Responsibilities
- Lead the process of abstracting data from medical records to calculate HEDIS measures.
- Ensure the accuracy and completeness of data abstraction processes.
- Collaborate with clinical and operational teams to improve data quality and reporting.
- Develop and maintain documentation for data abstraction processes.
- Train and mentor staff on data abstraction techniques and best practices.
- Identify and address discrepancies in data to ensure compliance with HEDIS standards.
- Participate in quality improvement initiatives to enhance data abstraction methods.
- Monitor and report on the progress of data abstraction projects.
- Conduct regular audits to verify the accuracy of abstracted data.
- Provide feedback to improve the efficiency of data abstraction processes.
- Work with external auditors to ensure compliance with HEDIS guidelines.
- Develop and implement strategies to enhance data abstraction workflows.
- Analyze data trends to identify areas for improvement in data abstraction.
- Coordinate with IT teams to ensure data systems support abstraction needs.
- Ensure that data abstraction processes align with regulatory requirements.
- Maintain up-to-date knowledge of HEDIS measure changes and updates.
- Participate in meetings to discuss data abstraction progress and challenges.
- Document and report on data abstraction findings and recommendations.
- Collaborate with stakeholders to ensure data abstraction meets organizational goals.
- Ensure that data abstraction processes are efficient and cost-effective.
- Provide regular updates on data abstraction activities to relevant teams.
- Develop and implement quality control measures for data abstraction.
- Ensure that data abstraction processes are compliant with industry standards.
- Conduct training sessions on new data abstraction tools and techniques.
Nice to Have
- Certification in HEDIS data abstraction.
- Experience with data abstraction in a managed care setting.
- Familiarity with NCQA standards and guidelines.
- Experience with data abstraction for multiple HEDIS measures.
- Knowledge of healthcare analytics and reporting.
- Experience with data abstraction software and tools.
- Familiarity with healthcare data governance and security.
- Experience with data abstraction in a regulatory environment.
- Knowledge of healthcare quality metrics and benchmarks.
- Experience with data abstraction for value-based care models.
- Familiarity with healthcare data interoperability standards.
- Experience with data abstraction for population health management.
- Knowledge of healthcare data privacy and confidentiality.
- Experience with data abstraction for clinical research.
- Familiarity with healthcare data visualization tools.
- Experience with data abstraction for performance improvement.
- Knowledge of healthcare data analytics and reporting.
- Experience with data abstraction for patient safety initiatives.
- Familiarity with healthcare data integration and management.
- Experience with data abstraction for clinical quality measures.
Compensation
Competitive salary and benefits package.
Work Arrangement
Full-time, on-site position.
Team
Work within a collaborative team focused on quality improvement and data management.
Education
Bachelor's degree in a related field such as Health Information Management, Nursing, or a related healthcare discipline.
Certifications
Certified Professional Coder (CPC) or Certified Coder (CCS) preferred.
Technical Skills
- Proficient in Microsoft Office Suite (Excel, Word, PowerPoint).
- Experience with data abstraction software and tools.
- Familiarity with electronic health records (EHR) systems.
Physical Requirements
- Ability to sit for extended periods.
- Occasional lifting of up to 20 pounds.
- Manual dexterity for data entry and computer use.
Work Environment
Office setting with potential for travel to other locations for training or audits.
Travel
Occasional travel may be required for training or audits.
Schedule
Standard business hours with potential for flexible scheduling.
Additional Information
- This position requires a high level of accuracy and attention to detail.
- Must be able to work independently and as part of a team.
- Experience with healthcare data systems and databases is preferred.
Visa sponsorship is not available for this position.
