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Clinical Abstractor - Remote

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97420, USA
Listing for: Bay Area Hospital
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • Healthcare
    Medical Records, Health Informatics, Healthcare Compliance
Salary/Wage Range or Industry Benchmark: 48000 - 65000 USD Yearly USD 48000.00 65000.00 YEAR
Job Description & How to Apply Below

Clinical Abstractor - Remote Possible - FT

Current Bay Area Hospital Employee:
The future looks bright at Bay Area Hospital, and we are always searching for quality people to join our team. We offer a great atmosphere, competitive pay, a wide array of benefits, and many growth opportunities for our employees.

Job Description:

Clinical Abstractor - Remote Possible - FT

Time Type: Full time

Hours per Pay Period: 80

Shift: Day Shift

Minimum: $34.96 USD

Maximum: $47.29 USD (This represents the rate for an individual with significant experience in this job)

Department: Accreditation

Clinical Abstractor A Clinical Data Abstractor reviews, analyzes, and summarizes relevant patient information from medical records. The data is then compiled into a structured format for various purposes, including quality improvement initiatives, regulatory reporting, clinical research, and billing.

  • 0.5 FTE assigned to Trauma
  • Remaining time assigned to Core/Sepsis abstraction
Principal Duties and Responsibilities
  • Extracts and abstracts specific clinical data points from medical records, electronic health records (EHRs), and other medical documentation according to established protocols and definitions.
  • Reviews abstracted data to ensure its accuracy, consistency, and completeness, often performing quality audits to maintain data integrity.
  • Prepares and submits accurate and timely data to various registries or quality reporting systems, such as those related to specific procedures, disease processes, or national measures (e.g., Core Measures).
  • Identifies and communicates opportunities and trends based on data findings to improve clinical processes and patient safety.
  • Communicates and collaborates with clinical staff, management, and other healthcare professionals to clarify documentation and resolve data discrepancies.
  • Aids in the collection and organization of data for research, clinical trials, epidemiological studies, or other data-driven initiatives.
  • Arrays data for presentation in a format that is clear and understandable to audience.
  • Maintains an interrater reliability at or above 95%.
Skills and Abilities
  • A strong understanding of medical terminology, anatomy, disease processes, and medical coding systems (e.g., ICD-10) is essential.
  • Familiarity with Epic EHR, data abstraction software, and data management tools like Microsoft Excel is preferred.
  • Excellent attention to detail and a high standard of accuracy are crucial for ensuring the reliability of data.
  • Strong analytical and problem-solving skills are needed to review complex records and identify relevant data points.
  • The ability to work independently, manage multiple tasks, and maintain organized records is necessary.
Required Education
  • RN preferred.
  • Association of the Advancement of Automotive Medicine’s Abbreviated Injury Scale (AIS) course required within 6 months of hire.
  • Trauma registry course required within 6 months of hire.
  • ICD-10 course within 6 months of hire and/or an ICD-10 refresher course every 5 years required.
  • Accrue 24 hours of trauma-related CE during the trauma verification cycle (3 years) required.
  • Certified Professional in Healthcare Quality (CPHQ) or Certified Professional in Patient Safety (CPPS) within 2 years.
Principal Duties and Responsibilities
  • Extracts and abstracts specific clinical data points from medical records, electronic health records (EHRs), and other medical documentation according to established protocols and definitions.
  • Reviews abstracted data to ensure its accuracy, consistency, and completeness, often performing quality audits to maintain data integrity.
  • Prepares and submits accurate and timely data to various registries or quality reporting systems, such as those related to specific procedures, disease processes, or national measures (e.g.,…
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