iTEM vs TEGRotem

iTEM is a clinician-focused educational app designed to support healthcare professionals in learning and interpreting Rotational Thromboelastometry (ROTEM). It provides structured training modules covering ROTEM principles, assays, parameters, and trace interpretation, with practical content to support evidence-informed haemostatic management. An interactive Algorithm module, based on established ROTEM-guided approaches, is in development and will extend support for structured interpretation and decision-making in a future update. Additional educational resources are available via the developer website at www.jranalytics.com.au/item .

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