Evidence map›Paper›PMID 35105593›Full record

ArticleBMJ open2022

Teleophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease (HERMES): a Cluster Randomised Superiority Trial with a linked Diagnostic Accuracy Study-HERMES study report 1-study protocol.

Ji Eun Diana Han, Xiaoxuan Liu, Catey Bunce, Abdel Douiri, Luke Vale, Ann Blandford, John Lawrenson, Rima Hussain, Gabriela Grimaldi, Annastazia E Learoyd and 9 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Selection and reporting of usual care comparators when designing primary care trials of complex health interventions: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  7. Artificial intelligence in ophthalmology clinical trials: a narrative review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  8. Article
  9. Review
  10. Telemedicine in ophthalmology.Wiener medizinische Wochenschrift (1946) · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. The effectiveness of interventions for optometric referrals into the hospital eye service: A review.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2023
    Review
  17. Review
  18. Article
  19. Article
  20. Sex Differences in Acute Coronary Syndromes: A Global Perspective.Journal of cardiovascular development and disease · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Ji Eun Diana HanUniversity of Birmingham Institute of Inflammation and Ageing, Birmingham, UK.ORCID 0000-0002-7435-0658
Xiaoxuan LiuUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID 0000-0002-1286-0038
Catey BunceRM CTU, Royal Marsden Hospital NHS Trust, London, UK.ORCID 0000-0002-0935-3713
Abdel DouiriSchool of Population Health and Environmental Sciences, King's College London, London, UK.
Luke ValeHealth Economics Group, Institute of Health and Society, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
Ann BlandfordUCLIC, University College London, London, UK.ORCID 0000-0002-3198-7122
John LawrensonDvision of Optometry and Visual Science, City University of London, London, UK.
Rima HussainNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, London, UK.
Gabriela GrimaldiNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, London, UK.
Annastazia E LearoydSchool of Population Health and Environmental Sciences, King's College London, London, UK.ORCID 0000-0001-6964-9041
Ashleigh KernohanPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
Christiana DinahOphthalmology, London North West Healthcare NHS Trust, Harrow, UK.
Evangelos MinosNorth West Anglia NHS Foundation Trust, Peterborough, Cambridgeshire, UK.
Dawn SimNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, London, UK.
Tariq AslamUniversity of Manchester, Manchester, UK.
Praveen J PatelNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, London, UK.
Alastair K DennistonUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Pearse A KeaneNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, London, UK.
Konstantinos BalaskasNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, London, UK k.balaskas@nhs.net.

Funding

Medical Research Council MC_PC_19005Medical Research Council MR/T019050/1
6 · The paper itself

Abstract

introductionRecent years have witnessed an upsurge of demand in eye care services in the UK. With a large proportion of patients referred to Hospital Eye Services (HES) for diagnostics and disease management, the referral process results in unnecessary referrals from erroneous diagnoses and delays in access to appropriate treatment. A potential solution is a teleophthalmology digital referral pathway linking community optometry and HES. METHODS AND ANALYSIS: The HERMES study (Teleophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease: a cluster randomised superiority trial with a linked diagnostic accuracy study) is a cluster randomised clinical trial for evaluating the effectiveness of a teleophthalmology referral pathway between community optometry and HES for retinal diseases. Nested within HERMES is a diagnostic accuracy study, which assesses the accuracy of an artificial intelligence (AI) decision support system (DSS) for automated diagnosis and referral recommendation. A postimplementation, observational substudy, a within-trial economic evaluation and discrete choice experiment will assess the feasibility of implementation of both digital technologies within a real-life setting. Patients with a suspicion of retinal disease, undergoing eye examination and optical coherence tomography (OCT) scans, will be recruited across 24 optometry practices in the UK. Optometry practices will be randomised to standard care or teleophthalmology. The primary outcome is the proportion of false-positive referrals (unnecessary HES visits) in the current referral pathway compared with the teleophthalmology referral pathway. OCT scans will be interpreted by the AI DSS, which provides a diagnosis and referral decision and the primary outcome for the AI diagnostic study is diagnostic accuracy of the referral decision made by the Moorfields-DeepMind AI system. Secondary outcomes relate to inappropriate referral rate, cost-effectiveness analyses and human-computer interaction (HCI) analyses. ETHICS AND DISSEMINATION: Ethical approval was obtained from the London-Bromley Research Ethics Committee (REC 20/LO/1299). Findings will be reported through academic journals in ophthalmology, health services research and HCI. TRIAL REGISTRATION NUMBER: ISRCTN18106677 (protocol V.1.1).

Indexed as

OphthalmologyOptometryRetinal DiseasesTelemedicineArtificial IntelligenceEquivalence Trials as TopicHumansRandomized Controlled Trials as TopicReferral and Consultationhealth economicshealth services administration & managementmedical retinaophthalmologytelemedicine

Identifiers

PMID35105593
PMCPMC8808461

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Registered trials

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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.