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 .
Use of an Automated Decision Support Tool Optimizes Clinicians’ Ability to Interpret and Appropriately Respond to Structured Self-Monitoring of Blood Glucose Data
OBJECTIVE We evaluated the impact of an automated decision support tool ( DST ) on clinicians ’ ability to identify glycemic abnormalities in structured self-monitoring of blood glucose ( SMBG ) data and then make appropriate therapeutic changes based on the glycemic patterns observed . RESEARCH DESIGN AND METHODS In this prospect i ve , r and omized , controlled , multicenter study , 288 clinicians ( 39.6 % family practice physicians , 37.9 % general internal medicine physicians , and 22.6 % nurse practitioners ) were r and omized to structured SMBG alone ( STG ; n = 72 ) ; structured SMBG with DST ( DST ; n = 72 ) ; structured SMBG with an educational DVD ( DVD ; n = 72 ) ; and structured SMBG with DST and the educational DVD ( DST+DVD ; n = 72 ) . Clinicians analyzed 30 patient cases ( type 2 diabetes ) , identified the primary abnormality , and selected the most appropriate therapy . RESULTS A total of 222 clinicians completed all 30 patient cases with no major protocol deviations . Significantly more DST , DVD , and DST+DVD clinicians correctly identified the glycemic abnormality and selected the most appropriate therapeutic option compared with STG clinicians : 49 , 51 , and 55 % , respectively , vs. 33 % ( all P < 0.0001 ) with no significant differences among DST , DVD , and DST+DVD clinicians . CONCLUSIONS Use of structured SMBG , combined with the DST , the educational DVD , or both , enhances clinicians ’ ability to correctly identify significant glycemic patterns and make appropriate therapeutic decisions to address those patterns . Structured testing interventions using either the educational DVD or the DST are equally effective in improving data interpretation and utilization . The DST provides a viable alternative when comprehensive education is not feasible , and it may be integrated into medical practice s with minimal training
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 .