We are looking for an experienced Clinical Data Abstraction Manager to lead clinical data abstraction operations, ensure data accuracy and quality, and maintain compliance with healthcare regulatory and accreditation standards. The role involves managing teams, monitoring operational performance, driving process improvements, and ensuring timely completion of clinical registry data.
Role & responsibilities
- Lead and manage day-to-day clinical data abstraction operations and team performance.
- Oversee abstraction of complex core measures, cardiovascular services, trauma registry, VON, and infectious disease data.
- Ensure accuracy, completeness, consistency, and timely submission of clinical data in accordance with applicable regulatory and accreditation standards.
- Monitor productivity, quality metrics, data outcomes, and error rates; implement corrective actions and process improvements.
- Manage record rejections, resolve data discrepancies, and ensure timely closure of errors.
- Recruit, train, coach, and develop team members; conduct performance reviews and manage training requirements.
- Coordinate staffing, work schedules, workflow planning, and operational forecasting to meet mandated record completion timelines.
- Collaborate with cross-functional teams and senior stakeholders to resolve operational issues and improve service delivery.
- Maintain compliance with applicable standards, including NTDS, Trauma Registry, and ACS requirements.
- Prepare regular reports on team performance, productivity, quality, operational challenges, and improvement initiatives.
Preferred candidate profile
- Bachelor's degree required; equivalent relevant work experience may be considered.
- Minimum 5 years of leadership experience in Health Information Management, medical coding, nursing, or health registry abstraction.
- Experience managing healthcare data abstraction, clinical registries, or related clinical quality operations.
- Strong understanding of data quality, regulatory compliance, and clinical documentation standards.
- Advanced Excel skills, including pivot tables, lookups, large datasets, and structured trackers.
- Strong analytical, problem-solving, organizational, and decision-making skills.
- Excellent communication, stakeholder management, and team leadership capabilities.
- Ability to manage multiple priorities and work effectively in a cross-functional, matrixed environment.
Preferred Skills
- Knowledge of SQL, Power BI, Tableau, or similar reporting tools.
- Exposure to Lean, Six Sigma, or other process improvement methodologies.
- Experience in healthcare shared services, GCCs, or regulated operational environments.
- Experience with project tracking, process implementation, and change management.
- Coding or nursing certification preferred