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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

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

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04679181
Acronym
Intel@Med-Poc
Enrollment
137
Registered
2020-12-22
Start date
2020-12-15
Completion date
2025-03-25
Last updated
2026-06-26

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

Conditions

Homes for the Aged

Keywords

aged, telemedicine, artificial intelligence

Brief 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 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.

Interventions

telemedical consultation

Sponsors

University Hospital, Limoges
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* 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

Exclusion criteria

* End of life patient. * Chronic aphasic patient.

Design outcomes

Primary

MeasureTime frameDescription
Acceptability for nurse to use Artificial Intelligence / Telemedecine device analyzed by distant medical doctor13 monthsProportion 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 recommendations13 monthsComparison of non programmed hospitalization in both distant medical doctor analysis and medical doctor as usual care
delay to obtain the medical expertise13 monthsComparison of time to obtain the medical expertise for distant medical doctor and usual care recommandations

Secondary

MeasureTime frameDescription
sensitivity and specificity of diagnostic13 monthsCalculation of sensitivity and specificity of diagnostic for acute disease and emergency for both distant medical doctor and usual care recommendations

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 27, 2026