Daniella Meeker, PhD
Assistant Professor, Department of Preventive Medicine
University of Southern California
Daniella Meeker, PhD is an Assistant Professor of Preventive Medicine at University of Southern California and Adjunct Information Scientist at the RAND Corporation. She directs the Informatics Program in the Southern California Clinical Translational Sciences Institute and is a professor at the Pardee RAND Graduate School. Her engineering research focuses on distributed architectures supporting integration of research, data analysis, and practice. Her data policy research includes investigations in how to improve the safety of health information technology and clinical quality measurement. Other projects have included development of collaborative platforms for knowledge management, machine learning, and health and behavioral economics. Meeker earned her Ph.D. in Computation and Neural Systems from the California Institute of Technology.
Ohno-Machado L, Agha Z, Bell DS, Dahm L, Day ME, Doctor JN, Gabriel D, Kahlon MK, Kim KK, Hogarth M, Matheny ME, Meeker D, Nebeker JR; pSCANNER team. pSCANNER: patient-centered Scalable National Network for Effectiveness Research. J Am Med Inform Assoc. 2014 Jul-Aug;21(4):621-6. doi: 10.1136/amiajnl-2014-002751. Epub 2014 Apr 29. PMID: 24780722
Ohno-Machado L, Agha Z, Bell DS, Dahm L, Day ME, Doctor JN, Gabriel D, Kahlon MK, Kim KK, Hogarth
M, Matheny ME, Meeker D, Nebeker JR. pSCANNER: patient-centered Scalable National Network for Effectiveness Research. Journal of the American Medical Informatics Association 2014:21(4): 621-626
Meeker D, Hussey PS, Shetty K, Singer AE, Damberg CL. Project Report: Integration of Structured Evidence and Data into eMeasure Development: Office of the National Coordinator for Health Information Technology; 2013. Report No.: PR-442-ONC
