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Autonomous Telephone Follow-up After Cataract Surgery

A Clinical Investigation of an Autonomous Phone Conversational Agent for Cataract Surgery Follow-up

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05213390
Enrollment
225
Registered
2022-01-28
Start date
2021-09-17
Completion date
2022-03-24
Last updated
2025-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

After Cataract, Cataract

Brief 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.

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.

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.

Sponsors

University of Oxford
CollaboratorOTHER
Imperial College London
CollaboratorOTHER
University of Plymouth
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE

Masking description

No masking is possible, because all participants receive the same intervention.

Intervention model description

The study will be a multi-centre, mixed-methods clinical investigation to develop evidence regarding the feasibility, acceptability and potential effectiveness of Dora.

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Willing and able to provide informed consent; * 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

* 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 clinically significant 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).

Design outcomes

Primary

MeasureTime frameDescription
AgreementInter-rater reliability was assessed based on data collected during Dora calls, which lasted an average of 7.5 minutesInter-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

Secondary

MeasureTime frameDescription
Calls Completed Without InterventionDora calls lasted an average of 7.5 minutesNumber of autonomous calls that were completed without needing any intervention from the supervising clinician; Clinician-reported reasons for asking clarifying questions
System UsabilityUsability assessments were completed up to 6 months after the Dora callMeasured using the System Usability Scale (minimum of 0, maximum of 100, higher scores indicate better usability)
Usability of Telehealth System ImplementationUsability was assessed up to 6 months after the callMeasured using the Telehealth Usability Questionnaire (minimum score of 1, maximum score of 5, averaged across 19 items; higher scores indicate better usability)
Qualitative Patient Perspectives of UsabilitySemi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora callQualitative feedback from semi-structured interviews
Clinical Complications Identified or Missed by DORA SystemUp to 90 days post surgeryClinical 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
Satisfaction With AI Follow-up Phone CallSemi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora callQualitative feedback from semi-structured interviews
Appropriateness of AI for Follow-up AssessmentSemi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora callQualitative feedback from semi-structured interviews
Cost ImpactConducted 6 months after baselineA 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).
Subsequent Unplanned Follow-upUp to 90 days post surgeryClinical 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.
Acceptability of AI Follow-up Phone CallSemi-structured interview call, lasting up to 30 minutes, conducted up to 6 months after the Dora callQualitative feedback from semi-structured interviews

Countries

United Kingdom

Participant flow

Participants by arm

ArmCount
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. 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. Dora: 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.
202
Total202

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyLost to Follow-up12
Overall StudyProtocol Violation9
Overall StudyWithdrawal by Subject2

Baseline characteristics

CharacteristicDora Follow-up Phone Call
Age, Continuous74 years
STANDARD_DEVIATION 8.96
Education level
Bachelor's Degree or Higher
43 Participants
Education level
Lower Than Bachelor's Degree
88 Participants
First or second cataract surgery
First eye
113 Participants
First or second cataract surgery
Second eye
89 Participants
Income
≤ £19,999/yr
28 Participants
Income
£20,000-29,999/yr
24 Participants
Income
£30,000-39,999/yr
5 Participants
Income
£40,000-49,999/yr
5 Participants
Income
£50,000-69,999/yr
9 Participants
Income
>£70,000/yr
6 Participants
Income
Undefined
70 Participants
Race/Ethnicity, Customized
Ethnicity
Asian
12 Participants
Race/Ethnicity, Customized
Ethnicity
Black
11 Participants
Race/Ethnicity, Customized
Ethnicity
Other
17 Participants
Race/Ethnicity, Customized
Ethnicity
White
160 Participants
Sex: Female, Male
Female
116 Participants
Sex: Female, Male
Male
86 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 202
other
Total, other adverse events
4 / 202
serious
Total, serious adverse events
0 / 202

Outcome results

Primary

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

Population: Calls to 7 of the 202 were incomplete.

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Dora Outcome DecisionAgreementDischarge117 Participants
Dora Outcome DecisionAgreementReview78 Participants
Supervising Clinician DecisionAgreementDischarge131 Participants
Supervising Clinician DecisionAgreementReview64 Participants
Secondary

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

Population: Participants invited for semi-structured interviews - categories reflect major components of the Theoretical Framework of Acceptability and the number of participants who provided feedback that was coded into those categories.

ArmMeasureGroupValue (NUMBER)
Dora Outcome DecisionAcceptability of AI Follow-up Phone CallAffective attitude (anticipated)15 participants
Dora Outcome DecisionAcceptability of AI Follow-up Phone CallAffective attitude (experienced)20 participants
Dora Outcome DecisionAcceptability of AI Follow-up Phone CallEthicality5 participants
Secondary

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

Population: Participants invited for semi-structured interviews - categories reflect major components of the Theoretical Framework of Acceptability and the number of participants who provided feedback that was coded into those categories.

ArmMeasureGroupValue (NUMBER)
Dora Outcome DecisionAppropriateness of AI for Follow-up AssessmentPerceived effectiveness (anticipated)4 participants
Dora Outcome DecisionAppropriateness of AI for Follow-up AssessmentPerceived effectiveness (experienced)19 participants
Dora Outcome DecisionAppropriateness of AI for Follow-up AssessmentPerceived effectiveness (long-term)19 participants
Secondary

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

ArmMeasureGroupValue (NUMBER)
Dora Outcome DecisionCalls Completed Without InterventionCall completed autonomously195 DORA follow-up calls
Dora Outcome DecisionCalls Completed Without InterventionCall incomplete7 DORA follow-up calls
Secondary

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

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Dora Outcome DecisionClinical Complications Identified or Missed by DORA System10 Participants
Secondary

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

Population: Patients on the Imperial post-cataract surgery pathway

ArmMeasureGroupValue (NUMBER)
Dora Outcome DecisionCost ImpactTotal staff cost (standard pathway)4555.16 Great British Pounds
Dora Outcome DecisionCost ImpactTotal staff cost (Dora pathway)1084.21 Great British Pounds
Secondary

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

Population: Participants invited for semi-structured interviews - categories reflect major components of the Theoretical Framework of Acceptability and the number of participants who provided feedback that was coded into those categories.

ArmMeasureGroupValue (NUMBER)
Dora Outcome DecisionQualitative Patient Perspectives of UsabilityBurden18 participants
Dora Outcome DecisionQualitative Patient Perspectives of UsabilityOpportunity costs12 participants
Dora Outcome DecisionQualitative Patient Perspectives of UsabilitySelf-efficacy5 participants
Dora Outcome DecisionQualitative Patient Perspectives of UsabilityIntervention coherence17 participants
Secondary

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

Population: Interviewed participants were asked if they would be willing to use Dora again; their responses were coded into the three categories below.

ArmMeasureGroupValue (NUMBER)
Dora Outcome DecisionSatisfaction With AI Follow-up Phone CallWilling15 participants
Dora Outcome DecisionSatisfaction With AI Follow-up Phone CallNot willing1 participants
Dora Outcome DecisionSatisfaction With AI Follow-up Phone CallHesitant, but willing4 participants
Secondary

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

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Dora Outcome DecisionSubsequent Unplanned Follow-up5 Participants
Secondary

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

Population: Not all participants completed the usability questionnaire

ArmMeasureValue (MEAN)Dispersion
Dora Outcome DecisionSystem Usability77.76 units on a scaleStandard Deviation 17.55
Secondary

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

Population: Not all participants completed the usability questionnaire

ArmMeasureValue (MEAN)Dispersion
Dora Outcome DecisionUsability of Telehealth System Implementation3.79 units on a scaleStandard Deviation 0.89

Source: ClinicalTrials.gov · Data processed: Feb 7, 2026