Robot doctor calls: AI assistant to handle bone fracture Check-Ins
NCT ID NCT07464171
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing an AI voice assistant named Dora that makes automated phone calls to patients who have had a bone fracture. The goal is to see if Dora can safely and accurately collect information about risk factors and medication side effects, compared to a regular call from a clinician. About 217 patients aged 50 and older will take part, along with their doctors. If successful, Dora could save time for healthcare staff.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Dora Care (AI voice assistant)
- What this could lead to
- If it works, this could free up clinicians' time by letting an AI handle routine phone assessments, making fracture care more efficient.
- What could go wrong
- This is a small feasibility study, not a large trial. The AI may not be as accurate as a human, and some patients might find it impersonal or difficult to use.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
-
Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
-
About 217 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
-
Feb 2026
An estimate. Start dates often move.
- Expected to finish
-
Dec 2027
An estimate. End dates often move.
- Lead sponsor
-
A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
-
50 years and older
- Sex
-
Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * 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. Exclusion Criteria: * 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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Ai (artificial intelligence) are added.
Genom att skicka in godkänner du våra Användarvillkor
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
-
The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
-
A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can WhatsApp alerts tame blood sugar swings in kids with type 1 diabetes?
- AI second pair of eyes could speed up finding hidden bleeding
- Pregnancy hormone hCG may hold clues to bone and gland health
- Your health Data's hidden patterns: can they predict what happens next?
- Simple scan mistakes may skew osteoporosis diagnoses
- Can a Phone-Based platform keep people in opioid treatment?