Leveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients.
Publication Title
Current cardiology reports
Document Type
Article
Publication Date
8-22-2022
Keywords
cards; cards publication
Abstract
PURPOSE OF REVIEW: While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care.
RECENT FINDINGS: The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them.
Clinical Institute
Cardiovascular (Heart)
Specialty/Research Institute
Cardiology
Specialty/Research Institute
Health Information Technology
