Developing Clinical Documentation Skills—A Foundation Doctor's Perspective

Clinical documentation is a vital skill for any resident doctor, and the learning curve is often steepest during the initial weeks of foundation training. Clear, concise and comprehensive documentation is critical for patient safety 1. I read with interest the review by Wilesmith et al. 2, which suggests the use of initial didactic teaching to help students develop a schema or framework, followed by self-assessment against worked examples or guidelines. The literature also supports the use of ward-round proformas or checklists to improve the consistency of documentation 3. However, it should be acknowledged that documentation standards vary significantly between medical professions and even among specialties. This presents unique challenges in teaching UK medical students, where foundation trainees rotate frequently between various trusts and specialties. Additionally, with electronic patient records (EPRs) becoming increasingly ubiquitous, students must adapt to navigate multiple distinct digital systems. Wilesmith et al. also highlight the value of simulation in refining documentation skills, a point well supported in the literature 4. However, simulation has inherent limitations in replicating the real-world pressures of a fast-paced ward round, where time constraints and interpersonal dynamics heavily influence the quality and accuracy of documentation. I echo Wilesmith et al.'s call for further research into this often-overlooked area. In particular, studies exploring the real-world effectiveness and clinical application of different teaching methods would be of great value. As medical education continues to evolve, a more structured, evidence-based approach to teaching documentation could significantly enhance both trainee confidence and patient safety. Jordan Byrne: conceptualization, writing – original draft, writing – review and editing. The author declares no conflicts of interest. Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.