Publications by authors named "W E RICKETTS"
Background: The digitisation of healthcare records has generated vast amounts of unstructured data, presenting opportunities for improvements in disease diagnosis when clinical coding falls short, such as in the recording of patient symptoms. This study presents an approach using natural language processing to extract clinical concepts from free-text which are used to automatically form diagnostic criteria for lung cancer from unstructured secondary-care data.
Methods: Patients aged 40 and above who underwent a chest x-ray (CXR) between 2016 and 2022 were included.
Article Synopsis
- The study explores the implementation of a digital health intervention (DHI) designed for supporting self-management among long COVID patients, involving a patient app and a clinician dashboard.
- Using qualitative analysis and Normalisation Process Theory, researchers found that the DHI was adaptable to various healthcare settings, enhancing collaboration among healthcare professionals while acknowledging the necessity for in-person care.
- The findings suggest that DHIs can potentially transform traditional healthcare engagement patterns, emphasizing the importance of organizational context and individual experiences in successful implementation.
Background: Lung cancer is the third most common cancer in the UK and the leading cause of cancer mortality globally. NHS England guidance for optimum lung cancer care recommends management and treatment by a specialist team, with experts concentrated in one place, providing access to specialised diagnostic and treatment facilities. However, the complex and rapidly evolving diagnostic and treatment pathways for lung cancer, together with workforce limitations, make achieving this challenging.
View Article and Find Full Text PDFIntroduction: Cancer multi-disciplinary team (MDT) meetings are an important component of consultant workload, however previous literature has suggested trainees are not satisfied with their current curriculum in preparing for MDT working.
Methods: This educational pilot assessed whether multi-speciality simulated scenarios with pre-defined learning objectives, could prepare specialist registrars for interacting within an MDT. Participants completed pre- and post-questionnaires assessing a number of areas including: current experience of training, confidence presenting patients and whether the course would alter future practice.