A User-Centered Data Visualization of Atherosclerotic Heart Disease Risk Factors

Area of Science:

• Cardiology
• Human-Computer Interaction
• Health Informatics

Background:

• Elevated cholesterol levels are a major risk factor for atherosclerotic cardiovascular disease (ACVD) and ischemic heart disease.
• Effective interpretation of lipid panel tests and cardiac risk factors is vital for timely intervention in hyperlipidemia.
• Current data visualization methods may not fully support efficient clinical decision-making for cardiovascular risk assessment.

Purpose of the Study:

• To propose a novel dashboard design for cardiovascular risk factors, informed by established design theories.
• To enhance the interpretation of lipid panel test results and other cardiac risk indicators.
• To improve the diagnosis, treatment, and prevention of cardiovascular disease (CVD).

Main Methods:

• Application of Gestalt principles and distributed cognitive theories in designing graphical data displays.
• Development of a user-centered dashboard focused on cardiovascular risk factors.
• Integration of lipid panel data and other relevant clinical information.

Main Results:

• The proposed dashboard aims to facilitate quicker and more accurate data interpretation by healthcare providers.
• Expected improvements in addressing cardiovascular disease (CVD) through enhanced diagnostic and treatment capabilities.
• Potential to alleviate clinical provider burnout and reduce healthcare system stress.

Conclusions:

• Design theories can optimize the visualization of complex health data, such as cardiovascular risk factors.
• Improved data display can lead to better patient outcomes and a more efficient healthcare system.
• The dashboard approach offers a promising strategy for managing hyperlipidemia and reducing cardiovascular disease burden.