Major Focus AreaS
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INDUSTRY COLLABORATORS
顿颈谤别肠迟辞谤听
Dr. Scott M. Pappada:听Dr. Scott Pappada has over 14 years of combined research and development experience
in Academia, as well as the Medical Device, Healthcare, and Defense industries. He
听has a broad background in biomedical engineering with particular areas of expertise
in signal processing, machine learning, mathematical modeling, and software development.
听He currently holds multiple faculty appointments within the University of Toledo鈥檚
(UT) 蜜桃传媒 of Medicine and Life Sciences (Department of Anesthesiology) and 蜜桃传媒
of Engineering (Departments of Bioengineering and Electrical Engineering and Computer
Science). He also holds a position as Simulation Fellow within the UT鈥檚 Lloyd A. Jacob鈥檚
Interprofessional Immersive Simulation Center (IISC). He is Director of the Healthcare
Technology and Innovation Laboratory located within the University of Toledo鈥檚 IISC.
His current research involves the development of software applications including intelligent
clinical decision support systems and data visualizations to improve healthcare provider
performance across a number of healthcare settings such as the ICU. Additionally,
he is working with faculty across 蜜桃传媒 to develop technologies to improve upon
human performance, and healthcare education and training via simulation-based medical
education. He is also working towards the development of a wearable technology that
monitors and predicts the risk for relapse in patients with opioid addiction. 听He
has authored over 16 combined peer-reviewed scientific journal articles and book chapters,
holds 2 US Patents and has contributed to over 40 national conference presentation/proceedings.
He has contributed to the acquisition of over $5M in research funding over his career
in industry and academia. Dr. Pappada received his Ph.D. in Engineering with a Bioengineering
concentration from the University of Toledo in 2010, and a Bachelor鈥檚 of Science in
Biomedical Engineering with a minor in Biomedical Sciences from Marquette University
in 2005.
Publications
Peer Reviewed Journal Publications
- Pappada SM, Papadimos TJ,听Clinical decision support systems: From medical simulation to clinical practice,Symposium for Int J Acad Med, 2017, In Press听
- Vanderbilt A,听Pappada SM, Stein H, Harper D, Papadimos TJ, 听Increasing patient safety with neonates via handoff communication during delivery: A call for interprofessional healthcare team training across GME and CME,听Advances in Medical Education and Practice, 2017
- Bhandary SP, Lipps J, Winfield SR, Abdel-Rasoul M, Stoicea N,听Pappada SM, Papadimos TJ.听NASA Task Load Index Scale to Evaluate the Cognitive Workload during Cardiac Anesthesia Based Simulation Scenarios,International Journal of Anesthesiolgy and Research, August 2016, In Press
- Papadimos TJ, Sipes AC, Lyaker MR, Murphy CV, Tsavoussis A,听Pappada SM.听The importance of emotional intelligence to leadership in an academic health center. The International Journal of Academic Medicine, July 2016.
- Pappada SM, Papadimos TJ, Lipps J, Feeney JJ, Durkee KT, Galster SM, Winfield S, Pfeil S, Castellon-Larios K, Bhandary SB, Stoicea N, Moffat-Bruce SM.听听Establishing an instrumented environment for simulation-based training of healthcare providers: an initial proof of concept. International Journal of Academic Medicine, July 2016.
- Comorbidity Polypharmacy Score and Its Clinical Utility: A Pragmatic Practitioner's Perspective. Review Article,听Journal of Emergencies, Trauma, and Shock, 2015.
- (2013)听Evaluation of a Model for Glycemic Prediction in Critically Ill Surgical Patients.听PLoS ONE8(7).
8.听听听听听听Pappada SM,听Cameron BD, Rosman PM, Papadimos TJ, Borst MJ, Bourey RE,听Neural Network Based Real-time Prediction of Glucose in Patients with Insulin Dependent Diabetes,听Diabetes Technology and Therapeutics,听February 2011, 13(2), pp. 135-141.
- Papadimos TJ,听Pappada SM, Lather JD, Bazalitski V, Stawicki SP, Cameron BD, Pan ZK. Correlation between CCL20 and serum glucose in postoperative coronary bypass patient: A call for further investigation. OPUS 12 Scientist 2010; 4(1):1-2.
- Pappada SM,听Borst MJ, Cameron BD,听 Bourey RJ,听 Lather JD, Shipp DM, Chiricolo A, Papadimos TJ,听Development of a neural network model for predicting glucose levels in a surgical critical care setting,听Patient Safety in Surgery听2010, 4:15.
- Pappada SM, Cameron BD, Rosman PM.听Development of a Neural Network for Prediction Glucose Concentration in Type I Diabetes Patients.听Journal of Diabetes Science and Technology. Sept. 2008 Vol 2. Issue 5, p.792-801.
- Badano A,听Pappada SM, Kelley EF, Flynn MJ, Martin S, Kanicki J,听Luminance Probes for Contrast Measurements in Medical Displays, SID 03 Digest (Society for Information Display), pp. 928-931, 2003.听
Book Chapters
- Durkee, K., Hiriyanna, A.,听Pappada, SM., Feeney, J. and Galster, S., Multi-model Approach to Human Functional State Estimation. In听International Conference on Augmented Cognition听(pp. 188-197). Springer International Publishing, July 2016
- Durkee K,听Pappada SM, Ortiz A, Feeney J, Galster S,Using Context to Optimize a Functional State Estimation Engine in Unmanned Aircraft System Operations.听in Foundations of Augmented Cognition, D.D. Schmorrow and C.M. Fidopiastis (Eds.): Proceedings of HCI International 2015, Springer-Verlag Berlin Heidelberg, pp. 24-35
- Durkee, K., Geyer, A.,听Pappada, SM, Ortiz, A., & Galster, S. (2013).听Real-Time Workload Assessment as a Foundation for Human Performance Augmentation, in Foundations of Augmented Cognition, D.D. Schmorrow and C.M. Fidopiastis (Eds.): Proceedings of HCI International 2013, Springer-Verlag Berlin Heidelberg, pp 279鈥�288.
- Pappada SM, Cameron BD, 鈥淣eural Network Modeling Approaches for Patient Specific Glycemic Forecasting鈥� in: Patient-Specific Modeling in Tomorrow's Medicine,听2012, Gefen A (Ed.): Springer, Springer Series: Studies in Mechanobiology, Tissue Engineering and Biomaterials, Volume 9, pp. 505-530.