Azade Tabaie, PhD, is a Data Scientist at the MedStar Health Research Institute Center for Biostatistics, Informatics, and Data Science.
Dr. Tabaie’s unique background in machine learning, natural language processing, and artificial intelligence has allowed her to apply her expertise to the various objectives in the patient safety domain. Her past research has focused on developing predictive models to identify adverse outcomes among hospitalized patients in critical care.
Dr. Tabaie has received the Early Investigator Award from MedStar Health Research Institute to apply natural language processing techniques on clinical notes and patient safety event reports data to identify workplace violence incidents across healthcare systems.
Through her prior experience in working with the Children's Healthcare of Atlanta and Grady Hospital, she has hands-on experience in engaging with clinicians through qualitative and quantitative research methods. She holds a PhD in Biomedical Informatics from Emory University and a Master of Science in Industrial Engineering.
Research Interests
Dr. Tabaie’s research interests include
- artificial intelligence
- natural language processing
- clinical informatics
Selected Research
Dr. Tabaie currently supports multiple projects in developing machine learning models including Dr. Kristen Miller’s Patient Safety Learning Lab and Patient-Partnered Diagnostic Center of Excellence Projects, Dr. Munish Goyal's STI screening project, and the Safe Babies, Safe Moms Data Science project.
View Dr. Tabaie's publications on PubMed
