Myocardial ischemia is one of the leading cause of sudden cardiac death, often due to narrowing of Coronary artery resulting in poor oxygen supply (ischemic effect) in cardiac muscles. This disease has a high variable manifestation due to difference in location and extent of damaged area, thus hampering the understanding of disease progression and stratification. In this paper, we propose a multimodal simulation of cardiac ischemia to understand the disease progression with change in ischemic size and myocardial electrical propagation and to observe changes in hemodynamic parameters with change in disease severity. The in-silico cardiac model binds electrophysiological characteristics with hemodynamic parameters, thus giving a broader understanding of the effect of disease progression on various parameters like ejection fraction, contractility, blood pressure, etc, to assess ischemic manifestation leading to heart failure. Three different cases of ischemia have been simulated to study the effect of disease and its progression. The developed in silico cardiac model can be used to simulate and study the holistic effect of any such cardiac conduction disorder along with its effect and manifestation over hemodynamic parameters.