicates professionally with account leads, team members, and client contacts when clarification is needed.
  • Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements.

Qualifications:
Required:
  • Current Oncology Data Specialist (ODS) certification by the National Cancer Registrars Association (NCRA) required.
  • Minimum 1 year of oncology registry experience required, with 2 or more years preferred.
  • Advanced understanding of oncology registry processes, coding, registry rules, and manuals, including SEER, AJCC, and other applicable standards.
  • Ability to work independently with minimal supervision while maintaining accuracy and meeting deadlines.
  • Strong attention to detail, organization, documentation, and follow-through.
  • Comfort working in multiple EHRs, registry platforms, vendor tools, and data collection systems as assigned.
  • Excellent interpersonal and written communication skills.
  • Contractors must have high-speed secure internet, a PC or laptop, and at least two monitors.

Preferred:
  • Experience using oncology registry applications, reports, and other related data collection resources.
  • Experience with IRR, QA review, audit validation, and/or abstraction accuracy review.

Screening & Onboarding:
Qualified candidates will complete an initial phone screen to evaluate qualifications and proof of certification.
ADN does not provide basic Oncology abstraction training, so candidates should already have the experience needed for the role. After hire, ADN provides onboarding to ADN processes, client systems, EHR access, documentation tendencies, and other client-specific workflows.
Why This Role May Be a Good Fit: This position may be a strong fit for experienced and certified Oncology Data Specialists (ODS) who enjoy independent work, flexible scheduling, chart reviews, healthcare quality reporting, and contributing to meaningful work that supports hospitals and patient care. ADN offers a knowledgeable and supportive team environment, multiple abstraction opportunities, and potential growth into lead or expanded quality roles for strong performers.

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