Objective: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.
Materials And Methods: Data from electronic health records were collated over a period of 18 months. Inferred scores at a patient level (probability of a patient's set of active orders to require a pharmacist review) were calculated using a hybrid approach (machine learning and a rule-based expert system).
Objective: In patients with critical limb ischemia (CLI), blood pressure (BP) impact on mortality is unknown. We analyzed the predictive value of SBP, DBP and pulse pressure (PP) at hospital admission on 3-month mortality in patients with CLI undergoing revascularization procedure.
Methods: From November 2013 to December 2018, 297 consecutive patients were retrospectively included.