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 .
Development and evaluation of a Computer-Assisted Management Protocol (CAMP): improved compliance with care guidelines for diabetes mellitus.
Disease-specific st and ards for directing patient management are becoming increasingly important . These st and ards , however , are often not followed because they are not sufficiently integrated into the clinical care setting . In this study we describe the development and evaluation of a Computer-Assisted Management Protocol ( CAMP ) of care guidelines for diabetes mellitus . While other studies have shown improved compliance with rule-based reminders , the CAMP customizes disease-specific care guidelines to individual patients over time . We evaluated the effect of the CAMP on compliance with guidelines in a prospect i ve , r and omized controlled study . The study was performed at a family practice clinic where much of the patient record is maintained electronically on The Medical Record ( TMR ) . The management protocol was developed from st and ards published by the American Diabetes Association . Fifty-eight providers were r and omized to either receive or not receive the CAMP for diabetes . Compliance with st and ards  was assessed by chart audits of all encounters with diabetic patients during the study interval . The following conclusion was made : the Computer-Assisted Management Protocol result ed in a statistically significant improvement in compliance with diabetes care st and ards
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 .