Developed Software

Hemodiadynamics©

1.      Real time calculation of single pool dialysis dose (spKt/V)

2.      Estimation of the Post BUN by showing the reduction of Blood Urea Nitrogen (BUN) over time.

3.      Calculation of post dialysis urea distribution volume (Modeled post-V) by showing its reduction over time.

4.      Estimation of in vivo dialyzer clearance,

5.      Estimation of recirculation of the vascular access,

6.      Estimation of the pre-BUN for the next dialysis session and

7.      Calculation of the overall session performance as a function of the delivered dialysis adequacy, overall equipment effectiveness and the intradialytic complications.

 

The feedback concept is at the heart of the HemodiaDynamics. Understanding feedback is critical for understanding and controlling system behavior. Intuitively, a feedback loop exists when information resulting from some action travels through a system and eventually returns in some form to its point of origin, potentially influencing future action. There are two basic types of feedback loops in the system - positive (self reinforcing) loops and negative (balancing) loops. As the name suggests, positive loops reinforces the effect to grow exponentially and negative loop approaches the equilibrium state by continuously reducing the gap between current state of the system and the equilibrium state. 

In addition to feedback, the second characteristic of a structural approach to this novel system is causality. In contrast to traditional modeling techniques, HemodiaDynamics explicitly define cause-and-effect relationships. Several analysis tools inside the system allow user to perform causal tracing. Causal tracing help users discover which actions are most likely to affect system behavior and which actions have little or no impact. The model offers an operational methodology to support decision-making. Nephrologists can use the model to test "what-if?" scenarios and explore what might have happened - or what could happen - under a variety of different past and future assumptions and across alternative decision choices.

ANFDIAC Ver. 1© 

ANFDIAC Ver. 2©