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 .
Chronic care model and shared care in diabetes: randomized trial of an electronic decision support system.
OBJECTIVE To assess the effect of a specialist telemedicine intervention for improving diabetes care using the chronic care model ( CCM ) . PARTICIPANTS AND METHODS As part of the CCM , 97 primary care physicians at 6 primary care practice s in Rochester , MN , referred 639 patients to an on-site diabetes educator between July 1 , 2001 , and December 31 , 2003 . On first referral , physicians were central ly r and omized to receive a telemedicine intervention ( specialty advice and evidence -based messages regarding medication management for cardiovascular risk ) or no intervention , keeping outcome assessors and data analysts blinded to group assignment . After each subsequent clinical encounter , endocrinologists review ed an abstract from the patient 's electronic medical record and provided management recommendations and supporting evidence to intervention physicians via e-mail . Control physicians received e-mail with periodic generic information about cardiovascular risk reduction in diabetes . Outcome measures included diabetes care processes ( diabetes test completion ) , outcomes ( metabolic and cardiovascular risk factors , estimated coronary artery disease risk ) , and patient costs ( payer perspective ) . RESULTS During the intervention , 951 ( 70 % ) of the 1361 endocrinology review s detected performance gaps and result ed in a message ; primary care physicians reported using 49 % of messages in patient care . With a mean of 21 months ' follow-up , the intervention , compared with control , did not significantly enhance metabolic outcomes or reduce estimated risk of coronary artery disease ( adjusted mean difference , -1 % ; 95 % confidence interval , -19 % to 17 % ) . The intervention group incurred lower costs ( P=.02 ) but not in diabetes-related costs . CONCLUSION Specialty telemedicine did not significantly enhance the value of CCM in primary 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 .