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 a computer to detect and respond to clinical events: its effect on clinician behavior.
A computer was used to prospect ively detect and suggest responses to simple , medication-related events as reflected in a computerized record in a prospect i ve , r and omized study of a diabetes clinic with primary -care responsibility . There were two categories of event/suggestions : when the last observation of a test required for medication control was too old , the computer suggested a repeat ; and when an abnormality with therapeutic implication s was detected , the computer suggested a specific change in therapeutics . Clinicians responded to 36 % of events in the first category with computer reminders and 11 % without ( P less than 0.0001 ) ; they responded to 28 % of events in the second category with computer assistance and 13 % without ( P less than 0.026 ) . For the most clinical ly significant of these second category events , the difference was even greater : 47 % with and 4 % without computer assistance ( P less than 0.0004 ) . I believe that computer detection and response ( in the form of reminders ) to simple clinical events will change clinician behavior
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 .