Homes for the AgedIntel@Med-PocNCT04679181
Acceptability Assessment of an "Organization of Care Integrating Artificial Intelligence and a Solution of Telemedicine" on Care of the Nursing Home Residents Located in a Medical Desert: Pilot Study INTEL@MED-POC
A study testing Telemedecine in people with Homes for the Aged, run by University Hospital, Limoges at 6 sites in France.
Trial summary
While depend elderly people needs are important in Nursing Home, the medical resources are weak from both inside and outside residences located in a medical desert. The goal of this project is to measure the acceptability of Artificial Intelligence and Telemedicine in Nursing Home located in medical desert for… Read more about this study
- Who is it for?
- Ages 65 years and older
- Conditions the study is for
- Homes for the Aged
- What is being tested?
- Telemedecine
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 137 participants
- Where
- 6 sitesFrance
- Study dates
- 15 Dec 2020to 25 Mar 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
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 65 years and older
- All sexes
- No healthy volunteers
- Older adult
Who may be able to join
- Patient older than 65 years old.
- Patient living in Nursing Home located in medical desert.
- Patient presenting symptoms involved medical doctor call.
- Patient or legal representative having signed consent form
- Patient covered by social security
Who cannot join
- End of life patient.
- Chronic aphasic patient.
Trial locations and contacts
6 sites in 1 country.
6 sites in 1 country
France6 sites
EHPAD Le Bois Joli
Auzances, 23700
EHPAD Le Chant des Rivières
Chambon-sur-Voueize, 23170
EHPAD La Porte d'Aquitaine
La Roche-Chalais, 24490
Ehpad Le Chavanon
Merlines, 19340
EHPAD Ernest Coulaud
Peyrelevade, 19290
EHPAD J et M Colaud
Saint-Privat, 19220
About this study
While depend elderly people needs are important in Nursing Home, the medical resources are weak from both inside and outside residences located in a medical desert. The goal of this project is to measure the acceptability of Artificial Intelligence and Telemedicine in Nursing Home located in medical desert for patients, nurses, and medical doctor
Read the detailed description
The ageing of the population comes along with the problematic of chronic pathologies and dependence, with sometimes serious consequences resulting in an admission in Nursing Home. While the low require a medical doctor in each Nursing Home, one third of the Nursing Home does not have. Some Nursing Homes can be in a tricky situation with no medical doctor coordinator and the difficulty of access to a medical doctor who covered a wide territory. In this context, the emergence of Artificial Intelligence coupled with Telemedicine is a new opportunity to find solution in healthcare organization and to develop advanced geriatric medical practice in medical desert territory. The goal of this study is to quantify and characterize the acceptability of Artificial Intelligence and Telemedicine in Nursing Home located in medical desert for patients, nurses, and medical doctor.
All the patients were examined by a nurse. The symptoms filled by the nurse in the Artificial Intelligence/Telemedicine device are sent and then analyzed by a distant medical doctor to purpose a care. The nurse also solicited the attending medical doctor as usual care.
The recommendations of the both medical doctors could be (i) Vital emergency, (ii) non-vital emergency necessitate medication or hospitalization, and (iii) non-emergency with medical appointment.
- Conditions
- Homes for the Aged
- Being tested
- Telemedecine
- Keywords
- aged, telemedicine, artificial intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
TelemedecineOther
telemedical consultation
| Study group | Role | What they receive |
|---|---|---|
| Active arm | Experimental | use of telemedicine Receives: Other: Telemedecine |
What is being measured
The primary outcome is the main question the study is designed to answer.
Acceptability for nurse to use Artificial Intelligence / Telemedecine device analyzed by distant medical doctor
Proportion of the Artificial Intelligence / Telemedecine utilization by the nurse vs medical doctor as usual care
Measured: 13 months
Number of non-programmed hospitalization for both distant medical doctor and usual care recommendations
Comparison of non programmed hospitalization in both distant medical doctor analysis and medical doctor as usual care
Measured: 13 months
delay to obtain the medical expertise
Comparison of time to obtain the medical expertise for distant medical doctor and usual care recommandations
Measured: 13 months
Secondary outcomes (1)
sensitivity and specificity of diagnostic
Calculation of sensitivity and specificity of diagnostic for acute disease and emergency for both distant medical doctor and usual care recommendations
Measured: 13 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Dec 2020
- Study start15 Dec 2020
- Primary completion25 Apr 2023
- Study completion25 Mar 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Homes for the AgedStudies of the same condition, open and under way.
- More trials run by University Hospital, LimogesThe sponsor's other registered studies.
- 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
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 137 participants (actual)
Sponsor and investigators
- Lead sponsor
- University Hospital, Limoges
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04679181
- Sponsor's protocol ID
- 87RI18-0018/Intel@Med-Poc
- Acronym
- Intel@Med-Poc
- Status last verified
- Jun 2026
- First submitted
- 3 Dec 2020
- Last updated
- 26 Jun 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 26 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Acceptability Assessment of an "Organization of Care Integrating Artificial Intelligence and a Solution of Telemedicine" on Care of the Nursing Home Residents Located in a Medical Desert: Pilot Study INTEL@MED-POC
- ClinicalTrials.gov ID
- NCT04679181
- Acronym / sponsor ID
- Intel@Med-Poc / 87RI18-0018/Intel@Med-Poc
- Conditions
- Homes for the Aged
- Keywords
- aged, telemedicine, artificial intelligence
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 137 participants (actual)
- Lead sponsor
- University Hospital, LimogesUniversity, hospital or other
- Study start
- 15 Dec 2020 (actual)
- Primary completion
- 25 Apr 2023 (actual)
- Study completion
- 25 Mar 2025 (actual)
- First posted
- 22 Dec 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
While depend elderly people needs are important in Nursing Home, the medical resources are weak from both inside and outside residences located in a medical desert. The goal of this project is to measure the acceptability of Artificial Intelligence and Telemedicine in Nursing Home located in medical desert for patients, nurses, and medical doctor
Detailed description
The ageing of the population comes along with the problematic of chronic pathologies and dependence, with sometimes serious consequences resulting in an admission in Nursing Home. While the low require a medical doctor in each Nursing Home, one third of the Nursing Home does not have. Some Nursing Homes can be in a tricky situation with no medical doctor coordinator and the difficulty of access to a medical doctor who covered a wide territory. In this context, the emergence of Artificial Intelligence coupled with Telemedicine is a new opportunity to find solution in healthcare organization and to develop advanced geriatric medical practice in medical desert territory. The goal of this study is to quantify and characterize the acceptability of Artificial Intelligence and Telemedicine in Nursing Home located in medical desert for patients, nurses, and medical doctor.
All the patients were examined by a nurse. The symptoms filled by the nurse in the Artificial Intelligence/Telemedicine device are sent and then analyzed by a distant medical doctor to purpose a care. The nurse also solicited the attending medical doctor as usual care.
The recommendations of the both medical doctors could be (i) Vital emergency, (ii) non-vital emergency necessitate medication or hospitalization, and (iii) non-emergency with medical appointment.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Active arm | Experimental | Other: Telemedecineuse of telemedicine |
Who may qualify
- Ages
- 65 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
Key inclusion criteria (5 listed)
- Patient older than 65 years old.
- Patient living in Nursing Home located in medical desert.
- Patient presenting symptoms involved medical doctor call.
- Patient or legal representative having signed consent form
- Patient covered by social security
Key exclusion criteria (2 listed)
- End of life patient.
- Chronic aphasic patient.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Telemedecinetelemedical consultation | Other | Active arm |
Primary outcome
Acceptability for nurse to use Artificial Intelligence / Telemedecine device analyzed by distant medical doctor
Time frame: 13 months
Proportion of the Artificial Intelligence / Telemedecine utilization by the nurse vs medical doctor as usual care
Number of non-programmed hospitalization for both distant medical doctor and usual care recommendations
Time frame: 13 months
Comparison of non programmed hospitalization in both distant medical doctor analysis and medical doctor as usual care
delay to obtain the medical expertise
Time frame: 13 months
Comparison of time to obtain the medical expertise for distant medical doctor and usual care recommandations
1 secondary outcome
sensitivity and specificity of diagnostic
Time frame: 13 months
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Jun 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
6 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Telemedecine in people with Homes for the Aged, run by University Hospital, Limoges at 6 sites in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 26 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 6 sites in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Acceptability for nurse to use Artificial Intelligence / Telemedecine device analyzed by distant medical doctor (time frame: 13 months). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Jun 2026.