Faculty Advisor: Karen Dunn Lopez and Sena Chae

Hometown: Ghana

My research program focuses on improving the quality and clinical usefulness of EHR nursing documentation to support evidence-based decision-making and patient care outcomes. Inadequate or inconsistent nursing documentation limits the validity of downstream clinical decision support systems, predictive analytics, and quality measurement efforts. My work addresses this challenge by examining concordance between nursing documentation in EHR-based nursing plans of care and standardized nursing terminologies and context-specific clinical guidelines. Using nursing science frameworks and health informatics methods, including natural language processing, I seek to evaluate documentation quality and extract clinically meaningful signals from both structured and narrative nursing data. This method supports the translation of high-quality documentation into functional tools that strengthen clinical decision support, predictive modeling, and nurse-led interventions. The long-term goal of my research is to support evidence-based nursing practice, improve nurse-led interventions, enhance the visibility and impact of nursing care within EHR data, strengthen care coordination, and advance data-driven nursing practice to improve outcomes for hospitalized populations, including patients with heart failure.