Mounika Uppalapati

Conducted statistical analyses and visualizations using R to identify correlations in Long COVID-19 patients. Delivered impactful findings to stakeholders and contributed to clinical decision-making through detailed reports.

Developed and deployed an interactive survey for measuring informatics capabilities of community organizations, achieving a 60% response rate. Improved survey engagement and completion time through logic-based pathways, and visualized findings using Power BI dashboards.

Conducted survival analysis on patient records using R, achieving 85% accuracy in evaluating factors affecting survival rates. Led data cleaning and exploratory analysis to uncover significant trends.

Evaluated speech-generating devices for autistic users, identifying challenges and proposing improvements. Coordinated a multidisciplinary team to enhance communication skills for participants.

Designed relational database schemas and optimized SQL queries for hospital records. Developed machine learning models to predict hospital ratings and visualized performance metrics.

Implemented data verification protocols for EHR platforms, enhancing data accuracy. Analyzed EHR data alongside lab findings to improve diagnostic precision and developed performance indicators using Microsoft Office applications.

Managed the transition to EHR applications, reducing data entry errors by 30%. Assisted healthcare professionals during surgeries, improving procedural accuracy and patient outcomes.

Pursuing a Master of Science in Health Informatics, focusing on the integration of healthcare and information technology to improve patient outcomes and healthcare delivery.

Completed a Bachelor of Medicine and Bachelor of Surgery (M.B.B.S), gaining comprehensive knowledge in medical sciences and clinical practices.