Network Analysis and Comparative Effectiveness Research in Cardiology: A Comprehensive Review of Applications and Analytics

Abstract

Background Cardiovascular diseases (CVDs) are major public health problems worldwide
that require new strategies to increase the standard of care. Novel insights into personalized
care and resource efficiency from health systems research, economic evaluation, and big data
analytics to evaluate cardiac interventions.
Methods We apply insights from network analysis, comparative effectiveness research (CER),
ethnography, and leveraging big data tools such as electronic health records (EHRs) molecular
data, and AI-driven analytics especially to examine heart medicines and patient care plans.
Objectives This study aims to assess the potential use and added value of network analysis,
CER in real-world settings, AND ethnographic research as a strategy for improving clinical
outcomes among patients with cardiovascular diseases by identifying cost-effective treatment
options that can be tailored individually on all three levels (genetic, clinical biological and
socioeconomic) within healthcare decision-making models A Methodology Study Design