Big data analytics has emerged as a promising tool for solving problems across many healthcare-related areas. Malone researchers develop and deploy measurement technologies, new methods to structure and mine data, and pioneer new tools for analytics that advance clinical decision support, prediction, and process modeling for healthcare.
Casey Overby Taylor
PI: Suchi Saria
A targeted real-time early warning score (TREWScore) allows clinicians to recognize patients at risk for septic shock and provide earlier intervention than is standard.
PI: Narges Ahmidi
The Cardiac Surgery Division at the Johns Hopkins Hospital is a highly complex organization that involves multi-disciplinary services and care teams. The Cardiac Surgery team is routinely monitoring their quality of care, forming and testing hypotheses as to which parts of the care system need to be more efficient. This Malone- funded project establishes the foundation to investigate and pinpoint inefficiencies in cardiac surgery care by analyzing comprehensive data sets taken from a large cohort of patients. Researchers and clinicians from the Malone Center and Cardiac Surgery team up to validate and investigate four potential inefficiencies in the Cardiac Surgery care system: (1) Prediction of length of stay, (2) Early diagnosis of Heparin Induced Thrombocytopenia (HIT), (3) Measuring deviation from routine daily pathways, and (4) Prediction of Bounce-back patients to ICU. The larger goal of the project is to explore new data-driven approaches to improve the quality and efficiency of care for cardiac surgery patients.
PI: Mark Dredze
Goals of the project:
Associate a text mention with a medical concept in an ontology
Creates structured concept tags from medical text
News | Data Analytics
Among the Whiting School faculty, there is no shortage of engineers striving to make the world a safer place. In fields ranging from surgery to structural engineering, their approaches are as creative as they are promising.
Zeger’s research focus is on the development of statistical models that support scientific learning about human health.
Taylor has been selected to serve as Vice Chair of the Implementation track for the American Medical Informatics Association (AMIA) 2019 Informatics Summit, to take place March 25-28, 2019 in San Francisco, CA.