Onsite Clinical Data Integrity Coordinator

UCLA Health; Santa Monica (CA); On-site; USD 100,000 - 208,000; Full time

Job summary

UCLA Health is seeking a detail‑oriented Clinical Data Review Coordinator to support quality reporting and regulatory compliance. You will ensure accuracy and integrity of clinical data that informs patient safety initiatives and external reporting requirements.

The role emphasizes data abstraction, adherence to specifications, and collaboration with clinical teams to resolve data questions, with a focus on improving performance and safety across the health system.

Qualifications

• 3 years minimum direct patient care/clinical experience.
• Proficient with EHR and Microsoft Office.
• Commitment to quality and patient safety in data abstraction.

Responsibilities

• Review, abstract, validate, and submit patient data for Clinical Registries, PSIs, HACs, and other quality programs.
• Ensure data abstraction aligns with specifications, guidelines, and timelines.
• Perform data quality validation, including inter‑rater reliability reviews and case reversal workflows.
• Collaborate with clinical and non‑clinical teams to resolve data questions and ensure clarity.
• Support quality reporting and process improvement by updating specifications and identifying data issues.
• Maintain high standards of data accuracy, completeness, and integrity to support patient safety and quality initiatives.

Skills

Clinical data review

Data abstraction

Quality improvement

Patient safety

Attention to detail

Education

Bachelor's degree or equivalent

Master's degree in MS/MSN/MBA/Healthcare-related

CA RN License / Certification

Tools

EHR systems

Microsoft Office

Quality reporting tools

Job description

UCLA Health is seeking a detail‑oriented Clinical Data Review Coordinator to support quality reporting and regulatory compliance. You will ensure accuracy and integrity of clinical data that informs patient safety initiatives and external reporting requirements.

The role emphasizes data abstraction, adherence to specifications, and collaboration with clinical teams to resolve data questions, with a focus on improving performance and safety across the health system.