ClinicalTrials.gg
CompletedNCT05213390Updated Jan 13, 2025Results posted

Autonomous Telephone Follow-up After Cataract Surgery

An interventional study of Dora in Cataract and After Cataract, sponsored by University of Plymouth. Completed at 2 sites in United Kingdom. Per ClinicalTrials.gov, last updated 2025-01-13.

Sponsored by University of Plymouth · Not applicable, Interventional, and Screening

Phase
Not applicable
Study type
Interventional
Enrollment
225
Allocation
Not applicable
Sex
All
01

Study summary

This project will apply AI technology to meet the gap between increasing demand and limited capacity of high- volume healthcare services. The project will develop evidence that will support the safe deployment of Ufonia's automated telemedicine platform to deliver calls to cataract surgery patients at two large NHS hospital trusts.

The proposed study will implement DORA in addition to the current standard of care for a cohort of patients at Imperial College Healthcare Trust and Oxford University Hospitals NHS Foundation Trust. The study will evaluate the agreement of DORA's decision with an expert clinician. In addition it will test the acceptability of the solution for patients and clinicians; the sensitivity and specificity of the system in deciding if a patient requires additional review; and the health economic benefits of the solution to patients (reduced time and travel) and the local healthcare system. If successful, a proposal will be developed to roll the solution out to all patients at each site in anticipation of an application to a late phase award for wider NHS deployment.

Read the detailed description

Background

Due to an ageing population and increased expectation, the demand for many services is exceeding the capacity of the clinical workforce. As a result, staff are facing a crisis of burnout from being pressured to deliver high- volume workloads, driving increasing costs for providers. Artificial intelligence, in the form of conversational agents, presents a possible opportunity to enable efficiencies in the delivery of care.

Aims and Objectives

This study aims to evaluate the effectiveness, usability and acceptability of DORA - an AI-enabled autonomous telemedicine call - for detection of post-operative cataract surgery patients who require further assessment. The study's objectives are: to establish efficacy of DORA's decision making in comparison to an expert human clinician; baseline sensitivity and specificity for detection of true complications; evaluation of patient acceptability; evidence for cost-effectiveness; and to capture data that may support further studies.

Project plan and methods used

Based on implementation science, the interdisciplinary study will be a mixed-methods phase one pilot establishing inter-observer reliability; as well as usability and acceptability.

Timelines for delivery

The study will last eighteen months: seven months of evaluation and intervention refinement, nine months of implementation and follow-up, and two months of post-evaluation analysis and write-up.

Anticipated Impact and Dissemination

The project's key contributions will be evidence on artificial intelligence voice conversational agent effectiveness, and associated usability and acceptability. Results will be disseminated in peer-reviewed journals and at international medical sciences and engineering conferences.

02

Conditions studied

  • Cataract
  • After Cataract
03

In context

Cataract

1,629 studies on the registry are indexed under Cataract; 235 are open to participants now.

This study's enrollment of 225 is above the median of 79 across 1,092 interventional studies indexed under Cataract.

Browse Cataract studies →

Lead sponsor

University of Plymouth is the lead sponsor of 49 studies on the registry; 16 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Willing and able to provide ;
  • Aged 18 years or older;
  • On the waiting list for routine cataract surgery. Cataract surgery as part of a combined procedure with other ocular surgery will not be included;
  • No history or presence of significant ocular comorbidities that would be expected to alter the risks of cataract surgery or normal post-operative follow-up schedule. Note that significant ocular comorbidities do not include stable, chronic, or inactive ocular conditions such as amblyopia, drop-controlled stable glaucoma or ocular hypertension, previous squint surgery, inactive macular pathology, previous refractive surgery, or previous vitreoretinal surgery with stable retina.

Exclusion criteria

Exclusion Criteria:

  • Individuals with any condition that could preclude the ability to comply with the study or follow-up procedures;
  • Presence of ocular or systemic uncontrolled disease (unless deemed not by the Investigator and Sponsor);
  • Involved in current research related to this technology or been involved in related research to this technology prior to recruitment;
  • Cognitive difficulties, hearing impairment or non-English speakers;
  • History of current or severe, unstable or uncontrolled systemic disease (unless deemed not clinically significant by the Investigator and Sponsor).
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Clinically significant

Judged by the study doctor to matter for your health or for the study. It is a doctor’s decision, so ask the study team if you are unsure whether something counts.

05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
225 participants (actual)

Study arms

  • Experimental
    Dora follow-up phone call

    DORA uses a variety of AI technologies to deliver the patient follow-up call, including: speech transcription, natural language understanding, a machine-learning conversation model to enable contextual conversations, and speech generation. Together, these technologies cover the input, processing and analysis, and output needed to maintain a natural conversation. DORA is configured to deliver calls through a telephone connection as a real-time, stand-alone system: the operator inputs individual patient details to initiate the call and completes a summary in the electronic health record (EHR) afterwards. The entire conversation will be supervised by a clinician. This clinician will be able to interrupt the call at any point if the system fails, the patient struggles to interact with it, or DORA does not collect sufficient information from the patient. The clinician will record a clinical assessment which will be compared to the DORA assessment.

    Other: Dora

Interventions

  • OtherDora

    DORA uses a variety of AI technologies to deliver the patient follow-up call, including: speech transcription, natural language understanding, a machine-learning conversation model to enable contextual conversations, and speech generation. Together, these technologies cover the input, processing and analysis, and output needed to maintain a natural conversation. DORA is configured to deliver calls through a telephone connection as a real-time, stand-alone system: the operator inputs individual patient details to initiate the call and completes a summary in the electronic health record (EHR) afterwards.

06

What researchers measure

Primary outcomes

  1. Agreement

    Inter-rater reliability: the degree of agreement between DORA and the clinician on their assessments of the individual symptoms and the management plan; Whether or not the clinician had to interrupt the call to ask clarifying questions

    Time frame: Inter-rater reliability was assessed based on data collected during Dora calls, which lasted an average of 7.5 minutes

Secondary outcomes

  1. Clinical Complications Identified or Missed by DORA System

    Clinical data was collected from patients' electronic health record (EHR) up to 90 days postoperatively to capture numbers of participants 'recommended discharge' by Dora R1 with subsequent unexpected management change

    Time frame: Up to 90 days post surgery

  2. Calls Completed Without Intervention

    Number of autonomous calls that were completed without needing any intervention from the supervising clinician; Clinician-reported reasons for asking clarifying questions

    Time frame: Dora calls lasted an average of 7.5 minutes

  3. System Usability

    Measured using the System Usability Scale (minimum of 0, maximum of 100, higher scores indicate better usability)

    Time frame: Usability assessments were completed up to 6 months after the Dora call

  4. Usability of Telehealth System Implementation

    Measured using the Telehealth Usability Questionnaire (minimum score of 1, maximum score of 5, averaged across 19 items; higher scores indicate better usability)

    Time frame: Usability was assessed up to 6 months after the call

  5. Qualitative Patient Perspectives of Usability

    Qualitative feedback from semi-structured interviews

    Time frame: Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call

  6. Acceptability of AI Follow-up Phone Call

    Qualitative feedback from semi-structured interviews

    Time frame: Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call

  7. Satisfaction With AI Follow-up Phone Call

    Qualitative feedback from semi-structured interviews

    Time frame: Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call

  8. Appropriateness of AI for Follow-up Assessment

    Qualitative feedback from semi-structured interviews

    Time frame: Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call

  9. Cost Impact

    A cost analysis compared the direct costs of face-to-face (F2F) follow-up at Imperial with Dora R1 (in Oxford, patients do not have routine postoperative follow-up). Assumptions included annual costs for various healthcare professionals and the duration of F2F follow-up appointments (estimated at 30 min).

    Time frame: Conducted 6 months after baseline

  10. Subsequent Unplanned Follow-up

    Clinical data was collected from patients' electronic health record (EHR) up to 90 days postoperatively to capture numbers of participants 'recommended discharge' by Dora R1 with subsequent unplanned review.

    Time frame: Up to 90 days post surgery

07

Results

Posted Jan 13, 2025

Participant flow

Participant flow — Overall Study
MilestoneDora Follow-up Phone Call
Started225
Completed202
Not completed23
Withdrew: Withdrawal by subject2
Withdrew: Lost to follow-up12
Withdrew: Protocol violation9

Outcome measures

PrimaryAgreement

Inter-rater reliability: the degree of agreement between DORA and the clinician on their assessments of the individual symptoms and the management plan; Whether or not the clinician had to interrupt the call to ask clarifying questions

Time frame:
Inter-rater reliability was assessed based on data collected during Dora calls, which lasted an average of 7.5 minutes
Reported as:
Count of participants · Participants
Agreement
ParticipantsDora Outcome DecisionSupervising Clinician Decision
Discharge117131
Review7864
SecondaryClinical Complications Identified or Missed by DORA System

Clinical data was collected from patients' electronic health record (EHR) up to 90 days postoperatively to capture numbers of participants 'recommended discharge' by Dora R1 with subsequent unexpected management change

Time frame:
Up to 90 days post surgery
Reported as:
Count of participants · Participants
Clinical Complications Identified or Missed by DORA System
ParticipantsUnexpected Management Change
Clinical Complications Identified or Missed by DORA System10
SecondaryCalls Completed Without Intervention

Number of autonomous calls that were completed without needing any intervention from the supervising clinician; Clinician-reported reasons for asking clarifying questions

Time frame:
Dora calls lasted an average of 7.5 minutes
Reported as:
Number · DORA follow-up calls
Calls Completed Without Intervention
DORA follow-up callsDora Follow-up Phone Call
Call completed autonomously195
Call incomplete7
SecondarySystem Usability

Measured using the System Usability Scale (minimum of 0, maximum of 100, higher scores indicate better usability)

Time frame:
Usability assessments were completed up to 6 months after the Dora call
Reported as:
Mean · units on a scale
System Usability
units on a scaleDora Follow-up Phone Call
System Usability77.76 ± 17.55
SecondaryUsability of Telehealth System Implementation

Measured using the Telehealth Usability Questionnaire (minimum score of 1, maximum score of 5, averaged across 19 items; higher scores indicate better usability)

Time frame:
Usability was assessed up to 6 months after the call
Reported as:
Mean · units on a scale
Usability of Telehealth System Implementation
units on a scaleDora Follow-up Phone Call
Usability of Telehealth System Implementation3.79 ± 0.89
SecondaryQualitative Patient Perspectives of Usability

Qualitative feedback from semi-structured interviews

Time frame:
Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call
Reported as:
Number · participants
Qualitative Patient Perspectives of Usability
participantsDora Follow-up Phone Call
Burden18
Opportunity costs12
Self-efficacy5
Intervention coherence17
SecondaryAcceptability of AI Follow-up Phone Call

Qualitative feedback from semi-structured interviews

Time frame:
Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call
Reported as:
Number · participants
Acceptability of AI Follow-up Phone Call
participantsDora Follow-up Phone Call
Affective attitude (anticipated)15
Affective attitude (experienced)20
Ethicality5
SecondarySatisfaction With AI Follow-up Phone Call

Qualitative feedback from semi-structured interviews

Time frame:
Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call
Reported as:
Number · participants
Satisfaction With AI Follow-up Phone Call
participantsDora Follow-up Phone Call
Willing15
Not willing1
Hesitant, but willing4
SecondaryAppropriateness of AI for Follow-up Assessment

Qualitative feedback from semi-structured interviews

Time frame:
Semi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora call
Reported as:
Number · participants
Appropriateness of AI for Follow-up Assessment
participantsDora Follow-up Phone Call
Perceived effectiveness (anticipated)4
Perceived effectiveness (experienced)19
Perceived effectiveness (long-term)19
SecondaryCost Impact

A cost analysis compared the direct costs of face-to-face (F2F) follow-up at Imperial with Dora R1 (in Oxford, patients do not have routine postoperative follow-up). Assumptions included annual costs for various healthcare professionals and the duration of F2F follow-up appointments (estimated at 30 min).

Time frame:
Conducted 6 months after baseline
Reported as:
Number · Great British Pounds
Cost Impact
Great British PoundsDora Follow-up Phone Call
Total staff cost (standard pathway)4555.16
Total staff cost (Dora pathway)1084.21
SecondarySubsequent Unplanned Follow-up

Clinical data was collected from patients' electronic health record (EHR) up to 90 days postoperatively to capture numbers of participants 'recommended discharge' by Dora R1 with subsequent unplanned review.

Time frame:
Up to 90 days post surgery
Reported as:
Count of participants · Participants
Subsequent Unplanned Follow-up
ParticipantsUnplanned Follow-up
Subsequent Unplanned Follow-up5

Adverse events

Collected over Up to 3 months post cataract surgery. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Dora Follow-up Phone Call0/202 (0%)0/202 (0%)4/202 (2%)
Most frequent other events
Most frequent other events
EventDora Follow-up Phone Call
Symptomatic patients with unexpected management changesEye disorders4/202

Baseline characteristics

Age, Continuous
Age, Continuous(years)Dora Follow-up Phone Call
Mean74 ± 8.96
Sex: Female, Male
Sex: Female, Male(Participants)Dora Follow-up Phone Call
Female116
Male86
Race/Ethnicity, Customized
Race/Ethnicity, Customized(Participants)Dora Follow-up Phone Call
Ethnicity — White160
Ethnicity — Asian12
Ethnicity — Black11
Ethnicity — Other17
First or second cataract surgery
First or second cataract surgery(Participants)Dora Follow-up Phone Call
First eye113
Second eye89
Income
Income(Participants)Dora Follow-up Phone Call
≤ £19,999/yr28
£20,000-29,999/yr24
£30,000-39,999/yr5
£40,000-49,999/yr5
£50,000-69,999/yr9
>£70,000/yr6
Undefined70
Education level
Education level(Participants)Dora Follow-up Phone Call
Lower Than Bachelor's Degree88
Bachelor's Degree or Higher43
08

Study locations

2 sites
  • Imperial College Healthcare NHS Trust
    London, United Kingdom
  • Oxford University Hospitals NHS Foundation Trust
    Oxford, United Kingdom
09

References and documents

Publications

  • Milne-Ives M, de Cock C, Lim E, Shehadeh MH, de Pennington N, Mole G, Normando E, Meinert E. The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review. J Med Internet Res. 2020 Oct 22;22(10):e20346. doi: 10.2196/20346. PubMed 33090118 ↗
  • de Pennington N, Mole G, Lim E, Milne-Ives M, Normando E, Xue K, Meinert E. Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal. JMIR Res Protoc. 2021 Jul 28;10(7):e27227. doi: 10.2196/27227. PubMed 34319248 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 13, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT05213390
Lead sponsor
University of Plymouth
Responsible party
Edward Meinert, PhD (Evaluation Lead, University of Plymouth) — Principal investigator
First posted
Jan 28, 2022
Start date
Sep 17, 2021
Primary completion
Jan 31, 2022
Completion
Mar 24, 2022
Results posted
Jan 13, 2025
Last update
Jan 13, 2025

Study contacts

Eduardo Normando, MD, PhD
study chair · Imperial College London

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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