Scott M. Pappada
-
Associate Professor
Associate Professor
Simulation Fellow
Prestige Faculty Appointment
Director of Research, Anesthesiology , College of Medicine and Life Sciences
Overview
overview
-
Dr. Scott Pappada has over 18 years of combined research and development experience in Academia, as well as the Medical Device, Healthcare, and Defense industries. He has a broad background in biomedical engineering with particular areas of expertise in signal processing, machine learning, mathematical modeling, and software development. He currently holds multiple faculty appointments within the University of Toledo’s (UT) College of Medicine and Life Sciences (Department of Anesthesiology) and College of Engineering (Departments of Bioengineering and Electrical Engineering and Computer Science). He also holds a position as Simulation Research Fellow within the UT’s Lloyd A. Jacob’s Interprofessional Immersive Simulation Center (IISC). He is the Director of Research for the University of Toledo's Department of Anesthesiology. He is Director of the Healthcare Technology and Innovation Laboratory located within the University of Toledo’s 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 UT to develop technologies to improve upon human performance, and healthcare education and training via simulation-based medical education. He has led development of a novel learning management platform PREPARE, which leverages multiple data sources including faculty/instructor assessments, and physiological data collected by learners to personalize training and education of healthcare providers and other professionals in training. He has an h-Index of 12 and has authored over 22 combined peer-reviewed scientific journal articles and book chapters, holds 7 US Patents and has contributed to over 40 national/international conference presentation/proceedings. He has contributed to the acquisition of over $13M 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’s of Science in Biomedical Engineering with a minor in Biomedical Sciences from Marquette University in 2005.
Publications
selected publications
-
Article (Faculty180)
-
2022Contributing factors to operating room delays identified from an electronic health record: A retrospective study. Anesthesiology Research and Practice.
-
2018Simulation-based medical education and effective staffing ratios. International Journal of Academic Medicine. 4:303.
-
2017Clinical decision support systems: From medical simulation to clinical practice. International Journal of Academic Medicine. 3:78.
-
2017Correlation between CCL20 and serum glucose in postoperative coronary bypass patient: A call for further investigation. International Journal of Academic Medicine. 3:112.
-
2017Increasing patient safety with neonates via handoff communication during delivery: a call for interprofessional health care team training across GME and CME. Advances in medical education and practice. 8:365.
-
2016The importance of emotional intelligence to leadership in an Academic Health Center. International Journal of Academic Medicine. 2:57.
-
2015Comorbidity polypharmacy score and its clinical utility: A pragmatic practitioner's perspective. Journal of emergencies, trauma, and shock. 8:224.
-
2013Evaluation of a model for glycemic prediction in critically ill surgical patients. PloS one. 8:e69475.
-
2011Neural network-based real-time prediction of glucose in patients with insulin-dependent diabetes. Diabetes technology & therapeutics. 13:135.
-
2008Development of a neural network for prediction of glucose concentration in type 1 diabetes patients. Journal of diabetes science and technology. 2:792.
-
2003Luminance Probes for Contrast Measurements in Medical Displays. Society for Information Display Digest. 928-931.
-
-
Article (Web of Science)
-
2020An Artificial Neural Network-based Predictive Model to Support Optimization of Inpatient Glycemic Control. DIABETES TECHNOLOGY & THERAPEUTICS.Full Text via DOI: 10.1089/dia.2019.0252 PMID: 31687844
-
2019A System for Real-Time Syringe Classification and Volume Measurement Using a Combination of Image Processing and Artificial Neural Networks. JOURNAL OF PHARMACEUTICAL INNOVATION. 14:341-358.Full Text via DOI: 10.1007/s12247-018-9358-5
-
2019Presumed antiphospholipid syndrome and thrombotic thrombocytopenic purpura: An infrequent association. CLINICAL CASE REPORTS. 7:1984-1988.Full Text via DOI: 10.1002/ccr3.2416 PMID: 31624623
-
2016Establishing an instrumented training environment for simulation-based training of health care providers: An initial proof of concept. International Journal of Academic Medicine. 2:32.Full Text via DOI: 10.4103/2455-5568.183324
-
2016The importance of emotional intelligence to leadership in an Academic Health Center. International Journal of Academic Medicine. 2:57.Full Text via DOI: 10.4103/2455-5568.183328
-
2013Evaluation of a Model for Glycemic Prediction in Critically Ill Surgical Patients. PLOS ONE. 8.Full Text via DOI: 10.1371/journal.pone.0069475
-
2011Neural Network-Based Real-Time Prediction of Glucose in Patients with Insulin-Dependent Diabetes. DIABETES TECHNOLOGY & THERAPEUTICS. 13:135-141.Full Text via DOI: 10.1089/dia.2010.0104
-
2010Development of a neural network model for predicting glucose levels in a surgical critical care setting. Patient Safety in Surgery. 4:15.Full Text via DOI: 10.1186/1754-9493-4-15
-
-
Book (Faculty180)
-
2021Health Security and the refugee crisis in Greece: the refugee perspective. InTech Publishing.
-
-
Chapter (Faculty180)
-
2011Neural Network Modeling Approaches for Patient Specific Glycemic Forecasting. Patient-Specific Modeling in Tomorrow's Medicine. Springer, Berlin, Heidelberg. 505.
-
-
Conference Poster (Faculty180)
-
Dissertation (Faculty180)
-
Early Access (Web of Science)
-
2021Machine learning in medicine: It has arrived, let's embrace it. JOURNAL OF CARDIAC SURGERY.Full Text via DOI: 10.1111/jocs.15918 PMID: 34392567
-
-
Editorial Material (Web of Science)
-
2017Increasing patient safety with neonates via handoff communication during delivery: a call for interprofessional health care team training across GME and CME. ADVANCES IN MEDICAL EDUCATION AND PRACTICE. 365-367.Full Text via DOI: 10.2147/amep.s129674
-
-
Letter (Web of Science)
-
2018Simulation-based medical education and effective staffing ratios. International Journal of Academic Medicine. 303.Full Text via DOI: 10.4103/ijam.ijam_1_18
-
-
Meeting Abstract (Web of Science)
-
2018DEGREE OF GLYCEMIC CONTROL AS A PREDICTOR OF POST-DISCHARGE FACILITY NEEDS IN CARDIAC ICU PATIENTS. CRITICAL CARE MEDICINE. 583-583.Full Text via DOI: 10.1097/01.ccm.0000529203.18461.49
-
2017A Novel Artificial Neural Network Antibiotic Decision Support System. ANESTHESIA AND ANALGESIA. 207-208.
-
2009DECREASED CCL20 LEVELS IN A HYPERGLYCEMIC POSTOPERATIVE CARDIAC SURGERY PATIENT: A POTENTIAL CONTRIBUTING FACTOR TO IMPAIRED WOUND HEALING?. CRITICAL CARE MEDICINE. A515-A515.
-
2009DEVELOPMENT OF A PATIENT SPECIFIC NEURAL NETWORK MODEL FOR PREDICTION OF GLUCOSE LEVELS IN A TRAUMA PATIENT. CRITICAL CARE MEDICINE. A505-A505.
-
2009REAL-TIME PREDICTION OF GLUCOSE LEVELS IN CRITICALLY ILL PATIENTS. CRITICAL CARE MEDICINE. A113-A113.
-
-
Patent (Faculty180)
-
Proceedings (Faculty180)
-
Review Article (Web of Science)
-
2017Correlation between CCL20 and serum glucose in postoperative coronary bypass patient: A call for further investigation. International Journal of Academic Medicine. 112.Full Text via DOI: 10.4103/ijam.ijam_101_16
-
Contact
full name
- Scott M. Pappada