Background The current paradigm for cardiovascular disease (CVD) emphasises absolute
risk assessment to guide treatment decisions in primary prevention. Although the derivation …

Although rapid advances in machine learning have made it increasingly applicable to expert
decision-making, the delivery of accurate algorithmic predictions alone is insufficient for …

Artificial intelligence (AI) technology has been increasingly used in the implementation of
advanced Clinical Decision Support Systems (CDSS). Research demonstrated the potential …

Background Numerous implementation strategies to improve utilization of statins in patients
with hypercholesterolemia have been utilized, with varying degrees of success. The aim of …

Objective: This review evaluates costs and benefits associated with acquiring, implementing,
and operating clinical decision support systems (CDSSs) to prevent cardiovascular disease …

Despite all the advancements in science, medical knowledge, healthcare, and the
healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity …

Purpose The purpose of this study is to investigate how Knowledge Management (KM) and
Intellectual Capital (IC) can increase the organizational performance of ambulatory …

Abstract Introduction Cardiovascular diseases (CVDs) represent a major Public Health
burden. High serum cholesterol levels have been linked to major CV risk. The objectives of …

This study presents systematic design guidelines for AI-powered clinical decision support
systems (AI-CDSS) based on a comprehensive literature review and theme analysis. The …

Background: Electronic health records (EHRs) have the potential to enhance patient-
provider communication and improve patient outcomes. However, in order to impact patient …