查看文章

PURPOSE: Most of clinical research studies require data collection from medical records. Manual extraction of the data can produce errors, is time consuming, expensive and require some level of expertise from data collectors. Development and implementation of Electronic Medical Records (EMR) has opened new opportunities for automatic data extraction. In order to validate accuracy of the automatic data extraction we compared it to the same data obtained by manual chart review.

METHODS: Manually collected data variables from randomly selected 25 patients were compared to the same data obtained through automatic extraction using METRIC Datamart, a Microsoft SQL-based integrative database mirrored the electronic medical records in a near real time. We selected 8 categorical variables (gender, age, invasive ventilation, non-invasive ventilation, vasopressors, transfusions, blood cultures, ICU mortality …