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Cardiovascular Associates of America

Cardiovascular Associates of America

Research and Quality Abstractor

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Fully RemoteData & AIexecutiveUnited States

Salary

Not listed

Posted

2h ago

Source

himalayas

Clinical ResearchHealthcare Quality ImprovementMedical Records AbstractionCardiovascular ResearchHealthcare Data Management

Research and Quality Abstractor

Location: Remote
Organization:Cardiovascular Associates of America (CVAUSA)
Job Type: Independent Contractor (1099)
Expected Hours: 40 hours per week
Travel: Occasional (1–3 times per year)
Reports To: Chief Quality & Research Officer

ABOUT CVAUSA
Cardiovascular disease is the single largest contributor to premature death and disability worldwide. At CVAUSA, we are dedicated to delivering the highest quality cardiovascular care and advancing scientific discovery through clinical research, including randomized trials, observational studies, and health outcomes research. As we expand our clinical programs and national cardiovascular research network, we seek passionate professionals committed to improving cardiovascular care quality and advancing innovative therapies that reduce the burden of cardiovascular disease.

ABOUT CARDIOVASCULAR RESEARCH SOLUTIONS
Cardiovascular Associates of America (CVAUSA) is the nation's largest network of community-based cardiology practices. Through Cardiovascular Research Solutions, LLC, CVAUSA supports and accelerates cardiovascular clinical research across its national footprint by partnering with practices, sponsors, and CROs to bring innovative therapies to patients while advancing evidence-based cardiovascular care. POSITION SUMMARY

The Research and Quality Abstractor is responsible for the accurate extraction, review, abstraction, and validation of clinical data from electronic health records (EHRs) and other medical records to support cardiovascular clinical research studies, quality improvement initiatives, outcomes research, registry participation, and performance measurement programs.

KEY RESPONSIBILITIES
Research Responsibilities

  • Abstract clinical data from electronic health records (EHRs), including imaging reports, physician documentation, laboratory results, procedure reports, and other clinical documentation for clinical research studies.
  • Abstract clinical endpoints and outcome measures according to protocol requirements.
  • Collaborate with investigators, research coordinators, project managers, and analysts to ensure data completeness, accuracy, and integrity. Conduct source data verification and quality assurance reviews.
  • Perform data validation checks and participate in data quality and completeness audits.
  • Identify missing, inconsistent, or conflicting clinical information.
  • Resolve discrepancies through comprehensive review of source documentation.
  • Maintain detailed documentation supporting abstraction decisions.
  • Adhere to Good Clinical Practice (GCP) standards.
  • Other duties as assigned.
Quality Responsibilities
• Abstract clinical data for quality improvement initiatives focused on cardiovascular care delivery, imaging utilization, patient outcomes, and guideline adherence.
• Assist with data collection for accreditation, benchmarking, registry participation, and performance improvement initiatives.
• Support internal quality programs and external reporting requirements.
• Maintain compliance with HIPAA, institutional privacy policies, and applicable regulatory requirements.
• Other duties as assigned.

QUALIFICATIONS
Required
• Bachelor's degree.
• Three or more years of chart abstraction experience.
• Proficiency with EHR systems.
• Strong Microsoft Excel and data management skills.
• Experience with REDCap, clinical trial databases, registry platforms, or quality reporting systems.
• Excellent written and verbal communication skills.

Preferred
• Registered Nurse (RN), Licensed Practical Nurse (LPN), or other clinical background.
• Experience reviewing cardiovascular patient records.
• Experience working in cardiology, cardiovascular imaging, or cardiovascular research environments.

KEY ATTRIBUTES
• Strong attention to detail and accuracy.
• Ability to work independently.
• Excels in a remote work environment.
• Strong organizational and communication skills.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

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