Application of large language models in clinical record correction: a comprehensive study on various retraining methods.

Objectives: We evaluate the effectiveness of large language models (LLMs), specifically GPT-based (GPT-3.5 and GPT-4) and Llama-2 models (13B and 7B architectures), in autonomously assessing clinical records (CRs) to enhance medical education and diagnostic skills.

Materials And Methods: Various techniques, including prompt engineering, fine-tuning (FT), and low-rank adaptation (LoRA), were implemented and compared on Llama-2 7B.

Effectiveness of a communication skills training program for medical students to identify patients communicative clues.

Objective: This study explores whether an Experiential Training Programme (ETP) in communication skills (CS) improves students' ability to identify patients clues compared to those who follow a non-experiential training throughout their medical studies.

Method: Intervention Group (IG): 85 4th-year medical students who received the ETP and Control Group (CG): 67 recently graduated students who did not receive it. Their immediate (written) response was requested to three expressions offered by patients containing communicative clues.

[Teaching sessions in primary care. Experience in health centres in an area of Madrid].

Those responsible for teaching of primary care teams of Area 7 of Madrid have noted a significant disparity in the organisation of teaching sessions. Therefore, the Madrid Area 7 Commission for Teaching and Research organised an idea-sharing day. This article aims to show the different organisational forms, model sessions, the benefits of education sessions, perceived problems and suggestions for improvement.