2026-09-24T02:48:33Zhttps://ruor.uottawa.ca/server/oai/request

oai:ruor.uottawa.ca:10393/311902024-02-23T08:56:21Zcom_10393_242col_10393_11105

Developing an Electronic Hospital Trigger for Bleeding – The Ottawa Hospital ETriggers Project de Wit, Kerstin Forster, Alan Wells, Philip bleeding electronic medical records electronic identification Background Bleeding can be an adverse side effect from hospital treatment. The aim was to develop an electronic identification method for patients who are bleeding within The Ottawa Hospital. Methods A retrospective exploratory cohort (N=1000) was used to identify potential candidate markers for bleeding. Electronic data were extracted to evaluate candidate identifiers. Data which were associated with bleeding events were assessed in a model derivation cohort (N=700). Multivariate analysis was used to establish the best model for identifying all bleeding events and in-hospital bleeding events. Results Overall 38% of the exploratory cohort had bleeding. In the model derivation set 29% had bleeding. The model predicting all bleeding included number of transfusions, admitting specialty, re-operation and endoscopy (C-statistic 0.82, 95%CI 0.79-0.86). The model predicting in-hospital bleeding included number of transfusions, admitting specialty and re-operation (C-statistic 0.78, 95% CI 0.73-0.84). Conclusion We have developed two models for identifying hospital bleeding events from The Ottawa Hospital electronic medical records. These should be validated prospectively on the hospital-wide population. 2014-06-17T20:09:23Z 2014-06-17T20:09:23Z 2014 2014 Thesis http://hdl.handle.net/10393/31190 http://dx.doi.org/10.20381/ruor-3786 en application/pdf Université d'Ottawa / University of Ottawa