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Internship Rn Data Abstraction Jobs (NOW HIRING)

This role supports hospital quality improvement efforts through accurate data abstraction, concurrent review, staff education, and participation in quality reporting initiatives. The RN collaborates ...

RN - Utilization Review Shift Details: 08:00 AM - 04:00 PM, 5 shifts per week, 40 scheduled hours ... Centers for Medicare and Medicaid Services, Continued Stay Reviews, Data Abstraction, Emergency ...

RN Abstractor - Cardiovascular

Las Cruces, NM · On-site

$1.8K - $2.4K/wk

RN Abstractor - Cardiovascular Las Cruces, NM 88011 Must-Haves Associate's degree is required ... Provides oversight of data abstraction (may use third party) Ensures data accuracy. Disseminates ...

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Internship Rn Data Abstraction information

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

As of Jul 13, 2026, the average hourly pay for internship rn data abstraction in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are some common challenges faced by interns in RN data abstraction roles, and how can they be addressed?

Interns in RN data abstraction roles often encounter challenges such as learning complex medical record systems, accurately interpreting clinical documentation, and maintaining data integrity under tight deadlines. Adapting to different electronic health record (EHR) platforms and understanding various healthcare terminologies can be overwhelming at first. These challenges can be addressed by seeking guidance from experienced team members, utilizing training resources provided by the employer, and regularly reviewing clinical guidelines. Building strong communication skills and asking questions when unsure can also help ensure accurate data abstraction and foster professional growth.

What does an Internship RN Data Abstraction do?

An Internship RN Data Abstraction role typically involves working under the supervision of experienced nurses or data managers to collect, review, and enter clinical data from patient records into databases. The primary goal is to ensure accurate and timely data abstraction for purposes like quality improvement, research, or regulatory compliance. Interns in this position gain hands-on experience in medical record review, data management, and healthcare analytics while applying their nursing knowledge. This role helps bridge the gap between clinical practice and healthcare informatics, making it valuable for those interested in both nursing and data science.

What is the difference between Internship Rn Data Abstraction vs Nursing Assistant?

AspectInternship Rn Data AbstractionNursing Assistant
Required CredentialsRN license, internship experienceCertified Nursing Assistant (CNA) certification
Work EnvironmentHospitals, clinics, healthcare facilitiesLong-term care, hospitals, nursing homes
Employer & Industry UsageHealthcare providers, hospitals, clinicsSkilled nursing facilities, hospitals
Common Search & ComparisonData abstraction, clinical data managementPatient care, basic nursing tasks

Internship Rn Data Abstraction involves reviewing and abstracting patient data for healthcare records, requiring an RN license and clinical internship experience. Nursing Assistants provide direct patient care, assisting with daily activities, and hold CNA certification. While both roles work in healthcare settings, Rn Data Abstraction focuses on data management, whereas Nursing Assistants focus on patient support and care.

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

To thrive as an Internship RN Data Abstraction, you need foundational nursing knowledge, keen attention to detail, and typically an active RN license or enrollment in a nursing program. Familiarity with electronic health records (EHR) systems, data abstraction tools, and medical coding standards is often required. Strong analytical thinking, time management, and effective communication are crucial soft skills for accurately interpreting and recording clinical information. These competencies ensure precise data collection, which supports patient care quality and compliance with regulatory standards.
What cities are hiring for Internship Rn Data Abstraction jobs? Cities with the most Internship Rn Data Abstraction job openings:
What are the most commonly searched types of Rn Data Abstraction jobs? The most popular types of Rn Data Abstraction jobs are:
What states have the most Internship Rn Data Abstraction jobs? States with the most job openings for Internship Rn Data Abstraction jobs include:
RN-Core Measures Expert

RN-Core Measures Expert

ScionHealth

Logan, WV • On-site

Full-time

Posted 11 days ago


ScionHealth rating

6.0

Company rating: 6.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

740th of 882 rated healthcare providers


Job description

Step into a meaningful role at Logan Regional Medical Center, a 132-bed facility located in southern West Virginia. Logan Regional is an award-winning, full-service community hospital with a history of innovation, from its one-of-a-kind Rural General Surgery residency program to its collaboration with Marshall Health Network to bring more opportunities for specialty care to the area. Logan Regional has earned the prestigious "A" grade from The Leapfrog Group, inclusion in Becker's listing of Great Community Hospitals, Forbes Inaugural Top Hospitals list, and Best-in-State hospital status from Newsweek/Statista. Consider growing your career at Logan Regional, which offers an ideal combination of high standards of care in a small, caring community.
Job Summary
The Registered Nurse - Core Measures is responsible for reviewing and abstracting clinical data from medical records for patients with diagnoses related to national core measures. This role supports hospital quality improvement efforts through accurate data abstraction, concurrent review, staff education, and participation in quality reporting initiatives. The RN collaborates with physicians, nurses, and other departments to promote compliance with regulatory and accreditation standards related to core measures and meaningful use.
Essential Functions
  • Abstract data from medical records of discharged and current inpatients based on core measure criteria.
  • Enter data accurately into designated databases such as COMET.
  • Conduct concurrent chart reviews and identify patients who meet core measure inclusion criteria.
  • Educate hospital and medical staff on core measure requirements and meaningful use initiatives.
  • Assist with planning, data collection, and reporting for quality management and improvement processes.
  • Collaborate with clinical leadership, medical staff, and informatics on improvement strategies.
  • Prepare reports, maintain records, and document interventions accurately.
  • Assist in quarterly Inter-Rater Reliability (IRR) reviews and regulatory readiness.
  • Support the Patient Portal and assist in monitoring related compliance requirements.
  • Maintain confidentiality and professional conduct in all job functions.

Knowledge/Skills/Abilities/Expectations
  • Strong critical thinking, clinical judgment, and attention to detail.
  • Ability to work independently and manage multiple priorities.
  • Proficiency in Microsoft Word, Excel, PowerPoint, and electronic health records.
  • Strong verbal and written communication skills.
  • Knowledge of healthcare regulations, core measures, and meaningful use standards.
  • Ability to educate, lead, and influence clinical and non-clinical staff.

Qualifications
Education
  • Postsecondary (Cert/Diploma/Program Grad) from an accredited school of nursing (Required) And
  • Bachelor's Degree in nursing or related field (Preferred)

Licenses/Certifications
  • RN - Registered Nurse - State Licensure and/or Compact State Licensure in the state of practice Upon Hire (Required) And
  • BCLS - Basic Life Support Upon Hire (Required)

Experience
  • 3+ years clinical nursing experience (Required) And
  • 1+ years management or quality experience (Preferred) And
  • Prior Experience with data abstraction and familiarity with healthcare quality databases (e.g. COMET) (Preferred)

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