healthcare
Posted 12 hours agoSenior Quality Clinical Data Abstractor
at Natera
United StatesRemote
Responsibilities
- Perform high-quality medical record abstraction by combining proficient-level experiences in data management and software with medical terminology, medical coding, information encoding, and analytical capabilities.
- Interpret and manage complex clinical patient data for research, quality improvement, and regulatory reporting. PRIMARY RESPONSIBILITIES: •
Requirements
- Coding and Classification: Apply knowledge of medical coding systems (e.g., ICD-10, MedDRA, CPT, HCPCS) and standard of care guidelines, to interpret, classify and categorize abstracted clinical data points from unstructured text to standardized machine readable data in one common database schema. •
- Technical Support: Aid cross-functional teams in translating clinical and data abstraction and encoding requirements. Support prompt engineering and design for all AI and LLM initiatives. •
- Quality Assurance and Control: Apply industry standard best practices for utilizing real-world data for research, quality monitoring, and regulatory reporting using technical and analytical software such as running MACROs and using Excel/Google Sheets functions and formulas, and pivot tables to support ensuring abstracted data are accurate and clinical complete. •
- S. licensed Nurse, PA-C, NP, or DNP is required with a Master’s degree in health sciences.
- Strong understanding of medical terminology, disease processes (especially cancer), standard clinical workflows, and genetic testing. • Clinical
- experience in clinical data abstraction and medical records review, preferably in cancer, women’s health, rare diseases. •
- experience performing clinical data encoding using standard ontologies including but not limited to ICD-10-CM and SNOMED CT. Direct
- experience performing data mapping, standardization, and harmonization. • •
- Technical Proficiency: Proficient with Microsoft Office Suite or Google Suite, creating pivot tables, generating reports, data analysis, and using clinical data systems or databases common in clinical data abstraction, research, or clinical data management (e.g., fillable forms, ECDs, data registries). •
- Certifications/Industry Expertise: CCDM, CCRP, ACR-P, or CRA preferred. •
- Communication: Excellent written and verbal communication skills, with the ability to effectively collaborate with clinical and non-clinical teams. •