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Full Time Rn Data Abstraction Jobs (NOW HIRING)

... nursing, healthcare administration, informatics, or related field Preferred: • Experience in a clinical setting. • Clinical chart review and abstraction experience. • Database data entry and/or ...

... nursing, healthcare administration, informatics, or related field Preferred: • Experience in a clinical setting. • Clinical chart review and abstraction experience. • Database data entry and/or ...

... nursing, healthcare administration, informatics, or related field Preferred: • Experience in a clinical setting. • Clinical chart review and abstraction experience. • Database data entry and/or ...

Data abstraction may be concurrent or retrospective, and may include pre-hospital, hospital, and ... The RN - Quality Clinical Analyst II works in collaboration with internal care team members and/or ...

... (RN) to join our team in a HEDIS Abstraction role, supporting critical healthcare quality ... In this role, you will be responsible for reviewing and abstracting clinical data from medical ...

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Full Time Rn Data Abstraction information

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How much do full time rn data abstraction jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for full time rn data abstraction 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 is a full time RN data abstraction?

Full Time RN Data Abstraction jobs involve registered nurses (RNs) who work to collect, review, and abstract clinical data from medical records for quality improvement, research, or regulatory reporting purposes. These professionals use their clinical knowledge to ensure accurate and complete data capture, often working with electronic health records (EHRs) and collaborating with healthcare teams. Full-time positions typically require strong attention to detail, familiarity with medical terminology and coding, and experience in clinical settings. The data abstracted is crucial for improving patient care, ensuring compliance, and supporting hospital accreditation or research initiatives.

What are the key skills and qualifications needed to thrive as a full time RN data abstraction?

To thrive as a Full Time RN Data Abstraction, you need a current RN license, strong clinical knowledge, and expertise in medical record review and data entry. Familiarity with electronic health record (EHR) systems, clinical data abstraction tools, and quality reporting platforms is typically required. Attention to detail, analytical thinking, and effective communication are essential soft skills for accurately interpreting and recording complex clinical information. These skills ensure precise data collection, support quality improvement initiatives, and contribute to compliance with healthcare standards.

What are some common challenges faced by full time RN data abstraction professionals, and how can they be addressed?

Full Time RN Data Abstraction professionals often encounter challenges such as interpreting complex medical records, maintaining accuracy under strict deadlines, and adapting to various electronic health record (EHR) systems. To overcome these challenges, it's important to stay updated on abstraction guidelines, engage in ongoing training, and develop strong organization and time management skills. Collaboration with clinical teams and regular communication with supervisors can also help clarify ambiguities and ensure high-quality data abstraction.

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What are the most commonly searched types of Rn Data Abstraction jobs?

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Clinical Data Abstractor

Grand Blanc, MI • On-site

McLaren Health Care Corporation
Health Care and Social Assistance • 1 - 5K employees

Full-time

Posted 5 days ago


McLaren Health Care rating

6.6

Company rating: 6.6 out of 10

Based on 222 frontline employees who took The Breakroom Quiz


Job description

Position Summary:
A Clinical Data Abstractor performs clinical auditing and data abstraction of patient records in support of the organizations clinical quality improvement and patient safety initiatives associated with various quality improvement data reporting systems.
Essential Functions and Responsibilities as Assigned:
  1. Participates in relevant training at assigned sites and through training, develops expertise.
  2. Reviews medical records to abstract relevant data for eligible patients utilizing both electronic upload and manual data abstraction of records. Assures electronic data are verified for accuracy and assures data entry of manually abstracted data into collaborative / registry.
  3. Collaborates with assigned sites to review non-concordant cases and identifies and presents findings to other key stakeholders.
  4. Utilizes clinical expertise to examine the electronic medical records of cases to identify patients eligible for inclusion in the collaborative / registry.
  5. Responsible for the accurate and timely entry of data into program database portals and meets the caseload accrual requirement protocol.
  6. Actively participates in audits of data entered the collaborative / registry

Qualifications:
Required:
• Associate's degree in nursing, healthcare administration, informatics, or related field with two years of experience in clinical data analysis or a similar role
OR
• Bachelor's degree in nursing, healthcare administration, informatics, or related field
Preferred:
• Experience in a clinical setting.
• Clinical chart review and abstraction experience.
• Database data entry and/or management experience.

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