Venous thromboembolism (VTE) is an increasingly common complication among hospitalized children, now estimated to occur in nearly 60 in 10,000 admissions. Childhood VTE increases the risk of in-hospital death by 2-to-6 fold.
The Research Informatics Core, in collaboration with Dr. Bryce Kerlin team and through the Technology Development Fund, is developing an innovative solution known as the VTE Smart Sifter. The innovative approach is two-fold; the first component combines the creation of a method, utilizing Natural Language Processing (NLP) techniques, to programmatically “sift” (data mine) through electronic records and then apply clinical business intelligence to identify variables based on the pre-defined logic. This business layer can “react” accordingly to “warn” the practitioner that specific patients have presented a high probability of VTE. The second component will calculate the pre-test probability score for those identified patients.