Poison Control - Emergency Department Electronic Information Exchange, Predictive modeling of poison control outcomes, Using data mining methods to enable epidemiological study of medical unexplained syndromes
- BSN, Nursing, University of Illinois at Chicago
- MSN, Family Nurse Practitioner track, Northern Kentucky University
- PhD, Nursing Science, Information Science, Indiana University
Mollie R. Cummins, PhD, RN, FAAN is an Associate Professor of Nursing and Adjunct Associate Professor of Biomedical Informatics at the University of Utah. She holds a PhD in nursing science and information science from Indiana University. In 2007, she studied methods of complexity science including agent-based modeling and network analysis at the Santa Fe Institute. Prior to her career in informatics, she practiced as an emergency nurse and family nurse practitioner. She has made numerous scholarly contributions in informatics, and leads an award-winning program of research related to the induction of knowledge models for clinical decision support and informatics applications in poison control. Dr. Cummins serves on the Board of Scientific Counselors of the Lister Hill National Center for Biomedical Communications, the intramural research division of the National Library of Medicine. She serves is current President of the Utah Nursing Informatics Network and she is an elected member of the national steering committee of the Alliance for Nursing Informatics. At University of Utah, she is leading an AHRQ funded study to develop and evaluate a health information exchange process for emergency departments and poison control centers (1 R01 HS021472-01A1). She is also engaged in two Department of Veterans Affairs studies entailing the use of “big data” methods to develop predictive models of both MRSA (Methicillin-resistant Staphylococcus aureus) colonization and homelessness among veterans. She has authored over 60 articles, book chapters, scientific papers, and abstracts, and serves as a section editor for the journal "CIN: Computers, Informatics, and Nursing".