Positions
- Associate Professor
-
Pediatrics-Critical Care
ÌÇÐÄvlogÃÛÌÒ of Medicine
Houston, TX, US
Addresses
- 6651 Main Street (Hospital)
-
MC: E1420
Houston, TX, 77030
United States
Phone: (832) 826-6230
ckennedy@bcm.edu
- TCH - Legacy Tower (Office)
-
6651 Main Street
Houston, 77030
Phone: (832) 826-6230
Education
- Ph.D. from University Of Texas At Houston
- 01/2010 - Houston, TX, United States
- M.Sc. from University Of Texas At Houston
- 01/2006 - Houston, TX, United States
- Advanced Training from ÌÇÐÄvlogÃÛÌÒ Of Medicine Affiliate Hospitals
- 01/2003 - Houston, TX, United States
- Advanced Training from National Library Of Medicine / Keck Center
- 01/2002 - Houston, TX, United States
- Advanced Training from ÌÇÐÄvlogÃÛÌÒ Of Medicine Affiliate Hospitals
- 01/2000 - Houston, TX, United States
- M.D. from ÌÇÐÄvlogÃÛÌÒ Of Medicine
- 01/1997 - Houston, TX, United States
- B.A. from University Of Texas At Austin
- 01/1993 - Austin, TX, United States
- B.S. from University Of Texas At Austin
- 01/1993 - Austin, TX, United States
Certifications
- MD
- ÌÇÐÄvlogÃÛÌÒ of Medicine
- PhD
- The University of Texas School of Biomedical Informatics
- Pediatrics
- #070262
- American Board of Pediatrics
- Pediatric Critical Care Medicine
- #1213
- 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 ÌÇÐÄvlogÃÛÌÒ 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.
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.
Websites
Videos
Interview with Clarence Wigfall following 2011 meeting for the Meaningful Use of Complex Medical Data. Describes how time series analysis can be applied to prediction models to improve their accuracy in predicting events such as cardiac arrest in an intensive care unit.
Selected Publications
-
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Funding
-
Predicting Cardiac Arrest in Pediatric Critical Illness
#1 K22 LM008389 - $375,000.00 (04/15/2006 - 03/31/2009)
- Grant funding from National Library of Medicine
-
Utilizing Knowledge Discovery in a PICU Database to Predict Respiratory Failure
#5T15LM07093 - (07/01/2001 - 06/30/2002)
- Grant funding from National Library of Medicine / Keck Center
Skills
- Decision Support
- Prediction Modeling
- Healthcare Analytics
- Quality Improvement
- Patient Safety
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