General Description of the Job ClassServe as a Management Engineer within the DUHS Quality Office, providing dedicated analytics, project management, and performance improvement support to Duke Health's Coding and Clinical Documentation Integrity (CDI) teams.
Duties and Responsibilities of this LevelOperational and Analytic Support- Lead development, validation, and maintenance of standardized analytics supporting Coding and CDI performance indicators, including documentation query activity, response rates, coding quality trends, CMI/GMLOS variation, DRG shifts, and opportunities for documentation improvement.
- Support monitoring and interpretation of coding and documentation-related performance against internal goals, external benchmarks, payer requirements, and regulatory guidance.
- Design and maintain dashboards and reports that help DUHS Quality Office and Coding/CDI leaders identify trends, prioritize work, monitor interventions, and communicate performance to operational and clinical partners.
- Translate complex coding, CDI, clinical, quality, and financial data into clear, actionable insights for DUHS Quality Office leadership, Coding/CDI leadership, clinical teams, and executive stakeholders.
Project Management & Operational Support- Provide technical project management support for Coding and CDI initiatives.
- Coordinate cross-functional collaboration across the DUHS Quality Office, Coding, CDI, and clinical operations.
- Develop and manage project plans, timelines, deliverables, and stakeholder communications.
Performance Improvement- Serve as a technical and analytical lead for multidisciplinary improvement initiatives that address documentation workflows, coding accuracy, query processes, and provider engagement.
- Apply performance improvement methodologies to streamline clinical documentation, template utilization, and tool adoption
- Monitor intervention outcomes, evaluate variation in Coding/CDI performance, and recommend data-driven course corrections to improve documentation integrity, coding accuracy, and related clinical and financial outcomes.
Required Qualifications at this LevelEducationMinimum of a Bachelor's degree in Industrial and Systems Engineering or related field. Master's degree desired.
ExperienceMinimum of 4 years of related experience. Experience can be supplemented with a Master's degree, with a Master's being equivalent to two years of experience. Or, with 2 years of Duke ME I experience
Degrees, Licensure, and/or CertificationKnowledge, Skills, and Abilities- Strong analytical, quantitative, and communication skills.
- Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI).
- Experience with data engineering or SQL.
- Ability to manage complex projects and work collaboratively with clinical and operational stakeholders
