
Health Informatics graduate with a Master’s degree and strong foundational knowledge in electronic health records (EHRs), healthcare data analytics, clinical workflows, and health information systems. Skilled in data analysis, quality improvement, and healthcare technology support through academic training and hands-on projects.
Role: Clinical Research Data Analyst
Problem Description: The lack of standardized
tool for depression screening
Who and What is Affected: Patents, Healthcare
providers, clinicians, and overall patient care
quality.
Proposed Solution: Implementing the PHQ-9
tool at Rawson Neal for standardized depression
screening.
Led the implementation of the PHQ-9 tool within a clinical research setting, aimed at enhancing the assessment and management of patient mental health.
Collaborated with cross-functional teams, including IT, clinical staff, and data analysts, to integrate the PHQ-9 into the
existing Electronic Health Record (EHR) system.
Conducted a comprehensive needs assessment to tailor the tool's integration, ensuring alignment with clinical workflows
and regulatory requirements.
Key Responsibilities:
Monitored and evaluated the effectiveness of the implementation, making data-driven adjustments to improve usability
and accuracy.
Achievements:
Successfully integrated the PHQ-9 tool into the EHR system, improving the screening and identification of depression in
patients by 30%.
EHR Workflow Analysis Project
Healthcare Data Analytics Project
. Electronic Health Records (EHR/EMR) Systems, health Data Analytics and Visualization, healthcare Database Systems and SQL Clinical Decision Support Systems (CDSS)