Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure , total and low-density lipoprotein cholesterol , and hemoglobin A1C levels .
CONCLUSIONS CDSSs are effective in improving clinician practice s related to screening and other preventive care services , clinical tests , and treatments .
CONTEXT Clinical decision support systems ( CDSSs ) can help clinicians assess cardiovascular disease ( CVD ) risk and manage CVD risk factors by providing tailored assessment s and treatment recommendations based on individual patient data .
The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors , practice s for CVD-related preventive care services such as clinical tests and prescribed treatments , and management of CVD risk factors .
Research Paper: A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission
OBJECTIVE Errors of omission are a common cause of systems failures . Physicians often fail to order tests or treatments needed to monitor/ameliorate the effects of other tests or treatments . The authors hypothesized that automated , guideline -based reminders to physicians , provided as they wrote orders , could reduce these omissions . DESIGN The study was performed on the inpatient general medicine ward of a public teaching hospital . Faculty and housestaff from the Indiana University School of Medicine , who used  computer workstations  to write orders , were r and omized to intervention and control groups . As intervention physicians wrote orders for 1 of 87 selected tests or treatments , the computer suggested corollary orders needed to detect or ameliorate adverse reactions to the trigger orders . The physicians could accept or reject these suggestions . RESULTS During the 6-month trial , reminders about corollary orders were presented to 48 intervention physicians and withheld from 41 control physicians . Intervention physicians ordered the suggested corollary orders in 46.3 % of instances when they received a reminder , compared with 21.9 % compliance by control physicians ( p < 0.0001 ) . Physicians discriminated in their acceptance of suggested orders , readily accepting some while rejecting others . There were one third fewer interventions initiated by pharmacists with physicians in the intervention than control groups . CONCLUSION This study demonstrates that physician workstations , linked to a comprehensive electronic medical record , can be an efficient means for decreasing errors of omissions and improving adherence to practice guidelines
Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure , total and low-density lipoprotein cholesterol , and hemoglobin A1C levels .
CONCLUSIONS CDSSs are effective in improving clinician practice s related to screening and other preventive care services , clinical tests , and treatments .
CONTEXT Clinical decision support systems ( CDSSs ) can help clinicians assess cardiovascular disease ( CVD ) risk and manage CVD risk factors by providing tailored assessment s and treatment recommendations based on individual patient data .
The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors , practice s for CVD-related preventive care services such as clinical tests and prescribed treatments , and management of CVD risk factors .