Clinical Data Review Coordinator
Santa Monica, CAFull-time
Behavioral Health Market Context
Apply Nowvia UCLA Health Careers
Job Description
s
• Review, abstract, validate, and submit patient data for assigned Clinical Registries, Patient Safety Indicators (PSIs), Hospital-Acquired Conditions (HACs), and other quality reporting programs.
• Ensure all data abstraction aligns with established specifications, guidelines, and timelines.
• Perform data quality validation, including inter‑rater reliability reviews, secondary case reviews, and case reversal workflows.
• Collaborate with clinical and non‑clinical teams to resolve data‑related questions and ensure clarity and consistency.
• Support quality reporting and process improvement by:
• Implementing updated measure specifications
• Identifying abstraction‑related data issues
• Contributing to regulatory and accreditation activities
• Maintain high standards of data accuracy, completeness, and integrity to support organizational patient safety and quality initiatives.
Why This Role Matters
The Clinical Data Review Coordinator is essential to UCLA Health’s commitment to excellence. Your work ensures that the data driving our quality metrics is reliable, actionable, and aligned with regulatory expectations—ultimately supporting better outcomes for the patients and communities we serve.
Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $95,400 - $208,300 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the start and midpoint of this range.
• Review, abstract, validate, and submit patient data for assigned Clinical Registries, Patient Safety Indicators (PSIs), Hospital-Acquired Conditions (HACs), and other quality reporting programs.
• Ensure all data abstraction aligns with established specifications, guidelines, and timelines.
• Perform data quality validation, including inter‑rater reliability reviews, secondary case reviews, and case reversal workflows.
• Collaborate with clinical and non‑clinical teams to resolve data‑related questions and ensure clarity and consistency.
• Support quality reporting and process improvement by:
• Implementing updated measure specifications
• Identifying abstraction‑related data issues
• Contributing to regulatory and accreditation activities
• Maintain high standards of data accuracy, completeness, and integrity to support organizational patient safety and quality initiatives.
Why This Role Matters
The Clinical Data Review Coordinator is essential to UCLA Health’s commitment to excellence. Your work ensures that the data driving our quality metrics is reliable, actionable, and aligned with regulatory expectations—ultimately supporting better outcomes for the patients and communities we serve.
Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $95,400 - $208,300 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the start and midpoint of this range.
Qualifications
Benefits
- •The full salary range for this position is $95,400 - $208,300 annually
- •The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the start and midpoint of this range
Responsibilities
- •UCLA Health is seeking a detail‑oriented and mission‑driven Clinical Data Review Coordinator to support our quality reporting and regulatory compliance efforts
- •In this role, you will play a key part in ensuring the accuracy and integrity of clinical data that informs patient safety initiatives, internal performance improvement, and external reporting requirements
- •Review, abstract, validate, and submit patient data for assigned Clinical Registries, Patient Safety Indicators (PSIs), Hospital-Acquired Conditions (HACs), and other quality reporting programs
- •Ensure all data abstraction aligns with established specifications, guidelines, and timelines
- •Perform data quality validation, including inter‑rater reliability reviews, secondary case reviews, and case reversal workflows
- •Collaborate with clinical and non‑clinical teams to resolve data‑related questions and ensure clarity and consistency
- •Support quality reporting and process improvement by:
- •Implementing updated measure specifications
- •Identifying abstraction‑related data issues
- •Contributing to regulatory and accreditation activities
- •Maintain high standards of data accuracy, completeness, and integrity to support organizational patient safety and quality initiatives
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