This session explores the accuracy of the information patients read in their 1177 Journal and how it impacts both patients and healthcare professionals. 1177 Journal provides access to structured and unstructured health data, which may at times be incorrect, incomplete, or ambiguous. The talk examines how health record errors influence patient safety, clinical workflow, and patient–clinician communication. It highlights the administrative and work-environment pressures that shape documentation practices. The session concludes by examining why inaccuracies occur even with good intentions, and how emerging AI technologies may support improvement.

This is the second of a three-parts series. The first part, 'Part I. 14 Years of 1177 Journal — what do people think?' introduces patients' and healthcare professionals' experience with 1177 Journal. The final session after it titled, 'Part III. What is the role of generative in 1177 Journal?' will address how AI may help, or complicate, efforts to improve clinical documentation.