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Medical Data Abstraction Jobs (NOW HIRING)

$32/hr

... medical records to meet the requirements of various target registries. What We're Looking For: * Minimum of 1 year of recent clinical data abstraction experience * Proficiency with EMR systems

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Medical Data Abstraction information

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How much do medical data abstraction jobs pay per hour?

As of Aug 18, 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 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.

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 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 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.

How to become a medical data abstractor?

To become a medical data abstractor, candidates typically need a high school diploma or equivalent, with some roles preferring an associate's degree or healthcare-related certification. Relevant skills include attention to detail, knowledge of medical terminology, and proficiency with electronic health records (EHR) systems. On-the-job training is common, and familiarity with coding standards like ICD or CPT can be advantageous.

What does a medical data abstraction do in healthcare?

A medical data abstraction involves reviewing and extracting relevant patient information from medical records to ensure accurate and complete documentation. Medical data abstractors often use electronic health record (EHR) systems and must understand medical terminology and coding standards like ICD or CPT. Their work supports clinical decision-making, billing, and quality reporting in healthcare settings.

What skills do you need to be a medical data abstractionist?

Medical data abstractionists need strong attention to detail, excellent organizational skills, and proficiency in electronic health record (EHR) systems. They should have a good understanding of medical terminology, coding standards like ICD and CPT, and often require familiarity with data privacy regulations such as HIPAA. Effective communication and the ability to work independently are also important for accurate data collection and management.
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What cities are hiring for Medical Data Abstraction jobs?

Cities with the most Medical Data Abstraction job openings:

What states have the most Medical Data Abstraction jobs?

States with the most job openings for Medical Data Abstraction jobs include:

Infographic showing various Medical Data Abstraction job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

Account Lead, Data Abstraction Services (FT Remote or Onsite)

American Data Network

Little Rock, AR โ€ข Remote

Full-time

Re-posted 11 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 an experienced Account Lead, Data Abstraction Services to coordinate and support assigned data abstraction client accounts. This full-time role is ideal for candidates who have already served as an abstraction lead, registry lead, quality lead, or similar role, as well as experienced healthcare abstractors ready to move beyond primary chart abstraction into a client-facing account coordination and oversight role.

The Account Lead serves as the primary point of contact for assigned client accounts and ensures accurate, timely, and well-coordinated abstraction work across all assigned measures, registries, abstractors, client systems, and deadlines. This role supports account health, client satisfaction, abstractor coordination, documentation standards, quality review, billing readiness, and issue escalation. This position does not include direct reports.

This is not a general data entry or abstractor position. Candidates must have direct healthcare registry, clinical chart review, quality reporting, or data abstraction experience. The role requires strong organization, communication, prioritization, follow-through, problem-solving, and client relationship skills. 


Position Details: This is a full-time position. ADN is hiring for remote or onsite candidates. Remote candidates must be available during normal business hours, Monday through Friday, to support client communication, internal operations, and account needs. 


Key Responsibilities: 

  • Serves as the primary contact for assigned data abstraction client accounts, including routine communication, deadline coordination, client questions, account updates, and feedback. 
  • Coordinates account activity across assigned abstractors, client contacts, DAS Management, and internal teams to help ensure accurate, timely, and complete abstraction work.
  • Monitors account progress, deadlines, documentation, and completion status; follows up with abstractors and escalates barriers or concerns early when needed. 
  • Maintains accurate and timely client account documentation, including trackers, preferences, and status updates to support progress monitoring, billing readiness, quality review, and client communication. 
  • Supports onboarding of new abstractors to assigned client accounts, including client-specific workflows, preferences, and expectations.
  • Conducts and/or coordinates inter-rater reliability reviews, validation activities, feedback, correction, and follow-up to support abstraction accuracy and consistency. 
  • Performs abstraction, IRR, gap coverage, or other chart review duties as needed based on client needs, staffing, deadlines, or account priorities. 
  • Communicates professionally and proactively with clients, assigned abstractors, DAS Management, and internal teams. 
  • Builds strong working relationships with clients by responding timely, maintaining routine touchpoints, identifying trends or opportunities for improvement, and helping clients view ADN as an extension of their quality team. 
  • Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements. 


Qualifications:

Required:

  • At least 2 years of recent healthcare quality abstraction, clinical registry, chart review, or data abstraction experience. 
  • Experience with one or more clinical quality measures, registries, or abstraction programs, such as Core Measures, NCDR, STS, GWTG, NSQIP, NHSN, trauma, or other related registries.
  • Strong understanding of healthcare quality reporting, registry abstraction, clinical documentation review, medical record interpretation, and abstraction accuracy expectations. 
  • Excellent written and verbal communication skills, including the ability to communicate professionally with clients and internal team members.
  • Strong organization, time management, documentation, follow-through, and attention to detail.
  • Ability to coordinate multiple priorities, deadlines, systems, and workflows while remaining responsive and accountable.
  • Ability to identify barriers, solve problems, escalate concerns appropriately, and work collaboratively with DAS Management. 
  • Comfort working in multiple EHRs, registry platforms, vendor tools, spreadsheets, trackers, Google Drive, JIRA, Confluence, and other data collection or project management systems as assigned. 
  • Availability during normal business hours, Monday through Friday, even if working remotely. 


Preferred: 

  • Prior experience as an abstraction lead, registry lead, quality lead, account lead, team lead, or similar role in a hospital, health system, vendor, or healthcare quality organization.
  • Experience supporting or coordinating abstractors, reviewing abstraction quality, conducting IRR, mentoring team members, or managing abstraction timelines.
  • Experience with client communication, account coordination, documentation tendency review, workflow development, audit support, or abstraction validation.
  • Experience with multiple measure sets, registries, EHRs, vendor tools, or healthcare quality programs.
  • Bachelor’s degree, LPN, RN, RHIT, RHIA, CPHQ, or other healthcare quality, clinical, or registry-related credential.


Screening & Onboarding: Qualified candidates will complete an initial phone screen and measure/registry-specific abstraction assessments based on the experience listed in their application. These assessments are designed to evaluate current knowledge of specifications, abstraction judgment, accuracy, and completion speed. 


ADN does not provide basic abstraction training, so candidates should already have the measure/registry experience needed for the role. After hire, ADN provides onboarding to ADN operations, account lead expectations, client systems, EHR access, documentation tendencies, and other client-specific workflows relevant to assigned accounts. 


Why This Role May Be a Good Fit: This position may be a strong fit for experienced abstractors, registry leads, or quality professionals who enjoy account ownership, client communication, abstractor support, quality oversight, and operational coordination. This role is ideal for someone who is organized, responsive, detail-oriented, and comfortable balancing client expectations, abstractor needs, deadlines, documentation, and quality requirements.


ADN offers a knowledgeable and supportive team environment, meaningful work that supports hospitals and patient care, and the opportunity to contribute to a growing healthcare quality service line.