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Contract Rn Data Abstraction Jobs in Washington (NOW HIRING)

Prairie Quest Consulting

Registered Nurse III

Bethesda, MD · On-site

$68 - $73.09/hr

The contract RN shall demonstrate knowledge of the principles of growth and development appropriate ... data element abstraction, and identification of complications and/or performance improvement ...

Nurses Direct, LLC.

Contract RN - Home Health

Bowie, MD · On-site

$2.0K - $2.4K/wk

Registered Nurse Home Health Field RN (Mon-Fri = 36-40h weekly) Education Required - Registered ... Uses data, information, and knowledge to evaluate and promote change in order to achieve optimal ...

Nurses Direct, LLC.

Contract RN - Home Health

Bowie, MD

$2.0K - $2.4K/wk

Uses data, information, and knowledge to evaluate and promote change in order to achieve optimal ... Requirements RN- Registered Nurse License of State in which intend to work or Compact License >1 ...

Focus Staff

Travel CVICU Registered Nurse

Largo, MD

Contract Length: 13 Weeks Start Date: 07/13/2026 Shift: 3x12 Nights Benefits for Travel CVICU RNs: * Health insurance * Vision insurance * Dental insurance * Life insurance * Licensure reimbursement

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Contract Rn Data Abstraction information

What does an RN data abstractor do?

An RN data abstractor reviews and extracts relevant clinical information from medical records to ensure accurate and complete documentation for research, quality improvement, or billing purposes. They typically use electronic health record systems and must have strong attention to detail, clinical knowledge, and familiarity with coding standards. This role supports healthcare data accuracy and compliance with regulatory requirements.

How to make $300,000 as a nurse online?

A Contract Rn Data Abstraction can increase earnings by taking on multiple remote contracts, specializing in high-demand areas, and obtaining certifications like CCRN or CPHIMS. Building a strong reputation and leveraging telehealth platforms can also help maximize income, but reaching $300,000 annually typically requires extensive experience and multiple concurrent contracts.

How much do nurse abstractors make?

Nurse abstractors, also known as data abstractors, typically earn between $50,000 and $75,000 annually, depending on experience, location, and employer. They analyze medical records and require strong attention to detail and familiarity with healthcare coding systems. Salaries can vary based on certifications and the complexity of the data being abstracted.

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

AspectContract Rn Data AbstractionContract Rn Medical Coding
CredentialsRegistered Nurse (RN) license, data abstraction certificationsRN license, coding certifications (e.g., CPC, CCS)
Work EnvironmentHospitals, clinics, health information departmentsMedical offices, coding companies, health information departments
Primary ResponsibilitiesExtracting patient data from records for quality and complianceAssigning medical codes to diagnoses and procedures for billing
Industry UsageHealthcare, hospital administrationHealthcare, billing, and reimbursement

Contract Rn Data Abstraction and Contract Rn Medical Coding both require RN licensure, but differ in focus. Data abstraction involves extracting and reviewing patient information, while medical coding centers on translating diagnoses and procedures into codes for billing. Both roles are vital in healthcare administration but serve distinct functions within the health information management field.

How to get into data abstraction as a nurse?

To become a contract RN specializing in data abstraction, nurses typically need experience in clinical documentation and coding, along with knowledge of healthcare data systems and electronic health records. Certification in health information management or coding, such as AHIMA's RHIT or RHIA, can enhance qualifications. Strong attention to detail and understanding of medical terminology are essential for accurate data abstraction tasks.
What are the most commonly searched types of Rn Data Abstraction jobs in Washington? The most popular types of Rn Data Abstraction jobs in Washington are:
What cities in Washington are hiring for Contract Rn Data Abstraction jobs? Cities in Washington with the most Contract Rn Data Abstraction job openings:
Contract Rn Data Abstraction jobs near you
Cardiac Surgery Quality Coordinator (RN)

Cardiac Surgery Quality Coordinator (RN)

Luminis Health

Annapolis, MD • On-site

Other

Posted 13 days ago

Luminis Health rating

8.1

Company rating: 8.1 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

69th of 872 rated healthcare providers

Job description

Position Objective:

The Cardiac Surgery Quality Coordinator is a critical role dedicated to advancing patient outcomes and operational excellence within the adult cardiac surgery program. This position is responsible for the comprehensive review and management of all Adult Cardiac Society of Thoracic Surgeons (STS) quality metrics. The Coordinator serves as the primary liaison between external data abstractors and internal clinical teams, seeking to educate partners on areas of operational excellence, areas for process improvement, and any areas where quality improvement are needed. Leveraging strong clinical expertise, the Coordinator will collaborate with surgical, anesthesia, and nursing partners to identify, develop, and lead targeted quality improvement initiatives.

Essential Job Duties:

Quality Improvement, Education & Clinical Collaboration

1.      Clinical Liaison: Act as the primary bridge between the external data abstraction team and internal clinical staff, ensuring seamless communication and mutual understanding of quality goals.

2.      Clinical Education & Feedback: Proactively educate multidisciplinary partners (surgeons, anesthesia, nursing) on STS metrics, highlighting current areas of operational excellence, identifying specific opportunities for process and quality improvement, and leading quality improvement data conferences.

3.      Process Improvement: Design, implement, and manage key quality improvement (QI) projects based on STS data findings to enhance patient safety, streamline clinical workflows, and improve post-operative outcomes.

4.      Protocol Development: Collaborate with clinical leadership to update or establish evidence-based care protocols, standardizing pathways for cardiac surgery patients based on identified areas of need.

5.      External Liaison: Represents Luminis Health in Maryland Cardiac Surgery Quality Initiative (MCSQI) conferences, data workshops and/or research efforts, and participates in state-level Cardiac Surgery Quality forums as appropriate.

6.      Participate in all Maryland Health Care Commission (MHCC) program review requests.

Data Management & STS Registry Oversight

  1. Metric/Data Analysis: Continuously monitor and analyze adult cardiac STS quality metrics, identifying trends, outliers, and systemic gaps to drive educational efforts, and complete rigorous clinical reviews of abstracted data against electronic medical records to ensure 100% accuracy.

8.      External Abstraction Management: Oversee the efforts of the external clinical data abstraction group, ensuring timely, complete, and highly accurate data capture.

9.      Performance Reporting: Prepare and present comprehensive, actionable quality performance reports to surgical leadership and frontline teams.

10. Regulatory Compliance. Ensures all data submissions are submitted timely to the MCSQI group & the MHCC.

 

Educational/Experience Requirements:

  • Bachelor of Science in Nursing (BSN) required; Master of Science in Nursing (MSN) or related healthcare administration degree preferred.
  • Current Registered Nurse (RN) license.
  • Minimum of 3-5 years of recent clinical nursing experience in cardiovascular or cardiothoracic surgery (e.g., CVICU, Cardiac OR, or Cardiovascular Step-Down).
  • Demonstrated working knowledge of the STS Adult Cardiac Surgery Database definitions, metrics, and reporting structures.
  • Prior experience in clinical quality improvement, process improvement methodologies, registry management, and complex data analysis is highly preferred.

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