Implementation and validation of a risk stratification method at The Ottawa Hospital to guide thromboprophylaxis in XXXX @entity1 at intermediate-high risk for venous thrombosis.

@entity5 @entity1 @entity1211
BACKGROUND: @entity5 @entity1 have a significantly higher risk of developing a @entity1211 ( @entity1211 ) compared to non- @entity5 @entity1 and yet studies suggest @entity1211 risk among @entity5 @entity1 varies widely. Recently, predictive models capable of risk-stratifying a broad range of @entity5 outpatients have been developed. Using the Khorana model a score of 2 was intermediate-high risk for @entity1211 as reported by Ay and colleagues. However, validation in a broader population and methods to implement this model seamlessly into clinical practice are lacking. OBJECTIVE: To create and assess the feasibility of an innovative computerized Care Process Management System (CPMS) that would automatically access electronic medical records to calculate in real-time the risk of @entity1211 in @entity1 with active @entity5 using an established @entity1211 risk scoring system. METHODS: A prospective observational study of all newly referred @entity5 @entity1 at the Ottawa @entity5 care provider for 1.2 million inhabitants, was conducted. RESULTS: 699 new referrals were determined to have a @entity5 diagnosis for the first time as identified by the computer software and qualified for our study and 580 were eligible. In total 25% had intermediate-high risk for @entity1211 and during the 3-month follow up period, 16 of the 143 (11%) developed a @entity1211 which further validates the Khorana model for identifying intermediate-high risk @entity1 . Of the 437 @entity1 in the low risk group 19 (4%) developed a @entity1211 . CONCLUSION: Newly diagnosed @entity5 @entity1 can be readily stratified into intermediate-high and low risk of @entity1211 using our novel CPMS system. This innovative tool can be used to facilitate customized management decisions regarding @entity1211 prophylaxis for intermediate-high risk @entity1 based their individual risk factors.
