AI (Artificial Intelligence)NCT07464171
Evaluation of Dora Care for Supporting Fracture Liaison Services (FLS)
A study testing Dora call in people with AI (Artificial Intelligence) and Osteoporosis, run by Ufonia.
Trial summary
What is the study about? This study is testing "Dora", an AI-powered assistant that can make phone calls to patients, for use in the Fracture Liaison Service (FLS). The FLS is a clinic that helps prevent more bone fractures after an initial "fragility fracture" (a break that happens easily, usually due to… Read more about this study
- Who is it for?
- Ages 50 years and older
- Conditions the study is for
- AI (Artificial Intelligence), Osteoporosis, Outpatient
- What is being tested?
- Dora call
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 217 participants
- Where
- No sites listed yet
- Study dates
- Feb 2026to Dec 2027
- Phase
- Interventional
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Access to and ability to use a telephone for automated conversations as part of a routine, FLS phone pathway. This includes patients who are:
- Adults aged ≥50 years.
- Presenting with a new fragility fracture requiring FLS assessment.
- Able to provide informed consent.
- English speaking.
- Reside in the UK.
Who cannot join
- Severe cognitive impairment precluding meaningful telephone interaction or informed consent.
- Patients already established on long-term osteoporosis treatment.
- Terminal illness with a life expectancy <12 months.
- Current participation in another clinical trial altering standard of care thus altering the care schedule.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: A Prospective, Mixed-Methods Feasibility Study to Evaluate the Agreement, Safety, and Acceptability of 'Dora Care', an Automated AI Voice Assistant, for Supporting Clinical Pathways in a Fracture Liaison Service.
What is the study about? This study is testing "Dora", an AI-powered assistant that can make phone calls to patients, for use in the Fracture Liaison Service (FLS). The FLS is a clinic that helps prevent more bone fractures after an initial "fragility fracture" (a break that happens easily, usually due to osteoporosis).
Why is this being done? FLS clinicians often have to spend a lot of time on routine phone calls for assessments and follow-ups. If Dora can safely and accurately collect patient information, it might save time for staff and still give patients a good experience.
Read more
What will happen to patients in the study? Invitation and consent - Patients with a new fragility fracture who are eligible will be invited to take part after informed consent.
Dora call - Patients will receive an automated phone call from Dora, at the start of their FLS pathway and at follow-up.
At intake, Dora will ask about risk factors for bone problems (e.g., smoking, alcohol use, family fracture history).
At follow-up, Dora will ask about medication use, side effects, falls, or new fractures.
Clinician call - Soon after, patients will have their usual phone appointment with an FLS clinician, who asks similar questions.
Surveys/interviews - Patients will be asked to complete a short questionnaire and take part in an optional interview to say how they felt about talking to Dora.
What about clinicians? Clinicians involved in the FLS pathway will be asked to complete a short survey and to take part in an optional interview to understand how useful Dora's reports might be in their work.
Who can take part? Patients - Age 50+, English-speaking, with a new fragility fracture, and able to use the phone.
Clinicians - Those working in FLS or similar bone health services. How long will it take? Each patient might be involved for up to about 7 months. The whole study will take about a year.
Read the detailed description
Fragility fractures are common and are associated with substantial morbidity, mortality, and healthcare costs. Fracture Liaison Services (FLS) are internationally recognised as an effective model for secondary fracture prevention; however, FLS pathways can be resource-intensive and place a significant burden on clinical staff, particularly for standardised intake risk assessment and longer-term follow-up conversations related to medication adherence, side effects, and interval clinical events.
Dora Care is a cloud-based, standalone software product that delivers automated natural-language telephone calls to patients using an AI voice assistant. Dora Care can be configured to conduct structured clinical or administrative conversations where a validated protocol exists and returns a structured summary of the interaction for healthcare teams to review. Dora Care is not intended for clinical diagnosis and, in this study, is used as an adjunct to standard Fracture Liaison Service care rather than a replacement for clinician review.
This prospective, mixed-methods feasibility study evaluates whether Dora Care can support elements of the FLS pathway by assessing agreement between patient-reported information collected by Dora Care and information collected by an FLS clinician during routine care, evaluating safety when Dora Care is deployed in this context, and exploring acceptability and usability for both patients and clinicians.
Study design and setting This is a prospective, single-arm feasibility study conducted in NHS hospital-based Fracture Liaison Services, initially at University College London Hospitals NHS Foundation Trust, with additional potential recruitment sites. All patient participants receive a Dora Care telephone call in addition to their routine FLS telephone consultation.
The study includes two linked components:
Patient pathway component (live, within routine care): Patients receive an automated Dora Care call followed by their standard clinician-led FLS telephone consultation. Patient-reported questionnaires are collected after Dora Care interactions, and a subset of participants is invited to take part in qualitative interviews.
Clinician usability component (simulated): Clinicians review anonymised, mock Dora Care outputs derived from the study and provide feedback via questionnaires and interviews. This component is conducted separately from live patient care to broaden clinician participation and minimise patient safety risk.
Interventions and procedures Participants may contribute data at one or more routine FLS timepoints, including an intake assessment and follow-up assessments during ongoing management.
Prior to the standard clinician consultation, Dora Care conducts an automated telephone call to collect patient-reported information relevant to the FLS pathway. Following the Dora Care call, patients proceed with their routine clinician-led FLS consultation, during which clinicians independently collect and document clinical information as part of standard care. Clinicians are aware that a Dora Care call has taken place but are not provided with Dora Care outputs for the purposes of agreement evaluation.
Patients are invited to complete usability and satisfaction questionnaires following Dora Care interactions, and a subset of patients participates in semi-structured qualitative interviews to explore experience and acceptability. Clinicians participating in the usability component complete questionnaires and interviews based on simulated review of Dora Care outputs.
Data collection and ethics Data are collected from Dora Care call outputs, routine clinician documentation within electronic health records, and participant-completed questionnaires and interviews. Data are pseudonymised and handled in accordance with the Declaration of Helsinki, Good Clinical Practice, ISO 14155:2020, the UK Data Protection Act 2018, and UK GDPR.
The study is conducted as an adjunct to standard care, and participants retain access to usual clinical support throughout. Ethical approval and relevant NHS governance approvals are obtained prior to study initiation, and device-related adverse events and device deficiencies are monitored and reported in accordance with regulatory requirements.
- Conditions
- AI (Artificial Intelligence), Osteoporosis, Outpatient, Telemedicine, Automation, Risk Assesment
- Being tested
- Dora call
- Keywords
- AI (Artificial Intelligence), Fracture Liason Services, Conversational AI, Triage, Rheumatology, Telephone Consultation, Telemedicine, Bone Health, Voice AI, Medical Device
- Medical subject headings
- Osteoporosis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Dora callDevice
Patient participant will recieve a Dora call in addition to their standard clinical care telephone appointment
| Study group | Role | What they receive |
|---|---|---|
| Patient population receiving Dora call | Experimental | Patient participant will receive a Dora call in addition to their standard care clinical appointment call Receives: Device: Dora call |
What is being measured
The primary outcome is the main question the study is designed to answer.
Agreement (concordance) between Dora Care and clinician-collected data (Intake and Follow-up)
Concordance for predefined variables collected by Dora Care versus those routinely collected by an FLS clinician during baseline care consultation (slot-level agreement; categorical variables via % agreement and Cohen's kappa; continuous variables via ICC and/or Bland-Altman).
Measured: Intake assessment and Follow-up assessment (planned at 16 weeks)
Secondary outcomes (9)
Medication adherence rate
Medication adherence rate
Measured: 16 week follow up where available
Incidence of patient-reported medication side effects
Incidence and type of side effects from anti-osteoporosis medications.
Measured: 16 weeks and 24 weeks
Incidence of new fragility fractures
The incidence of reports of new fragility fractures will be tabulated and presented as frequencies and percentages.
Measured: 16 weeks and 24 weeks
Incidence of patient-reported falls
Incidence of falls reported by patients at follow-up, presented as frequencies and percentages.
Measured: 16 weeks and 24 weeks
Patient satisfaction scores with Dora Care (adapted Client Satisfaction Questionnaire)
Patient satisfaction with the Dora Care AI assistant measured using three questions adapted from the Client Satisfaction Questionnaire (CSQ-8) on a 4-point Likert scale. Scores reported as means, standard deviations, and medians.
Measured: Baseline (intake assessment), 16 weeks, and 24 weeks
Patient usability scores (System Usability Scale)
10-item System Usability Scale (SUS) on a 5-point Likert scale, reported as means, standard deviations, medians, and ranges.
Measured: Baseline (intake assessment), 16 weeks and 24 weeks
Qualitative themes from patient interviews on experience and acceptability of Dora Care
Thematic analysis of semi-structured interviews identifying patterns related to usability, acceptability, and perceived impact of Dora Care on the FLS patient journey.
Measured: Through study completion, an average of 12 months
Clinician usability scores (System Usability Scale)
10-item System Usability Scale (SUS) on a 5-point Likert scale, reported as means, standard deviations, medians, and ranges.
Measured: Through study completion, an average of 12 months
Clinician experience themes (qualitative interviews)
Thematic analysis of semi-structured interviews with FLS clinicians to identify patterns related to usability, acceptability, and perceived impact of Dora Care outputs on clinical workflow and decision-making.
Measured: Through study completion, an average of 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Mar 2026
- Study startFeb 2026 (estimated)
- Primary completionAug 2027 (estimated)
- Study completionDec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for AI (Artificial Intelligence)Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 217 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Ufonia
- Sponsor type
- Industry (pharma, biotech, devices)
- Collaborators
- University College London Hospitals, University of York
- Responsible party
- Sponsor
- Investigators
- Aisling Higham, FRCOphth, MSc, MBBS, Study director, Ufonia
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07464171
- Sponsor's protocol ID
- DORA-FLS-CIP/v1.5
- Other IDs
- 10102111, 362559
- Status last verified
- Mar 2026
- First submitted
- 29 Jan 2026
- Last updated
- 11 Mar 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided