ArticleWorld journal of surgery2020
Development of a Visual Analytics Tool for Polytrauma Patients: Proof of Concept for a New Assessment Tool Using a Multiple Layer Sankey Diagram in a Single-Center Database.
Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Artificial intelligence: international perspectives on critical issues.OTA international : the open access journal of orthopaedic trauma · 2025Article
- Sex differences in the time trends of sepsis biomarkers following polytrauma.Scientific reports · 2025Article
- Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas.BMC medical informatics and decision making · 2024Observational
- The role of big data management, data registries, and machine learning algorithms for optimizing safe definitive surgery in trauma: a review.Patient safety in surgery · 2024Review
- The Road to Sepsis in Geriatric Polytrauma Patients-Can We Forecast Sepsis in Trauma Patients?Journal of clinical medicine · 2024Article
- Patterns of biologic and targeted-synthetic disease-modifying antirheumatic drug use in rheumatoid arthritis in Australia.Rheumatology (Oxford, England) · 2022Article
- A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care.IEEE Pacific Visualization Symposium : [proceedings]. IEEE Pacific Visualisation Symposium · 2022Article
- Article
- The Role of Lactate for Sepsis in Polytrauma Patients, a Time related Analysis using the IBM Watson Trauma Pathway ExplorerJournal of surgery and research · 2022Article
- New Time-Related Insights into an Old Laboratory Parameter: Early CRP Discovered byJournal of clinical medicine · 2021Article
- Validation of a Visual-Based Analytics Tool for Outcome Prediction in Polytrauma Patients (WATSON Trauma Pathway Explorer) and Comparison with the Predictive Values of TRISS.Journal of clinical medicine · 2021Article
- Identification and Validation of Ferroptosis-Related LncRNA Signatures as a Novel Prognostic Model for Colon Cancer.Frontiers in immunology · 2021Article
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7 authors.
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Abstract
introductionEarly physiological assessment of multiple 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.
methodsA 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 h). 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.
resultsA dynamic interactive multilayer Sankey diagram, based on cohort similarities, was developed in a collaboration between the University Hospital of Zurich, Department of Trauma 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 visualization used the data-driven documents (D3) interactive visualization library to create a responsive graphic.
conclusionsThis 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. LEVEL OF EVIDENCE: IV.
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