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Internship Rn Data Abstraction Jobs (NOW HIRING)

Veracity

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 ...

MRO Corporation

VQI SCDS - PT

Direct clinical experience abstraction experience within 1 year * RN or LPN Credential or ... data and suggest recommendations * Shows high standards for accuracy and attention to detail

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

As of Aug 10, 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?

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:
Internship Rn Data Abstraction jobs near you

Cardiac Surgery Quality Coordinator (RN)

Luminis Health

Annapolis, MD • On-site

Full-time

Re-posted 7 days ago

Luminis Health rating

7.9

Company rating: 7.9 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

109th of 887 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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