About Wei-Hsuan "Jenny" Lo-Ciganic
Wei-Hsuan “Jenny” Lo-Ciganic, M.S.Pharm, M.S., Ph.D. is an associate professor in the University of Florida College of Pharmacy, Department of Pharmaceutical Outcomes and Policy and Center for Drug Evaluation and Safety. As a pharmacist and pharmacoepidemiologist and pharmaceutical health services researcher, she applies well-thought-out pharmacoepidemiological approaches to address relevant issues in clinical practice, to make appropriate recommendations to health care professionals, and to enhance drug safety. Her research focuses on improving drug safety, medication adherence, pain management, quality of prescribing, and treatment for substance use disorders, especially among vulnerable populations (e.g., Medicaid beneficiaries). Dr. Lo-Ciganic has extensive experience applying advanced predictive analytics including machine learning and group-based trajectory modeling with large healthcare datasets.
Lo-Ciganic was recipient of the 2020 University of Florida Excellence Awards for Assistant Professors and the 2020 University of Florida College of Pharmacy Outstanding Clinical Science Publication Award. She has served as Principal Investigator (PI) and Co-Investigator (Co-I) on multiple federally and organization funded grants. For example, she is the PI of an R21 grant, entitled “Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults” funded by the National Institute on Aging. She is Consortium-PI on an R01 entitled “Using machine Learning to Predict Problematic Opioid Use”, which was funded by the National Institute of Drug Abuse (NIDA). Recently, she became the PI for the R01 study entitled “Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)” funded by NIDA. Since 2015, she has been a member and co-chair of the Pharmacy Quality Alliance’s (PQA) workgroups and Quality Metrics Expert Panel to develop and improve quality measures of prescription medications.
Pharmacoepidemiology, pharmaceutical health service research, patient safety, quality of prescribing and care, program and policy evaluation, medication adherence, prescription drug abuse and substance use disorders and advanced analytics including trajectory analysis, machine learning and spatial pattern mining
Extent and Factors Associated with Adherence to Antidepressant Treatment During Acute and Continuation Phase Depression Treatment Among Older Adults with Dementia and Major Depressive Disorder
UF researchers will use data from patients’ electronic medical records to help clinicians safely and effectively prescribe opioid medications.
The study led by Dr. Weihsuan “Jenny” Lo-Ciganic was published by PLOS One.
Pain Medicine is a multidisciplinary journal dedicated to pain clinicians, educators and researchers with an interest in pain from various medical specialties.
Weihsuan “Jenny” Lo-Ciganic, Ph.D., M.S., M.S.Pharm., will lead a short course workshop on machine learning as part of the International Society for Pharmacoeconomics and Outcomes Research’s Virtual ISPOR 2020 Conference from 10 a.m.…