Aims and Scope

The Open Medical Informatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters and guest edited single topic in all important areas of medical informatics. The scope of the journal covers all areas of medical informatics including:

Hospital information systems, hospital and physician patient registration systems, image and signal processing, patient facing systems, information systems, transaction processing systems, electronic medical record systems, algorithmic / statistical methods, protocol development, mobile and wireless health, artificial intelligence, document handling systems, systems integration, organizational, economic, social, clinical impact, cost-benefit aspects of IT applications in health care.

The Open Medical Informatics Journal, a peer-reviewed journal, is an important and reliable source of current information on recent developments in the field. The emphasis will be on publishing quality papers rapidly and making them freely available to researchers worldwide.

Editor's Choice

Complex Coronary Hemodynamics - Simple Analog Modelling as an Educational Tool

Gaurav R. Parikh, Elvis Peter, Nikolaos Kakouros


Invasive coronary angiography remains the cornerstone for evaluation of coronary stenoses despite there being a poor correlation between luminal loss assessment by coronary luminography and myocardial ischemia. This is especially true for coronary lesions deemed moderate by visual assessment. Coronary pressure-derived fractional flow reserve (FFR) has emerged as the gold standard for the evaluation of hemodynamic significance of coronary artery stenosis, which is cost effective and leads to improved patient outcomes. There are, however, several limitations to the use of FFR including the evaluation of serial stenoses.


In this article, we discuss the electronic-hydraulic analogy and the utility of simple electrical modelling to mimic the coronary circulation and coronary stenoses. We exemplify the effect of tandem coronary lesions on the FFR by modelling of a patient with sequential disease segments and complex anatomy.


We believe that such computational modelling can serve as a powerful educational tool to help clinicians better understand the complexity of coronary hemodynamics and improve patient care.

July 28, 2017

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