Trauma TeleHelper for Operational Medical Procedure Support and Offline Network (Trauma THOMPSON) Challenge offers a first egocentric view dataset on emergency care procedures under resource constrained scenarios. This paper describes the baseline solutions to the four tasks of the Trauma THOMPSON Challenge 2023. They were not provided to the participants ahead of the challenge and was not part of the competition. The Temporal Segmentation Network algorithm is used for the action recognition task with top-1 accuracy of 11.38%. It is also used for the action anticipation task with top-1 accuracy of 5.82% and procedure recognition task with top-1 accuracy of 53.57%. ViLT is adopted for the Visual Question Answering challenge with an aggregate accuracy of 39.13%.