ClinicalTime: Identification of Patients with Acute Kidney Injury using Temporal Abstractions and Temporal Pattern Matching.
Daniel Capurro, Mario Barbe, Claudio Daza, Josefa Santa María, Javier Trincado, Ignacio Gomez
AMIA Joint Summits on Translational Science Proceedings | Published : 2015
INTRODUCTION: The rising cost of providing healthcare services creates an extreme pressure to know what works best in medicine. Traditional methods of generating clinical evidence are expensive and time consuming. The availability of electronic clinical data generated during routine patient encounters provides an opportunity to use that information to generate new clinical evidence. However, electronic clinical data is frequently marred by inadequate quality that impedes such secondary uses. This study provides a proof-of-concept and tests the classification accuracy of ClinicalTime-a temporal query system-to identify patient cohorts in clinical databases. METHODS: we randomly selected a sam..View full abstract