Bachelor's degree in Industrial and Systems Engineering or related field; Master's preferred.
Minimum of 4 years of relevant experience; Master's degree can substitute for 2 years.
Strong analytical and quantitative skills essential for data interpretation.
Proficiency in data visualization tools like Tableau or Power BI required.
Experience with data engineering or SQL is necessary.
Responsibilities
Lead the development and maintenance of analytics for Coding and CDI performance indicators.
Monitor and interpret coding and documentation performance against benchmarks and regulatory guidance.
Design dashboards and reports to identify trends and communicate performance effectively.
Translate complex data into actionable insights for leadership and clinical teams.
Provide technical project management support for Coding and CDI initiatives.
Coordinate collaboration across various departments to enhance operational efficiency.
Apply performance improvement methodologies to enhance documentation workflows and coding accuracy.
Benefits
Opportunities for professional development and continuing education.
Collaborative work environment with cross-functional teams.
Access to advanced data visualization and reporting tools.
Engagement in multidisciplinary improvement initiatives.
Supportive leadership focused on performance improvement.
Full Job Description
General Description of the Job Class
Serve 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 Level
Operational 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 Level
Education
Minimum of a Bachelor's degree in Industrial and Systems Engineering or related field. Master's degree desired.
Experience
Minimum 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 Certification
Knowledge, 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
