Director-Data Scientist/Quality

The Director Data Scientist - Quality focuses on improving patient care quality through advanced analytics while optimizing revenue through quality-based payment programs. This role identifies quality improvement opportunities by analyzing both clinical care delivery and administrative data to ensure Baptist Memorial Health Care Corporation (Baptist) receives appropriate recognition for the high-quality care provided to patients.

This position combines deep analytical expertise with healthcare domain knowledge to use data from both process and outcome measures to predict performance in quality rating methodologies, identify improvement opportunities, and translate complex data into actionable insights for leadership and clinical teams. The ideal candidate is a data storyteller who can extract meaningful patterns from complex healthcare data sets, develop predictive models for quality outcomes, and effectively communicate findings to drive organizational change. This role requires someone who not only understands the data but can craft compelling narratives that make complex analytics accessible and actionable for diverse stakeholders across the organization.

This position will work collaboratively across multiple departments including quality, coding, CDI, finance, and BTS to identify and integrate data sources, create analytics frameworks, and implement data-driven strategies that maximize Baptist's performance in public quality rating programs and value-based payment models. The Director Data Scientist - Quality will be adept at using large data sets to find opportunities for clinical quality optimization, testing different courses of action, and developing algorithms to monitor performance, serving as a bridge between technical and clinical domains to help Baptist capture earned revenue by getting full credit for the quality care already being delivered.

Quality Performance Improvement Leadership

1. Facilitates and provides analytical leadership for the Quality Documentation Workgroup following the established improvement cycle:
   1. Identify specific quality performance opportunities through comprehensive data analysis.
   2. Benchmark Baptist's current performance against peer organizations and best practices.
   3. Provide data-driven validation of improvement opportunities through chart reviews and statistical analysis.
   4. Support the development of targeted solutions to address identified gaps.
   5. Implement proactive monitoring systems to track performance with sufficient lead time for intervention.
   6. Design sustainable analytics frameworks to maintain performance improvements.

Analytics and Modeling

1. Analyzes complex healthcare data sets to identify quality improvement opportunities and revenue optimization strategies.
2. Translates complex methodologies from CMS and other payers into analytical frameworks that can guide organizational decision-making.
3. Creates early warning systems that provide actionable insights with sufficient lead time to implement mitigation strategies before performance deadlines.
4. Designs and implements statistical analyses to evaluate the effectiveness of quality improvement initiatives
5. Researches and implements innovative analytical approaches and methodologies to solve complex quality performance challenges, continuously seeking new ways to leverage data for organizational improvement.
6. Develops and implements predictive analytics models to forecast Baptist's performance in public quality rating programs (CMS Stars, Leapfrog, Vizient, US News) and financial incentive programs (HVBP, HRRP, HACRP).
7. Researches and implements innovative analytical approaches and methodologies to solve complex quality performance challenges, continuously seeking new ways to leverage data for organizational improvement.

Data Visualization and Communication

1. Creates and maintains dashboards and other visualizations that clearly communicate quality performance metrics to various stakeholders.
2. Presents complex analytical findings to diverse audiences in a clear, actionable manner using storytelling techniques for relatability and relevance.
3. Provides data-driven insights to leadership on strategies to optimize performance in quality-based payment programs.

Collaboration and Team Development

1. Collaborates with quality, CDI, coding, and finance teams to integrate data sources and develop comprehensive analytics solutions.
2. Partners with IT and data governance teams to ensure data integrity, appropriate data access, and utilize available, standard platforms and tools.
3. Mentors and collaborates with quality analysts to build organizational analytics capabilities, with potential opportunity to develop and supervise a team of analysts with complementary skills as the program demonstrates value and return on investment to the organization.
4. Stays current with changes in healthcare quality measurement methodologies and payment models.

Process Improvement

1. Identifies opportunities to automate analytics processes and improve data accessibility.
2. Builds sustainable processes for accurate documentation review and improvement.
3. Fosters collaboration between quality, CDI, coding, and analytics teams.