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 .
Effects of documentation-based decision support on chronic disease management.
OBJECTIVE To evaluate whether a new documentation-based clinical decision support system ( CDSS ) is effective in addressing deficiencies in the care of patients with coronary artery disease ( CAD ) and diabetes mellitus ( DM ) . STUDY DESIGN Controlled trial r and omized by physician . METHODS We assigned primary care physicians ( PCPs ) in 10 ambulatory practice s to usual care or the CAD/DM Smart Form for 9 months . The primary outcome was the proportion of deficiencies in care that were addressed within 30 days after a patient visit . RESULTS The Smart Form was used for 5.6 % of eligible patients . In the intention-to-treat analysis , patients of intervention PCPs had a greater proportion of deficiencies addressed within 30 days of a visit compared with controls ( 11.4 % vs 10.1 % , adjusted and clustered odds ratio = 1.14 ; 95 % confidence interval , 1.02 - 1.28 ; P = .02 ) . Differences were more pronounced in the " on-treatment " analysis : 17.0 % of deficiencies were addressed after visits in which the Smart Form was used compared with 10.6 % of deficiencies after visits in which it was not used ( P < .001 ) . Measures that improved included documentation of smoking status and prescription of antiplatelet agents when appropriate . CONCLUSIONS Overall use of the CAD/DM Smart Form was low , and improvements in management were modest . When used , documentation-based decision support shows promise , and future studies should focus on refining such tools , integrating them into current electronic health record platforms , and promoting their use , perhaps through organizational changes to primary care practice
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 .