Objective: To validate the performance of the developed clinical decision support system (CDSS) for participants with lipid metabolism disorders based on a decision tree algorithm. Materials and Methods: A clinical decision support system for participants with lipid profile abnormalities will be developed using the Orbeon open-source online form creation platform based on current clinical guidelines. During the CDSS pilot implementation, the electronic medical records (EMRs) of 500 participants from the Institute of Personalized Cardiology of the Biomedical Science and Technology Park at Sechenov University will be analyzed. Retrospective data on prescribed lipid-lowering therapy extracted from the EHR will be compared with the CDSS recommendations. The accuracy of the decisions will be assessed by three independent experts based on digitized clinical and laboratory patient profiles. The primary endpoint of the study will be to determine the accuracy of the system. Results: This study will result in the development (creation) and pilot application of the CDSS program in participants with dyslipidemia in real clinical practice. Conclusion: The developed CDSS system for dyslipidemia will significantly reduce the time required for clinical decision-making and help avoid errors in the interpretation of patient data.
Age range
18 Years
Sex
ALL
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Medical error in the interpretation of cardiovascular risk
Timeframe: At the end of the study: on average, 1.5 years
Medical error in prescribing lipid-lowering therapy
Timeframe: At the end of the study: on average, 1.5 years
Errors frequency in the functioning of the developed medical decision support system compared to the decision of three independent experts
Timeframe: At the end of the study: on average, 1.5 years