Alissa L. Russ-Jara
Specialization: Human Factors Engineering, Informatics, and Medication Safety
2007 Ph.D. Biomedical Engineering, Purdue University, West Lafayette, IN
2002 B.S. Agricultural Biochemistry, Math Minor, Iowa State University, Ames, IA
Dr. Russ integrates health services research with engineering methods to improve the design of health information technologies for healthcare professionals and patients, in order to enhance clinical decision-making and medication safety. She has expertise in human factors engineering, usability evaluation, and health information technology. Since 2007, Dr. Russ has led federally-funded research to evaluate the design of medication alerts, including drug-allergy, drug-drug interaction, and drug-disease alerts. Some of her other interests include investigating medication safety incidents, understanding healthcare professionals’ decision-making, and enhancing technologies to aid medication reconciliation. Dr. Russ has given over 20 invited presentations and her research has received special recognition from the International Medical Informatics Association.
PHRM 868, Patient Safety and Informatics
PHRM 849, Population Health Management
PHAD 696, Graduate Seminar
Honors and Credentials
Career Development Award, VA HSR&D
Marquis Who's Who in America
Russ, et al, JAMIA 2014 was selected by the International Medical Informatics Association as one of the “best of medical informatics" articles from the 2014 literature.
1. Savoy AW, Patel H, Flanagan ME, Weiner M, Russ AL. “Systematic Heuristic Evaluation of Computerized Consultation Order Templates: Clinicians' and Human Factors Engineers' Perspectives,” Journal of Medical Systems, 41:129, July 22, 2017.
2. Russ AL, Militello LG, Glassman PA, Arthur KJ, Zillich AJ, Weiner M. “Adapting cognitive task analysis to investigate clinical decision-making and medication safety incidents,” Journal of Patient Safety, Online ahead of print, May 3, 2017.
3. Russ AL, Melton BL, Daggy JK, Saleem JJ. “Pilot evaluation of a method to assess prescribers' information processing of medication alerts,” Journal of Biomedical Informatics, Nov 28, 2016. 4. Melton BL, Zillich AJ, Saleem JJ, Russ AL, Tisdale JE, Overholser BR. “Iterative development and evaluation of a pharmacogenomic-guided clinical decision support system for warfarin dosing,” Applied Clinical Informatics, 7(4):1088-1106, Nov 23, 2016.
5. Rollins AL, Kukla M., Morse G, Davis L, Leiter M, Monroe-Devita M, Flanagan ME, Russ AL, Wasmuth S, Eliacin J, Collins LA, Salyers MP. “Comparative effectiveness of a burnout reduction intervention for behavioral health providers,” Psychiatric Services, April 1, 2016.
6. Melton BL, Zillich AJ, Russell SA, Weiner M, McManus MS, Spina JR, Russ AL. “Reducing prescribing errors through creatinine clearance alert redesign,” The American Journal of Medicine, 128: 1117-1125, Oct 2015.
7. Russ AL, Chen S, Melton BL, Johnson EG, Spina JR, Weiner M, Zillich AJ. “A novel design for drug-drug interaction alerts improves prescribing efficiency,” The Joint Commission Journal on Quality and Patient Safety, 41(9): 396-405, Sept 2015.
8. Russ AL, Chen S, Melton BL, Saleem JJ, Weiner M, Spina J, Daggy JK, Zillich AJ. “Design and evaluation of an electronic override mechanism for medication alerts to facilitate communication between prescribers and pharmacists,” Annals of Pharmacotherapy, Vol. 49(7) 761–769, April 8, 2015.
9. Payne TH, Hines LE, Chan RC, Hartman S, Kapusnik-Uner J, Russ AL, Chaffee BW, Hartman C, Tamis V, Galbreth B, Glassman PA, Phansalkar S, van der Sijs H, Gephart SM, Mann G, Strasberg HR, Grizzle AJ, Brown M, Kuperman GJ, Steiner C, Sullins A, Ryan H, Wittie MA, Malone DC. “Recommendations to improve the usability of drug-drug interaction clinical decision support alerts,” Journal of the American Medical Informatics Association (JAMIA), Nov 1, 2015.
10. Russ AL, Zillich AJ, Melton BL, Russell SA, Chen S, Spina JR, Weiner M, Johnson EG, Daggy JK, McManus MS, Hawsey J, Puleo A, Doebbeling BN, Saleem JJ. “Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation,” Journal of the American Medical Informatics Association (JAMIA), 21:e287-e296, Oct 2014.