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 .
Evaluation of laboratory monitoring alerts within a computerized physician order entry system for medication orders.
BACKGROUND Errors involving medication use are common . Computerized physician order entry ( CPOE ) can improve prescribing practice s. Few studies have examined the effect of CPOE in combination with decision support tools on prescribing practice s in the outpatient setting . Less is known about prescribers ' adherence to laboratory monitoring recommendations . OBJECTIVE To evaluate if reminders presented during CPOE for medications would increase physicians ' compliance with guidelines for laboratory monitoring at initiation of therapy . STUDY DESIGN R and omized prospect i ve intervention study . METHODS Two hundred seven primary care physicians in a group-model managed care organization were r and omized to receive or not receive drug laboratory monitoring alerts within the CPOE system .  Adherence to laboratory monitoring recommendations for patients prescribed selected medications was compared between physician groups . RESULTS There was no significant difference between the control and intervention group physicians in the overall rate of compliance with ordering the recommended laboratory monitoring for patients prescribed study medications . Laboratory monitoring was performed as recommended 56.6 % of the time in the intervention group compared with 57.1 % of the time in the control group ( P = .31 ) . In cases in which a statistically significant difference was demonstrated , improved compliance favored the intervention group ( eg , 71.2 % vs 62.3 % [ P = .003 ] for gemfibrozil and 75.7 % vs 73.9 % [ P = .05 ] for statins ) . CONCLUSIONS As CPOE becomes more prevalent , additional research is needed to determine effective decision support tools . These findings then should be communicated to the developers and users of computerized medical record systems
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 .