I am a Professor of Information Science in the College of Computing and Informatics (CCI) at Drexel University, where I also direct the Interactive Systems for Healthcare (IS4H) Research Lab. I received my MLIS degree in 2005 and PhD in Information Science in 2009, both from the School of Communication and Information at Rutgers University. My research interests are in computer-supported cooperative work (CSCW), human-computer interaction (HCI), and medical informatics. My expertise is in ethnographic studies of practice and coordination in complex socio-technical systems that inform technology design and implementation. More recently, I have been focusing on designing interactive healthcare systems for critical care settings, including context-aware recommender system and clinical decision support. The research in my lab has been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the Agency for Healthcare Research and Quality (AHRQ). In 2013, I was a recipient of an NSF CAREER award. Prior to joining Drexel in 2011, I spent two years as a Postdoctoral Scholar and Visiting Assistant Professor at the University of Colorado Boulder. Note to Prospective PhD Students: I am looking for PhD students passionate about studying the role of technology in dynamic, high-risk medical work. If you are interested in designing, developing and implementing information technology in medical domains of great societal importance, please contact me to setup a time to discuss mutual interests and potential research projects. See also here for more information about our interdisciplinary PhD Program in Information Science in the College of Computing and Informatics at Drexel University. |
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| Recent Projects & Grants | Recent Publications | Contact |
NIH/NBIB R01: Development of a Video-Based Personal Protective Equipment Monitoring System This project will continue our preliminary work on developing and integrating a video-based system for automatically monitoring the use of personal protective equipment (PPE) in settings at high risk for infection transmission. NIH/NBIB R56: Development of a Video-Based Personal Protective Equipment Monitoring System The goal of this project is to integrate video-based approaches and user-centered design to develop a system for automatically monitoring the use of personal protective equipment (PPE) in settings at high risk for infection transmission. NIH/NLM R01: Intention-aware Recommender System for Improving Trauma Resuscitation Outcomes The goal of this project is to design, implement, and evaluate an intention-aware recommender system that (1) recognizes and tracks current team goals using sensor data, (2) derives recommendations that support adherence to goal-based protocols, and (3) displays these recommendations in real time on wall displays. NSF CHS: Medium: Collaborative Research: Activity Recognition for Reducing Delays in Fast-Response Teamwork The goal of this project is to develop a system that provides real-time feedback to trauma teams about potentially delayed activities and enables more rapid management of life-threatening injuries based on recognition of critical activities. AHRQ R03: Analysis of Factors Associated with Clinical Checklist Compliance The purpose of this project was to identify context attributes associated with non-compliant use of a checklist that is administered concurrently with dynamic clinical activities during trauma resuscitation. The research is establishing the relationship of checklist compliance behaviors to actual task performance and task attributes. NIH/NLM R01: Automatic Workflow Capture and Analysis for Improving Trauma Resuscitation Outcomes The purpose of this project was to identify deviations and non-routine events associated with adverse outcomes within the trauma resuscitation workflow using process mining. The research was also establishing the feasibility of using RFID sensors for detecting activities during trauma resuscitation. NSF CAREER: Supporting Fast-Response Medical Teams Through Interactive Information Displays The purpose of this research program was to develop innovative approaches for real-time presentation of process information to support situation awareness and collaborative work of interdisciplinary trauma resuscitation teams. The research will examine how context-specific information should be presented to support teamwork while accounting for team members’ perceptual and cognitive limitations. |
Mastrianni, A., Kim, M. S., Sullivan, T. M., Sippel, G. J., Burd, R. S., Gajos, K. Z., and Sarcevic, A., "To recommend or not to recommend: Designing and evaluating AI-enabled decision support for time-critical medical events," to appear in Proceedings of the ACM on Human-Computer Interaction (PACM HCI), Issue CSCW 2025, October 2025. Available on ArXiv. Mastrianni, A., Kmetz-Cutrone, P., Chang, K., Stein, J. Y., and Sarcevic, A., "Beyond decision making: Considering collaboration and agency in the design of AI-based decision-support systems for fast-response medical teams," to appear in Proceedings of the ACM on Human-Computer Interaction (PACM HCI), Issue CSCW 2025, October 2025. Sarcevic, A., Wood, E., Zellner, K. A., Ikponmwonba, C. D., Marsic, I., Kim, M. S., and Burd, R. S., "Understanding personal protective equipment use in interdisciplinary medical settings: Design explorations for just-in-time compliance alerts," to appear in Proceedings of the 2025 Conference on Designing Interactive Systems (DIS 2025), Funchal, Portugal, July 05-09, 2025, 17 pages. Yang, W., Kim, M. S., Sippel, G. J., Mun, A. H., McCarthy, K. H., Park, B., Sarcevic, A., Linguraru, M. G., Marsic, I., and Burd, R. S., "An image dataset for surveillance of personal protective equipment adherence in healthcare," Scientific Data, Vol. 12, Article No. 96, January 2025. Li, K., Kim, M. S., Yang, S., Sippel, G. J., Sarcevic, A., Burd, R. S., Marsic, I., "Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data," Journal of Biomedical Informatics, Vol. 161, January 2025, 104767. Zellner, K., Sarcevic, A., Barnouw, M., Krentsa, M. A., Sullivan, T. M., Kim, M. S., and Burd, R. S., "Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis," Proceedings of the ACM on Human-Computer Interaction (PACM HCI), Vol. 9, Issue 1, Article No. Group16 (23 pages), January 2025. Kim, M. S., Park, B., Sippel, G. J., Mun, A. H., Yang, W., Carthy, K. H., Fernandez, E., Linguraru, M. G., Sarcevic, A., Marsic, I., and Burd, R. S., "Comparative analysis of personal protective equipment nonadherence detection: Computer vision versus human observers," Journal of American Medical Informatics Association (JAMIA). Published online first: October 14, 2024. Kim, M. S., Sarcevic, A., Sippel, G. J., McCarthy, K. H., Wood, E. A., Riley, C., Mun, A. H., O’Connell, K. J., LaPuma, P. T., and Burd, R. S., "Factors associated with correction of personal protective equipment nonadherence in a multidisciplinary emergency department setting: A retrospective video review," American Journal of Infection Control (AJIC). Published online first: August 6, 2024. Mastrianni, A., Hamlin (Kulp), L., Alberto E. C., Sullivan T. M., Ranganna, A., Marsic, I., Burd, R. S., and Sarcevic, A., "Analysis of task attributes associated with crisis checklist compliance in pediatric trauma resuscitation," in Proceedings of the American Medical Informatics Association 2023 Annual Symposium (AMIA 2023), pp. 504-513, New Orleans, LA, November 11-15, 2023. Zellner K., Sarcevic, A., Krentsa, M. A., Sullivan, T. M., and Burd, R. S., "Understanding delay awareness and mitigation mechanisms through an iterative design and evaluation of a prototype alert system for complex teamwork," in Proceedings of the ACM on Human-Computer Interaction (PACM HCI), Vol. 7, Issue CSCW, Article No. 260, October 2023. Mastrianni, A., Sarcevic, A., Cui, H., Krentsa, M. A., Sullivan T. M., Zakeri, I., Marsic, I., and Burd, R. S., "Supporting awareness of dynamic data: Approaches to designing and capturing data within interactive clinical checklists," in Proceedings the ACM SIGCHI 2023 Conference on Designing Interactive Systems (DIS 2023), pp. 1293–1308, Pittsburgh, PA, July 10-14, 2023. Mastrianni, A. and Sarcevic, A., "Near-live simulations to the rescue: Lessons learned from using alternative simulation approaches for evaluating new technologies," in Extended Abstracts of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI EA 2023) – Case Studies, Article No. 393 (8 pages), April 23-28, 2023, Hamburg, Germany. Li, K., Marsic, I., Sarcevic, A., Yang, S., Sullivan, T. M. Tempel, P. E., Milestone, Z. E., Alberto, E. C., O'Connell, K. J., and Burd, R. C., "Discovering interpretable medical process models: A case study in trauma resuscitation," Journal of Biomedical Informatics, Vol. 140, April 2023. Gao, C., Marsic, I., Sarcevic, A., Gestrich-Thompson, W., and Burd, R. S., "Real-time context-aware multimodal network for activity and activity-stage recognition from team communication in dynamic clinical settings," in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 7, Issue 1, Article 12 (24 pages), March 2023.
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E: aleksarc [@] drexel DOT edu Travel & Conferences DIS 2025 CSCW 2025 PhD Students Current: Graduated:
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