AI Article Synopsis

  • Despite advancements in diagnosing and treating dyslipidemias, many people are still unaware of their condition, leading to global health challenges due to underdiagnosis and undertreatment.
  • The review highlights the potential of digital health tools and new care models to address current treatment gaps in lipid management.
  • It also discusses the evolution of healthcare policies, technological advancements in risk assessment, and the importance of a multidisciplinary approach to effectively reduce cardiovascular disease risks.

Article Abstract

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, unawareness, underdiagnosis and undertreatment of these disorders remain a significant global health concern. Growth in digital applications and newer models of care provide novel tools to improve the management of chronic conditions such as dyslipidemia. In this review, we discuss the evolving landscape of lipid management in the 21st century, current treatment gaps and possible solutions through digital health and new models of care. Our discussion begins with the history and development of value-based care and the national establishment of quality metrics for various chronic conditions. These concepts on the level of healthcare policy not only inform reimbursements but also define the standard of care. Next, we consider the advances in atherosclerotic cardiovascular disease risk score calculators as well as evolving imaging modalities. The impact and growth of digital health, ranging from telehealth visits to online platforms and mobile applications, will also be explored. We then evaluate the ways in which machine learning and artificial intelligence-driven algorithms are being utilized to address gaps in lipid management. From an organizational perspective, we trace the redesign of medical practices to incorporate a multidisciplinary team model of care, recognizing that atherosclerotic cardiovascular disease risk is multifaceted and requires a comprehensive approach. Finally, we anticipate the future of dyslipidemia management, assessing the many ways in which atherosclerotic cardiovascular disease burden can be reduced on a population-wide scale.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11272850PMC
http://dx.doi.org/10.31083/j.rcm2412350DOI Listing

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