The Electronic Health Record in Ophthalmology: Usability Evaluation Tools for Health Care Professionals.

INTRODUCTION The adoption of the electronic health record (EHR) has grown rapidly in ophthalmology. However, despite its potential advantages, its implementation has often led to dissatisfaction amongst health care professionals (HCP). This can be addressed using a user centred design (UCD) which is based on the philosophy that 'the final product should suit the users, rather than making the users suit the product'. There is often no agreed best practice on the role of HCPs in the UCD process. In this paper, we describe practical qualitative methodologies that can be used by HCPs in the design, implementation and evaluation of ophthalmology EHRs. METHODS A review of current qualitative usability methodologies was conducted by practising ophthalmologists who are also qualified health informaticians. RESULTS We identified several qualitative methodologies that could be used for EHR evaluation. These include: 1 Tools for user centred design: shadowing and autoethnography, semi-structured interviews and questionnaires 2 Tools for summative testing: card sort and reverse card sort, retrospective think aloud protocol, wireframing, screenshot testing and heat maps CONCLUSION: High-yield, low-fidelity tools can be used to engage HCPs with the process of ophthalmology EHR design, implementation and evaluation. These methods can be used by HCPs without the requirement for prior training in usability science, and by clinical centres without significant technical requirements

The role of extended reality technology in healthcare education: Towards a learner-centred approach.

The use of extended reality (XR) technologies is growing rapidly in a range of industries from gaming to aviation. However, how this technology should be implemented in healthcare education is not well-documented in the literature. Learner-driven implementation of educational technology has previously been shown to be more effective than a technology-driven approach. In this paper we conduct a narrative literature review of relevant papers to explore the role of XR technologies in learner-driven approaches to healthcare educatio. This paper aims to evaluate the position of XR technologies in learner-centred pedagogical models, determine what functions of XR technologies can improve learner-centred approaches in healthcare education, and explore whether XR technologies can improve learning outcomes in healthcare education. We conclude that XR technologies have unique attributes that can improve learning outcomes when compared to traditional learning methods, but there is currently a shortfall in learner-centred implementation of XR technologies in healthcare education, where these technologies have the capacity to cause a paradigm shift

Current Perspective on Retinal Migraine.

Retinal migraine was first formally described in 1882. Various terms such as "ocular migraine" and "ophthalmic migraine" have since been used interchangeably in the literature. The lack of a consistent consensus-based definition has led to controversy and potential confusion for clinicians and patients. Retinal migraine as defined by the International Classification of Headache Disorders (ICHD) has been found to be rare. The latest ICHD defined retinal migraine as 'repeated attacks of monocular visual disturbance, including scintillation, scotoma or blindness, associated with migraine headache', which are fully reversible. Retinal migraine should be considered a diagnosis of exclusion, which requires other causes of transient monocular visual loss to be excluded. The aim of this narrative review is to summarize the literature on retinal migraine, including: epidemiology and risk factors; proposed aetiology; clinical presentation; and management strategies. It is potentially a misnomer as its proposed aetiology is different from our current understanding of the mechanism of migraine

Diagnosis of <i>Acanthamoeba</i> Keratitis: Past, Present and Future

Acanthamoeba keratitis (AK) is a painful and sight-threatening parasitic corneal infection. In recent years, the incidence of AK has increased. Timely and accurate diagnosis is crucial during the management of AK, as delayed diagnosis often results in poor clinical outcomes. Currently, AK diagnosis is primarily achieved through a combination of clinical suspicion, microbiological investigations and corneal imaging. Historically, corneal scraping for microbiological culture has been considered to be the gold standard. Despite its technical ease, accessibility and cost-effectiveness, the long diagnostic turnaround time and variably low sensitivity of microbiological culture limit its use as a sole diagnostic test for AK in clinical practice. In this review, we aim to provide a comprehensive overview of the diagnostic modalities that are currently used to diagnose AK, including microscopy with staining, culture, corneal biopsy, in vivo confocal microscopy, polymerase chain reaction and anterior segment optical coherence tomography. We also highlight emerging techniques, such as next-generation sequencing and artificial intelligence-assisted models, which have the potential to transform the diagnostic landscape of AK

Real-World Data on Faricimab Switching in Treatment-Refractory Neovascular Age-Related Macular Degeneration

Faricimab is a newly approved bispecific antibody for neovascular age-related macular degeneration (nAMD). Our study aims to evaluate clinical outcomes of faricimab switching in patients with treatment-refractory nAMD; determine parameters that predict these outcomes; and obtain patient subjective experience on this new injection. This is a retrospective case review with clinical and imaging data from a tertiary referral unit (Birmingham and Midland Eye Centre, UK), involving patients who were switched to faricimab between 1 January and 1 December 2023. In all, 63 eyes (54 patients) with a mean age of 79.2 ± 7.8 and mean of 41.5 ± 22.4 previous anti-VEGF injections were analysed. With a mean of 4.81 ± 1.16 faricimab injections over 6.98 ± 1.75 months, post-treatment visual acuity was logMAR 0.49 ± 0.36 and central macular thickness (CMT) was 320.3 ± 97.9 µm. After first dose, 39.1% achieved complete dryness and 89.1% had anatomical improvement. Presence of subretinal fluid was a predictor of better functional outcomes (p = 0.001, β = −0.182), while initial CMT predicted better anatomical outcomes (p = 0.001, β = 0.688). Compared to their experiences of previous anti-VEGF injections, 89% of patients reported no more discomfort and 87.0% experienced no more floaters, photopsia, or bubbles post-injection. Faricimab switching has anatomical efficacy but limited functional improvement in treatment-refractory AMD. Patient experiences of faricimab compared to previous injections were overall positive

Artificial intelligence chatbots as sources of patient education material for cataract surgery: ChatGPT-4 versus Google Bard.

Peer reviewed: TrueAcknowledgements: DSJT acknowledges support provided by the Medical Research Council/Fight for Sight Clinical Research Fellowship (MR/T001674/1) and the Fight for Sight/John Lee, Royal College of Ophthalmologists Primer Fellowship (24CO4).Publication status: PublishedOBJECTIVE: To conduct a head-to-head comparative analysis of cataract surgery patient education material generated by Chat Generative Pre-trained Transformer (ChatGPT-4) and Google Bard. METHODS AND ANALYSIS: 98 frequently asked questions on cataract surgery in English were taken in November 2023 from 5 trustworthy online patient information resources. 59 of these were curated (20 augmented for clarity and 39 duplicates excluded) and categorised into 3 domains: condition (n=15), preparation for surgery (n=21) and recovery after surgery (n=23). They were formulated into input prompts with 'prompt engineering'. Using the Patient Education Materials Assessment Tool-Printable (PEMAT-P) Auto-Scoring Form, four ophthalmologists independently graded ChatGPT-4 and Google Bard responses. The readability of responses was evaluated using a Flesch-Kincaid calculator. Responses were also subjectively examined for any inaccurate or harmful information. RESULTS: Google Bard had a higher mean overall Flesch-Kincaid Level (8.02) compared with ChatGPT-4 (5.75) (p0.10). None of the generated material contained dangerous information. CONCLUSION: In comparison to Google Bard, ChatGPT-4 fared better overall, scoring higher on the PEMAT-P understandability scale and exhibiting more faithfulness to the prompt engineering instruction. Since input prompts might vary from real-world patient searches, follow-up studies with patient participation are required