Among CVRM patients , the results tended towards a beneficial effect of CDSS , but only LDL-c target attainment in diabetes patients reached statistical significance .
Prompting , integration into the electronical health record , patient empowerment , and medication support were related to more effective CVRM .
Conclusion We did not find a clear clinical benefit from CDSS in cardiovascular risk factor levels and target attainment .
Some features of CDSS seem more promising than others .
Clinical relevance of CDSS in CVRM might additionally be sought in the improvement of shared decision making and patient empowerment
Background Cardiovascular risk management ( CVRM ) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease .
Computerized decision support systems ( CDSS ) enable the clinician to integrate the latest scientific evidence and patient information into tailored strategies .
The effect on cardiovascular risk factor management is yet to be confirmed .
Effects of a computerized decision support system in improving pharmacological management in high-risk cardiovascular patients: A cluster-randomized open-label controlled trial
This study was aim ed to investigate the effects of computerized decision support system in improving the prescription of drugs for cardiovascular prevention . A total of 197 Italian general practitioners were r and omly allocated to receive either the alerting computerized decision support system integrated into st and ard software ( intervention arm ) or the st and ard software alone ( control arm ) . Data on 21230 patients with diabetes , 3956 with acute myocardial infa rct ion , and 2158 with stroke were analysed . The proportion of patients prescribed with cardiovascular drugs and days of drug – drug interaction exposure were evaluated . Computerized decision support system significantly increased the proportion of patients with diabetes prescribed with antiplatelet drugs ( intervention : + 2.7 % vs. control : + 0.15 % ; p < 0.001 ) or lipidlowering drugs ( + 4.2 % vs. + 2.8 % ; p = 0.001 ) . A statistically significant decrease in days of potential interactions has been observed only among patients with stroke ( −1.2 vs. −0.5 days/person-year ; p = 0.001 ) . In conclusion , computerized decision support system  significantly increased the use of recommended cardiovascular drugs in diabetic patients , but it did not influence the exposure to potential
Among CVRM patients , the results tended towards a beneficial effect of CDSS , but only LDL-c target attainment in diabetes patients reached statistical significance .
Prompting , integration into the electronical health record , patient empowerment , and medication support were related to more effective CVRM .
Conclusion We did not find a clear clinical benefit from CDSS in cardiovascular risk factor levels and target attainment .
Some features of CDSS seem more promising than others .
Clinical relevance of CDSS in CVRM might additionally be sought in the improvement of shared decision making and patient empowerment
Background Cardiovascular risk management ( CVRM ) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease .
Computerized decision support systems ( CDSS ) enable the clinician to integrate the latest scientific evidence and patient information into tailored strategies .
The effect on cardiovascular risk factor management is yet to be confirmed .