I’ll be working closely with Ty and Rob as part of the critical care faculty team, with a practice site in the medical ICU at the Anschutz Medical Campus. Most recently I was practicing as a clinical pharmacist in the medical ICU at the University of North Carolina Medical Center since 2012, where I served as program director for the PGY2 Critical Care Pharmacy Residency program and held an adjunct associate faculty position at the UNC Eshelman School of Pharmacy. I’ve lived on the East coast my entire life, but I’m excited to make the move West to work with new colleagues and explore new challenges!
Education, Licensure & Certifications
- PGY2 Critical Care Pharmacy Residency, UNC Medical Center
- PGY1 Pharmacy Residency, UNC Medical Center
- Doctor of Pharmacy, University of North Carolina Eshelman School of Pharmacy
Affiliations
- Society of Critical Care Medicine
- American College of Clinical Pharmacy
Research
- Applications of machine learning / artificial intelligence to improving medication use in the ICU
- Post-graduate pharmacy education & mentorship
- Pulmonary/critical care- acute respiratory distress syndrome, drug-device interactions with pharmacotherapy & mechanical ventilation, pulmonary arterial hypertension
- Critical care pharmacy practice advancement
Publications and Presentations
- Murray B, Sikora A, Mock JR, Devlin T, Keats K, Powell R, Bice T. Reverse Triggering: An Introduction to Diagnosis, Management, and Pharmacologic Implications. Front Pharmacol. 2022 Jun 22;13:879011. doi: 10.3389/fphar.2022.879011. PMID: 35814233; PMCID: PMC9256988.
- Jones S, Ly W, Murray B, Sikora A. Team science, layered learning, and mentorship networks: The trifecta for maximizing scholastic achievement for clinical pharmacists. Am J Health Syst Pharm. 2022 Dec 5;79(24):2271-2278. doi: 10.1093/ajhp/zxac255. PMID: 36087297.
- Sikora A, Jeong H, Yu M, Chen X, Murray B, Kamaleswaran R. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Sci Rep. 2023 Sep 20;13(1):15562. doi: 10.1038/s41598-023-42657-2. PMID: 37730817; PMCID: PMC10511715.
- Sikora A, Devlin JW, Yu M, Zhang T, Chen X, Smith SE, Murray B, Buckley MS, Rowe S, Murphy DJ. Evaluation of medication regimen complexity as a predictor for mortality. Sci Rep. 2023 Jul 4;13(1):10784. doi: 10.1038/s41598-023-37908-1. PMID: 37402869; PMCID: PMC10319715.