Results for Clinical Informatics

Dr. Muthu's research interest is in cognitive informatics and clinical decision support systems. His current focus is on the recognition of clinical deterioration in hospitalized children, integration of risk predictions into decision support and how decision support systems affect patient safety.

Dr.Grundmeier’s research focuses on maximizing the existing and future potential of electronic health records (EHRs) for clinical research and knowledge delivery, with an overarching goal of improving health and healthcare for children.

Dr. Zorc's work focuses on the intersection of interventional clinical research, quality improvement (QI), and clinical informatics. He has formal certification in epidemiology, QI methodology, and clinical informatics, and has participated in multi-center research networks, guideline and improvement collaboratives, and electronic health record development locally and nationally.

Dr. Tsui's research interests include clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, signal processing, mobile healthcare, and large real-time clinical production systems. He's published over 100 peer-reviewed papers.

Dr. Simpao, a pediatric anesthesiologist and clinical informatician, has a strong track record of innovation and research. He's led projects that use visual analytics and machine learning models to derive insights and predict outcomes using large healthcare data sets.

Dr. Fiks’ research is aimed at improving outcomes for ambulatory pediatric patients through primary care, practice-based scholarship with a focus on improving health and healthcare decision-making through health information technology.

Dr. Li conducts methodological research in causal inference, unmeasured confounding, missing data, longitudinal analysis, survival analysis, mediation, Bayesian analyses, and survey methods.

Dr. Phillips' research interests involve learning health systems and the intersection of technology and clinical informatics with clinical research for pediatric oncology patients. His current focus is on developing novel automated methods to identify cancer patients with malnutrition and optimizing their nutritional support. He has a secondary interest in quality improvement research for supportive care in pediatric oncology.