Extract, validate, and analyze clinical data from multiple EHR/EMR platforms to support registries, reporting, and quality improvement. Maintain 98%+ data accuracy, ensure HIPAA compliance, perform clinical interpretation of pathology/radiology/treatment reports, support QA and inter-rater reliability, and prepare documentation and reports for clinical initiatives.
We are seeking a highly skilled Senior Analyst – Clinical Data Abstraction with hands-on expertise in EHR/EMR systems and a strong foundation in medical terminology. The role involves extracting, analyzing, and validating clinical data to support registries, reporting initiatives, and quality improvement programs, while ensuring compliance with regulatory standards.
Key Responsibilities
- Data Extraction & Entry: Navigate multiple EMR/EHR platforms to identify and abstract relevant clinical data points.
- Quality & Accuracy: Achieve and maintain 98%+ accuracy in data collection, ensuring inter-rater reliability and adherence to project-specific guidelines.
- Clinical Analysis: Review and interpret pathology, radiology, and treatment reports to categorize data accurately.
- Compliance & Confidentiality: Maintain patient confidentiality and adhere to HIPAA regulations.
- Reporting & Documentation: Compile, summarize, and present data for clinical registries and quality reporting initiatives.
- Collaboration & Learning: Actively participate in team meetings, training sessions, and collaborative projects to achieve departmental goals.
- Technical Expertise: Maintain advanced knowledge of medical terminology and EMR/EHR systems. Proficiency in MS Excel for data management and reporting.
Quality Assurance
- Consistently meet or exceed quality benchmarks outlined in the QA plan.
- Incorporate feedback from Quality Analysts and reconcile errors promptly.
- Participate in quarterly inter-rater reliability assessments.
- Support QA processes to ensure data integrity and compliance.
Qualifications & Skills
- Education: Master’s degree in Life Sciences or related field.
- Experience: 3–5 years in clinical data abstraction, oncology, or registry work.
- Proficiency in EHR systems, Microsoft Office, and database tools.
- Strong command of medical terminology, anatomy, and disease processes; familiarity with Core Measures is a plus.
- Exceptional attention to detail, analytical mindset, and ability to work independently with minimal supervision.
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Extract, analyze, and validate clinical data from multiple EHR/EMR platforms to support registries, reporting, and quality improvement. Maintain 98%+ accuracy, ensure HIPAA compliance, reconcile QA feedback, perform clinical interpretation of pathology/radiology/treatment reports, and produce registry reports using Excel and database tools. Participate in inter-rater reliability assessments and team training.
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Healthtech
Extract, analyze, and validate clinical data from multiple EHR/EMR platforms to support registries, reporting, and quality improvement. Ensure 98%+ data accuracy, HIPAA compliance, QA participation, and present summarized findings. Use medical terminology knowledge and Excel for data management.
Top Skills:
Database ToolsEhrEmrExcelMS Office
Healthtech
Extract, validate, and analyze clinical data from multiple EHR/EMR systems for registries and quality reporting. Maintain 98%+ accuracy, ensure HIPAA compliance, interpret pathology/radiology/treatment reports, support QA processes, and present summarized results using Excel and database tools.
Top Skills:
Database ToolsEhrEmrExcelMS Office
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