ArticleEye (London, England)2023
User-acceptability of an automated telephone call for post-operative follow-up after uncomplicated cataract surgery.
Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Multilingual Voice AI for Postoperative Cataract Follow-Up in Turkish Speaking Patients in the United Kingdom: Patient and Public Involvement Focus Group Study.JMIR formative research · 2026Article
- A Review of Recent Developments in Artificial Intelligence and Big Data Technologies for Ophthalmology Referrals and Clinical Practice.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Evaluation of Routine Clinical Deployment of an Autonomous Artificial Intelligence Assistant for Cataract Follow-Up in the National Health Service.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Optimizing the Postcataract Patient Journey Using AI-Driven Teleconsultation: Prospective Case Study.JMIR formative research · 2025Article
- Application of mobile health (mHealth) in the field of eye care: A scoping review of interventions used by individuals and health services to communicate.AJO international · 2025Article
- Implementing immediate sequential bilateral cataract surgery at Buckinghamshire Healthcare NHS Trust.Eye (London, England) · 2024Article
- Accuracy and safety of an autonomous artificial intelligence clinical assistant conducting telemedicine follow-up assessment for cataract surgery.EClinicalMedicine · 2024Article
- Expert consensus on the management of patients undergoing cataract surgery: A Delphi study.European journal of ophthalmology · 2024Article
- Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol.BMJ open ophthalmology · 2024Article
- Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study.JMIR research protocols · 2023Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundInnovative technology is recommended to address the current capacity challenges facing the NHS. This study evaluates the patient acceptability of automated telephone follow-up after routine cataract surgery using Dora (Ufonia Limited, Oxford, United Kingdom), which to our knowledge is the first AI-powered clinical assistant to be used in the NHS. Dora has a natural-language, phone conversation with patients about their symptoms after cataract surgery.
methodsThis is a prospective mixed-methods cohort study that was conducted at Buckinghamshire Healthcare NHS Foundation Trust. All patients who were followed up using Dora were asked to give a Net Promoter Score (NPS), and 24 patients were randomly selected to complete the validated Telephone Usability Questionnaire (TUQ) as well as extended semi-structured interviews that underwent thematic analysis.
resultsA total of 170 autonomous calls were completed. The median NPS score was 9 out of 10. The TUQ (scored out of 5) showed high rates of acceptability, with an overall mean score of 4.0. Simplicity, time saving, and ease of use scored the highest with a median of 5, whilst 'speaking to Dora feels the same as speaking to a clinician' scored a median of 3. The main themes extracted from the qualitative data were 'I can see why you're doing it', 'It went quite well actually', 'I just trust human beings I suppose'.
conclusionWe found high levels of patient acceptability when using Dora across three acceptability measures. Dora provides a potential solution to reduce pressure on hospital capacity whilst also providing a convenient service for patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.