SrinithaReddy

Health Informatics Analyst with 4+ years of experience leading end-to-end analytics modules—from EHR reporting migration and quality measure automation to data governance—across hospital systems and multi-facility networks. Specialized in migrating legacy manual reports to automated Tableau dashboards and SQL-driven CMS measure extraction, reducing the quality reporting cycle by 25% and eliminating 15+ hours of manual compilation weekly. Led a complete data governance module standardizing definitions across 5 clinical departments, and built a predictive patient admission model that improved staffing efficiency by 18%.

Health Informatics Analyst - Banner Health - Phoenix, AZ

(2024-07)

• Led an end-to-end quality reporting module for CMS measures, extracting data from Epic and SQL Server using optimized SQL scripts, reducing the manual reporting cycle by 25% and improving submission accuracy.
• Engineered automated Tableau dashboards tracking readmission rates, patient satisfaction, and length of stay, consolidating data from 3 source systems into a single source of truth for clinical leadership.
• Built a Python-based data mining script identifying patients at high risk for hospital-acquired infections, enabling targeted interventions that contributed to a 15% reduction in targeted cases within six months.
• Developed predictive models using historical EHR data to forecast daily patient admission volumes, improving departmental staffing efficiency by 18% during peak seasonal periods.
• Partnered with cardiology and oncology departments to define data requirements for new clinical registries, ensuring complete and accurate initial data submission for 5,000+ patients.
• Uncovered a data inconsistency in lab result interfaces through root-cause analysis of HL7 messages, prompting a vendor correction that improved reporting accuracy for 12,000+ patient records annually.
• Trained 45+ clinical staff on self-service analytics tools (Power BI and Tableau), reducing IT dependency for standard report requests by 40% over three months.
• Spearheaded a data governance initiative standardizing 20+ clinical data definitions across 5 departments (e.g., "readmission," "length of stay"), enhancing cross-departmental reporting consistency.
• Authored technical documentation for 20+ newly implemented reports and dashboards in Confluence, ensuring sustainability and reducing onboarding time for new analysts by 50%.

Health Informatics Analyst - Fortis Healthcare - India

(2021-04 - 2023-12)

• Led an end-to-end data migration module for 5+ years of historical patient records from legacy systems to a new Laboratory Information System, maintaining 99.9% data integrity through validation scripts and reconciliation reports.
• Designed standardized report templates in Crystal Reports for 6 clinical departments, reducing manual data compilation time by an average of 15 hours per department per month (90+ hours monthly across network).
• Orchestrated the integration of patient satisfaction survey data with clinical outcomes in the data warehouse, enabling correlation analysis that improved patient experience scores by 8% within two quarters.
• Championed a data quality audit for outpatient billing records, rectifying coding discrepancies (ICD-10, CPT) that recovered an estimated $200K in potential revenue over six months.
• Evaluated and recommended improvements to master patient index (MPI) management, implementing deduplication logic that reduced duplicate record rates by 22% across the hospital network.
• Automated daily census and occupancy reports using SAP HANA SQL scripts, ensuring real-time data availability for operational decision-making by 7 AM daily, a 4-hour improvement over manual methods.
• Coordinated with a 12-member cross-functional team during LIS implementation, translating clinical user stories into 50+ technical specifications for the development and QA teams.
• Analyzed medication administration data and CDS alert logs, identifying a pattern that contributed to a 10% reduction in targeted alert fatigue within the EHR's clinical decision support system.
• Authored a 40-page training manual and conducted 20+ sessions for clinical end-users on new system functionality, data entry best practices, and report interpretation.

Master of Science - Health Informatics - DePaul University

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