Srinitha Reddy

Health Informatics Analyst with 4+ years of experience delivering healthcare analytics, EHR optimization, clinical reporting, and data governance solutions across hospital systems and multifacility healthcare environments. Proven expertise in SQL-based healthcare data analysis, Tableau and Power BI dashboard development, CMS quality reporting, and clinical workflow optimization. Experienced in collaborating with clinical, operational, and technical stakeholders to improve reporting accuracy, streamline workflows, and support data-driven decision-making.

Strong background in Epic and Cerner environments with hands-on experience in HL7 integrations, predictive analytics, healthcare data standards, and process improvement initiatives. Adept at translating complex healthcare data into actionable insights that improve operational efficiency, patient outcomes, and regulatory reporting performance.

Health Informatics Analyst - Banner Health - Phoenix, AZ

(2024-07)

• Led end-to-end CMS quality reporting initiatives using Epic Clarity and SQL Server, reducing manual reporting effort by 25% through optimized SQL-based automation and validation processes.
• Developed enterprise Tableau dashboards tracking readmission rates, patient satisfaction, and length of stay metrics by integrating data from three clinical source systems into a centralized reporting framework.
• Built Python-based predictive analytics models to identify patients at elevated risk for hospital-acquired infections, contributing to a 15% reduction in targeted infection cases within six months.
• Designed predictive admission forecasting models using historical EHR data, improving staffing allocation efficiency by 18% during high-volume periods.
• Collaborated with cardiology and oncology stakeholders to define registry reporting requirements and ensure accurate onboarding of clinical data for more than 5,000 patient records.
• Conducted root-cause analysis of HL7 interface discrepancies, identifying vendor-side issues that improved reporting accuracy for over 12,000 patient records annually.
• Delivered training and adoption support for 45+ clinical users on Tableau and Power BI self-service analytics tools, reducing routine reporting requests to IT teams by 40%.
• Spearheaded a cross-functional data governance initiative standardizing 20+ clinical data definitions across five departments, improving enterprise reporting consistency and data quality.
• Authored and maintained technical documentation for 20+ reporting solutions and dashboards within Confluence, reducing onboarding time for new analysts by 50%.
• Supported healthcare analytics initiatives involving CMS measures, utilization metrics, patient outcomes, and operational performance monitoring.

Health Informatics Analyst - Fortis Healthcare - India

(2021-04 - 2023-12)

• Led migration of 5+ years of historical patient records from legacy systems to a new Laboratory Information System (LIS), maintaining 99.9% data integrity through reconciliation reporting and validation scripts.
• Designed standardized Crystal Reports templates for six clinical departments, reducing manual reporting efforts by more than 90 hours monthly across the hospital network.
• Integrated patient satisfaction and clinical outcomes datasets within the enterprise data warehouse, enabling analytics initiatives that improved patient experience scores by 8%.
• Conducted data quality audits on outpatient billing records, identifying ICD-10 and CPT coding discrepancies that recovered approximately $200K in potential revenue within six months.
• Evaluated and optimized Master Patient Index (MPI) management processes by implementing deduplication logic, reducing duplicate patient record rates by 22%.
• Automated operational census and occupancy reporting using SAP HANA SQL scripts, enabling real-time reporting availability by 7 AM daily and improving reporting turnaround by four hours.
• Coordinated with a 12-member cross-functional implementation team during LIS deployment, translating clinical user stories into 50+ technical specifications for development and QA teams.
• Analyzed medication administration and clinical decision support alert data to identify workflow improvement opportunities, contributing to a 10% reduction in targeted alert fatigue.
• Developed a comprehensive 40-page end-user training manual and delivered 20+ training sessions on clinical system workflows, reporting interpretation, and data entry standards.
• Supported healthcare workflow optimization, data validation, reporting enhancement, and operational analytics initiatives across multiple clinical departments.

Master of Science - Health Informatics - DePaul University

Bachelor of Dental Surgery - Drs. Sudha and Nageswara Rao Siddhartha Institute of Dental Sciences