iTEM vs TEGRotem

The iTEM app is designed specifically for health professionals to enhance their knowledge and understanding of Rotational Thromboelastometry (ROTEM). This app is an educational tool, providing a training module covering the fundamental principles of thromboelastometry, ROTEM assays, and parameters. With this module, healthcare practitioners can access detailed information on interpreting ROTEM traces, enabling them to make informed clinical decisions. In addition to the training module, the iTEM app offers an algorithm module, which is slated to be released in the near future.

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