ALSi vs TEGRotem

ALSi provides an economical, highly advanced and realistic patient condition simulation package. It is so easy to use you’ll be up and running in less than two minutes and can act as a fully featured multi parameter monitor, AED & defibrillator. Run off only two iPads, its simple setup makes it great for in-situ training. ALSi provides a super realistic simulation experience, enabling hi fidelity simulation even in low fidelity situations. This version includes over 50 ECG, BP and SP02 waveforms as well as selected scenarios. Download ALSi today! Please note this version has a timeout screen. Please contact iSimulate for more information.

This application cannot be used by the general public in managing any health condition. It is designed to teach specialist doctors how best to interpret viscoelastic testing results obtained from the TEG and Rotem devices, so that they may better understand the likely causes of bleeding disorders. It is not designed to influence clinical judgment. The algorithms are based on a wealth of publications in the medical literature for processing TEG and ROTEM data. The structure of the algorithms used in this app is very important, simplifying bleeding management to a stepwise approach following a physiologic process. These algorithms have been devised as a teaching tool for ease of comprehension and simulation training. See the following references for further information: : 1. Ranucci M, Aloisio T, Di Dedda U, Anguissola M, Barbaria A, Baryshnikova E. Fibrinogen and Prothrombin Complex Concentrate: The Importance of the Temporal Sequence—A Post-Hoc Analysis of Two Randomized Controlled Trials. Journal of Clinical Medicine. 2024;13(23):7137. 2. Pearse BL, Keogh S, Rickard CM, Fung YL. Barriers and facilitators to implementing evidence-based bleeding management in Australian cardiac surgery units: A qualitative interview study analysed with the Theoretical Domains Framework and COM-B model. BMC Health Services Research. 2020. A good summary of Rotem-guided algorithms can be found here: ORCID: https://orcid.org/0000-0002-7315-9528 Korean J Anesthesiol 2019 August 72(4): 297-322 https://doi.org/10.4097/kja.19169