The U.S. Army began evaluating the current state of computer models for physiological processes to determine the feasibility of their use in a range of medical simulation training systems that rely on physiology models. After researching potential models, the Quantitative Human Physiology (QHP)/HumMod model of human physiology seemed to be the most robust and compatible. This open-source physiology model simulated many organ systems of the body and the interplay among the organ systems. The model's structure was based on documented physiological responses within the peer-reviewed literature, but the framework communication protocol was not compatible with real time simulation systems due to performance limitations. Further, QHP incorporated over 5000 variables into its model and not all of this information is needed by a particular simulation. As a result, the Physiology Abstraction Model (PAM) was developed using simple physiological data to create a standalone "plugin" model that offered a standard interface and communication protocol between different components of a physiology model and any medical simulation using the model. The intent of this research was to reduce the complexity of incorporating these high fidelity models into real time systems. This paper documents the initial efforts of integrating HumMod with PAM on hemorrhage control scenarios. It will provide a detailed understanding of the complexities and issues associated with doing this and will provide significant data to demonstrate the computational benefits of utilizing physiology models in this fashion. Finally, this paper will also discuss how the resulting lessons learned have been applied to future research and design considerations.