Elizabeth Bransfield

• Lead validation of clinical quality reviews focused on maternal mental health and tobacco use, ensuring health plans meet required quality standards.

• Translate federal healthcare regulations into actionable quality review processes, aligned with CMS requirements.

• Partner with senior leadership to develop and deliver clear, data-driven quality and technical reports for state healthcare clie

• Develops reporting specifications for State-determined performance measures using in-depth knowledge of current NCQA guidelines and specifications.
• Leads validation of Medical Record Review (MRR) measures developed at the State level, including validation of data, sampling of members for MRR, and coordination and dissemination of nurse review team findings to health plan.
• Acts as subject mat

• Oversaw State performance measure validation processes, providing training and guidance to junior teammates, while working as a key contact with healthcare plans.
• Coordinated data quality reviews between health plan, validation team, and Department of Health Services using understanding of reporting requirements, data submissions, and communicating results of validation.
• Analyzed data report

- Analyzed data reported from Managed Care Organizations from both a quality and trend perspective.
- Performed statistical analyses on reported data to more accurately and meaningfully identify both strengths and opportunities for a plan's set of performance measures.
- Interpreted technical report results and recommends enhancements or clarifications for selected methodologies.
- Coordinated dat

- Analyzed ESRD Grievance Satisfaction Survey and ICH CAHPS data; provided descriptive analyses as well as in-depth analysis of potential trends.
- Performed statistical analysis on existing data to identify potential reporting options at the national and Network level.
- Executed root-cause analysis to identify drivers of specific trends in medical data.
- Collaborated with ESRD NCC Data Team

- Managed quarterly analysis of worker's compensation reserving review
- Communicated results of analysis to business partners
- Developed new methodologies to analyze claims environments in the worker's compensation business
- Analyzed trends and metrics used to analyze worker's compensation claim behavior to relevant business partners
- Improved processes through more efficient data analysis and

- Collect and analyze DNA sequencing data with the aid of computer software
- Consult with clients on quality and meaning of sequencing results

- Analyzed real data collected from the Framingham Heart Study using SAS programming
- Conducted SAS analysis including generation of descriptive statistics, analysis of variance, chi-square tests,
multiple linear and logistic regression analysis
- Built solid understanding of data manipulation and interpretation with both SAS and R statistical software
- Presented results of analysis at the culmi

Earned a Bachelor of Science in Mathematics/Statistics from the University of Connecticut (2008–2012).