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How much do rn data abstraction remote jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for rn data abstraction remote in the United States is $44.91, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $53.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an RN Data Abstraction Remote, and why are they important?

To thrive as an RN Data Abstraction Remote, you need an active RN license, strong clinical knowledge, and experience with medical record review or abstraction. Familiarity with electronic health record (EHR) systems, data abstraction software, and possibly certifications like Certified Clinical Data Abstractor (CCDA) are typical requirements. Exceptional attention to detail, time management, and the ability to work independently are vital soft skills for remote success. These skills and qualifications ensure accurate, consistent data collection that supports quality improvement and compliance in healthcare organizations.

What is the difference between Rn Data Abstraction Remote vs Medical Records Technician?

AspectRn Data Abstraction RemoteMedical Records Technician
CredentialsRN license, data abstraction trainingHigh school diploma, coding certification
Work EnvironmentRemote, healthcare facilities, hospitalsHealthcare offices, hospitals, clinics
Industry UsageHealthcare, medical data managementMedical record keeping, coding
Job FocusAbstracting patient data, ensuring accuracyOrganizing, coding, and managing medical records

While both roles involve working with medical data, Rn Data Abstraction Remote primarily requires an RN license and focuses on abstracting patient information remotely, often for quality or research purposes. Medical Records Technicians typically handle organizing and coding medical records on-site or in healthcare settings. The roles differ mainly in credentials, work environment, and specific job functions, but both are essential in healthcare data management.

What are the typical challenges faced by RNs working in remote data abstraction roles, and how can they be addressed?

RNs in remote data abstraction often encounter challenges such as interpreting incomplete medical records, managing large volumes of data within tight deadlines, and navigating different electronic health record (EHR) systems. To address these, it's important to develop strong attention to detail, maintain up-to-date knowledge of abstraction guidelines, and utilize effective time management strategies. Regular communication with team members and seeking clarification from clinical staff can also help ensure data accuracy and resolve ambiguities, making the remote workflow more efficient and collaborative.

What are RN Data Abstraction remote jobs?

RN Data Abstraction remote jobs involve registered nurses (RNs) who work from home to review and extract clinical data from medical records for quality improvement, research, or regulatory reporting. These professionals analyze patient charts, ensure accurate and complete data collection, and enter information into databases according to specific guidelines. The work is typically project-based, requires attention to detail, and often supports hospital accreditation or performance measurement programs. Strong clinical knowledge, familiarity with electronic health records, and data entry skills are essential for this role.
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NSQIP-Adult SCR (Remote, Full-time, or Part-time)

NSQIP-Adult SCR (Remote, Full-time, or Part-time)

American Data Network

Little Rock, AR โ€ข Remote

Full-time

Posted 29 days ago


Job description

Why ADN?Join the American Data Network family and become an integral part of a dynamic and purpose-driven organization. At ADN, we're not just a company; we're a community of passionate professionals dedicated to making a difference in healthcare. Embark on a journey where your work goes beyond a job description - it becomes a meaningful contribution to the improvement of patient care. We foster a culture of integrity, excellence, continuous learning, collaboration, and a genuine commitment to making a positive impact. If you're ready to be part of a trusted advisor in healthcare data services and shape the future of quality and patient safety, come build your career with us at American Data Network. Make every day count, and make a difference with ADN.


Job Summary:Performs primary data abstraction duties for NSQIP-Adult and ensures high levels of abstraction accuracy for assigned accounts via validation activities. Demonstrates strong communication, documentation, organizing, and planning skills to ensure strong leadership of multiple accounts concurrently.


Responsibilities:

  • Collects and abstracts data from patient medical records, especially those related to surgical procedures. This includes information on diagnoses, treatments, procedures, and outcomes.
  • Ensures the accuracy and completeness of the abstracted data. This involves cross-referencing information from multiple sources within a patient's medical record.
  • Adheres to specific clinical data abstraction guidelines and standards,such as those set by the American College of Surgeons.
  • Enters the abstracted data into a database or registry, often using specialized software. This includes maintaining and updating the data as necessary.
  • Participates in quality assurance processes to ensure data integrity. This involves regular audits of the data or the abstraction process.
  • Remains informed about developments in patient care and data management to ensure ongoing competency in the role.


Qualifications:

  • Experience abstracting NSQIP-Adult measureswithin the last 2 years is required. Must have current SCR.
  • Familiar with medical records, billing/documentation practices, Microsoft Office, and standard healthcare quality concepts
  • Ability to work independently.
  • Relies on experience and judgment to plan/accomplish goals.
  • Maintains a strict level of confidentiality in all aspects of work.
  • Demonstrates a high standard of accuracy and attention to detail.
  • Excellent interpersonal and communication skills.
  • Remote position.
  • BSN, LPN, or RN preferred.
  • CPHQ preferred.