LAUSR

Early physiological assessment of multiply injured patients is crucial for decision-making and has relied on personal experience of trauma experts. We have developed a new visual analytics tool (Sankey diagram, Watson Trauma Health care tool) that includes known prognostic parameters for polytrauma patients to help guide assessment and treatment decisions for physicians involved in trauma care. A prospectively collected trauma database of a single level I trauma center (3655 patients) was used. Inclusion criteria: age > 16 years, an Injury Severity Score (ISS) > 16, and presence of a complete data set in the database. Data collected included admission values of patient age, injury scoring, shock classification, temperature, acid-base and hemostasis parameters. All of these parameters were collected daily as longitudinal parameters. Endpoints of the clinical course we considered were sepsis, SIRS and early in-hospital mortality (<72 hours). A proof of concept of the visualization was developed over a 2-year period in a cooperation between physicians and engineers. Statistically, the most predictive parameters were selected by binary logistic regression and ROC analysis. A dynamic interactive multi-layer Sankey diagram, based on cohort similarities, was developed in a collaboration between a level I trauma center and IBM, from August 2017 until January 2018. It is a modular tool and allows any user to add a new patient, or work with an existing case. The visualisation used the Data-Driven Documents (D3) interactive visualisation library to create a responsive graphic. This application summarizes the experience of 3655 polytrauma patients and might serve as a guide for clinical decisions and educative purposes, as well as new scientific questions for the polytrauma patient.