Positions

Associate Professor
Pediatrics-Critical Care
Baylor College of Medicine
Houston, TX, US

Education

Ph.D. from University Of Texas At Houston
M.Sc. from University Of Texas At Houston
Advanced Training from Baylor College Of Medicine Affiliate Hospitals
Advanced Training from National Library Of Medicine / Keck Center
Advanced Training from Baylor College Of Medicine Affiliate Hospitals
M.D. from Baylor College Of Medicine
B.A. from University Of Texas At Austin
B.S. from University Of Texas At Austin

Certifications

MD
Baylor College of Medicine
PhD
The University of Texas School of Biomedical Informatics
Pediatrics
American Board of Pediatrics
Pediatric Critical Care Medicine
American Board of Pediatrics

Professional Statement

I am a native Texan and Texas Longhorn. I graduated from UT Austin in 1993 with BS and BA degrees in Chemistry and Biochemistry. I obtained my MD from Baylor College of Medicine in 1997, and remained at Baylor for residency in Pediatrics and fellowship in Pediatric Critical Care. During fellowship, I began my training in Informatics at The University of Texas School of Health Information Sciences (now the School of Biomedical Informatics), earning a Master’s degree in 2006, and a PhD in 2010.

My chief research interest is in prediction modeling based on time series analyses. My main focus is in predicting cardiac arrest in pediatric intensive care patients. I am also interested in clinical decision support, and being able to automatically detect potentially important events and to provide clinicians with information that may not be readily available as part of routine medical care.

I am a programmer, and have designed and operate a decision support tool at Texas Children's Hospital that culls information from the EMR (electronic medical record), automates clinically relevant calculations, and delivers this information over multiple channels to a variety of users ranging from bedside caregivers to researchers.

Selected Publications

Funding

Predicting Cardiac Arrest in Pediatric Critical Illness
- #1 K22 LM008389
Grant funding from National Library of Medicine
Utilizing Knowledge Discovery in a PICU Database to Predict Respiratory Failure
- #5T15LM07093
Grant funding from National Library of Medicine / Keck Center

Skills

Decision Support
Prediction Modeling
Healthcare Analytics
Quality Improvement
Patient Safety