• Leads and manages all aspects of data analysis, reporting, dashboarding, and modeling for Quality Management, Risk Adjustment, and Education. Manages a team of 5 experienced data analysts.• Identifies data patterns, performs modeling, presents key findings, and proposes improvement recommendations to internal senior leadership as well as external regulatory entities such as NYS DOH. • Maximizes Medicare Risk adjustment payments and Quality Incentive bonuses by driving analytics to properly capture and improve the health status of 25,000 members across MLTC, Medicare Advantage, and HIV SNP health plans• Identifies opportunities for improvement in clinical and operational processes that can lead to improved quality of care through analysis and interpretation of varied healthcare, clinical and utilization data. Validates data integrity and works with technical teams to improve data pipelines and business logic in areas of data inaccuracy.• Serves as the primary technical contact between the Quality and Risk departments and external Quality/Risk vendors as well as internal teams such as IT, Business Intelligence, and Data Science teams.• Instructs, orients and trains department staff to new and existing reports, dashboards, reporting tools, and software.

• Supervised the Quality Analytics team, which develops and maintains all Quality Management (QM) and Education reporting.• Performed detailed and high-level analyses and reporting to provide insight to Quality department. Leverage relevant data to support strategic business decisions.• Performed high-visibility data analysis, modeling, and projection that predicted VNSNY’s CHOICE’s 4.5 Star Stars 2022 rating with 98% accuracy.• Served as technical liaison between internal operational and technical teams such as IT and BIA and drove the development of multiple dashboards.• Identified discrepancies in NYS DOH MLTC VBP QIP reporting worth thousands of dollars in VBP payments to LHCSA providers.• Developed analyses and dashboards to highlight improvements and deficiencies in performance/processes and evaluate potential challenges and/or opportunities for QM. Presented findings to internal leadership and external entities such as NYS DOH.

• Developed health system-wide Tableau dashboards to track readmissions, Emergency Department & Clinic utilization, and patient satisfaction (HCAHPS) for over 100,000 patients discharged from an inpatient setting every year. • Developed advanced reporting to measure staff productivity and patient outcomes for all Care Transition programs and Discharge Planning initiatives.• Served as point-person for all Readmissions data requests within the health system, as well as with external partners in transitional care.• Completed cross-database coordination and data cleaning to analyze data coming from hospital billing/claims, hospital EMR, outpatient billing, population health, MSHP (the ACO), and external partners such as home care organizations and skilled nursing facilities.• Served as liaison amongst clinical/administrative staff and IT to create and modify EMR documentation protocols that allow for clean and informative data output while also mitigating the administrative work of front-line staff. Also served as liaison for internal Tableau dashboarding team to create and modify executive-level dashboards.• Identified quarterly readmissions trends across the health system and at each local hospital and presented key findings to hospital executives at local hospital and enterprise level steering committee meetings• Created staff productivity trackers/dashboards used for quality assurance and process improvement internally and to report to stakeholders and trained clinical/administrative staff on reporting maintenance

• Ran tests to create predictive model and helped to create risk-adjusted outcomes of patient care.• Assisted with research publications, testing outcomes dashboards, and reporting data for VNSNY in order to improve patient services.• Cleaned, coordinated, and analyzed claims-based data to assess trends in LUPAs (Low Utilization Payment Adjustment claims).

• Monitored compliance of home health aides and notifying aides if his/her compliance is past due. • Data coordination and data entry of home health aides’ information after he/she completed orientation and monitored visits made by home health aides. • Coordinated nursing visits for supervision of aides during transfer of patients from CHOICE Community Care to Partners in Care.