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 .
Impact of decision support in electronic medical records on lipid management in primary care.
Electronic decision-support tools may help to improve management of hyperlipidemia and other chronic diseases . This study examined the impact of lipid management tools integrated into an electronic medical record ( EMR ) in primary care practice s. This r and omized controlled trial was conducted in a national network of physicians who use an outpatient EMR . Adult primary care physicians were r and omized by office to receive an electronic form that was embedded in the EMR . The form contained prompts regarding suboptimal care based on Adult Treatment Panel-III ( ATP-III ) guidelines , as well as reporting tools to identify patients outside of office visits whose lipid management was suboptimal . All active patients , ages 20 - 79 years , whose physicians participated in the study , were categorized as high , moderate , or low cardiovascular risk , and the proportion who were tested for hyperlipidemia , at lipid goal , and on lipid-lowering medications if not at goal were measured according to ATP-III guidelines . A total of 105 physicians from 25 offices and 64,150 patients were included in the study . Outcomes improved for most measures from before to 1 year after the intervention ( November 1 , 2005 to October 31 , 2006 ) . However , after controlling for confounding variables and for clustering in multilevel modeling , only up-to- date lipid testing for high-risk patients was statistically better in the intervention group as compared to the control group ( adjusted odds ratio 15.0 , P < 0.05 ) . This study showed few differences in quality of lipid management after implementing an EMR-based disease management intervention in primary care setting s. Future studies may need to examine more comprehensive interventions that include office staff in a team approach to care
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 .