Skip to main content

DataLab for Clinical Care & Population Health

The DataLab for Clinical Care & Population Health utilizes epidemiology, research-design principles, biostatistics, and computational data-science methods to focus on the following areas of research:

  • Comparative effectiveness research
  • Pragmatic health-systems research
  • Health-technology assessment
  • Quality assessment, control and improvement
  • Dissemination and implementation science
  • Geospatial analysis
  • Disparities of care
  • Health policy
  • Health care economics

Clinically, our predominant focus is on health and health care related to pediatric conditions, particularly congenital anomalies that require complex, multidisciplinary care.

The lab has been involved in many fruitful and impactful collaborations, including with the Centers for Disease Control and Prevention (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), the International Consortium on Health Outcomes Measurement (ICHOM), Americleft, NSQIP–Pediatric, and others.

Situated at Duke University, the lab is presently developing collaborations with other programs at Duke, including:

Advanced Training

Opportunities for working with the lab are open to Duke University medical, nursing, and graduate school students and residents. These opportunities include basic collaboration on research projects, as well as longer-term 1- or 2-year associations as part of a formal research sabbatical.

Priority is given to students with an advanced degree in public health, epidemiology, or policy; experience in biostatistics and/or computer science; working knowledge of R and/or Python; concurrent enrollment in the Master of Health Sciences in Clinical Research program offered by Duke School of Medicine; or through the Duke SCORES program.

Contact Us

Are you interested in health-services research, especially as it pertains to surgical and complex, multidisciplinary care? Would you like to propose a collaboration? Please get in touch!

Alexander C. Allori, MD, MPH

Latest Publications

Hansen, Adam W., Mullai Murugan, He Li, Michael M. Khayat, Liwen Wang, Jill Rosenfeld, B Kim Andrews, et al. “A Genocentric Approach to Discovery of Mendelian Disorders..” Am J Hum Genet 105, no. 5 (November 7, 2019): 974–86.

Full Text

Saldanha, F. Y. L., H. A. Levites, S. J. Staffa, C. Roussin, A. C. Allori, and C. R. Rogers-Vizena. “Maximizing Plastic Surgery Education Impact: Lessons from Resident Learning Styles and Experiential Learning Theory.” In Plastic and Reconstructive Surgery  Global Open, Vol. 7, 2019.

Full Text

Frank-Ito, Dennis O., David J. Carpenter, Tracy Cheng, Yash J. Avashia, David A. Brown, Adam Glener, Alexander Allori, and Jeffrey R. Marcus. “Computational Analysis of the Mature Unilateral Cleft Lip Nasal Deformity on Nasal Patency..” Plast Reconstr Surg Glob Open 7, no. 5 (May 2019).

Full Text