Dr. Sudat is a Sutter Health Epic data and analytic expert, and an informal content leader for the analytics team at the Sutter Health Center for Health Systems Research (East Campus, currently operating as Sutter's Research Development and Dissemination).
Over her 13-year career at Sutter Health, she has developed methods for accessing, extracting, and analyzing complex health data from multi-source electronic health records (EHRs) for clinical and observational research.
Dr. Sudat provides statistical consultation and support to Sutter researchers, and leads projects using large EHR datasets to address questions and challenges facing healthcare delivery and patient experience.
She has 10 years’ experience in palliative care, and led the evaluation of the Sutter Health Advanced Illness Management® (AIM) program. Using findings from AIM and with EHR data, Dr. Sudat developed an algorithm to prospectively identify patients potentially eligible for palliative care, which has been implemented across Sutter Health.Her other recent work includes risk prediction in palliative care and hospital readmissions, and evaluation of the impact of front-line treatments for sepsis on Sutter patient outcomes.
Dr. Sudat is a co-investigator on projects in migraine and mindfulness, diabetes, and the impact of air pollution on pre-term birth. She leads a project exploring the use of artificial intelligence to improve the identification of sepsis patients in the hospital.
Dr. Sudat completed graduate training in Biostatistics at the University of California at Berkeley, where she focused on risk prediction and semi-parametric methods for estimation in the context of causal inference and observational data.
Sutter Health Research Enterprise
2121 N. California Ave, Suite 310
Walnut Creek, CA, 94596