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
- Conditions
- Homes for the Aged
- Interventions
- Other: Telemedecine
- Registration Number
- NCT04679181
- Lead Sponsor
- University Hospital, Limoges
- 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.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 308
- 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
- End of life patient.
- Chronic aphasic patient.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Active arm Telemedecine use of telemedicine
- Primary Outcome Measures
Name Time Method delay to obtain the medical expertise 13 months Comparison of time to obtain the medical expertise for distant medical doctor and usual care recommandations
Number of non-programmed hospitalization for both distant medical doctor and usual care recommendations 13 months Comparison of non programmed hospitalization in both distant medical doctor analysis and medical doctor as usual care
Acceptability for nurse to use Artificial Intelligence / Telemedecine device analyzed by distant medical doctor 13 months Proportion of the Artificial Intelligence / Telemedecine utilization by the nurse vs medical doctor as usual care
- Secondary Outcome Measures
Name Time Method sensitivity and specificity of diagnostic 13 months Calculation of sensitivity and specificity of diagnostic for acute disease and emergency for both distant medical doctor and usual care recommendations
Trial Locations
- Locations (6)
EHPAD Le Chant des Rivières
🇫🇷Chambon-sur-Voueize, France
Ehpad Le Chavanon
🇫🇷Merlines, France
EHPAD Le Bois Joli
🇫🇷Auzances, France
EHPAD La Porte d'Aquitaine
🇫🇷La Roche Chalais, France
EHPAD Ernest Coulaud
🇫🇷Peyrelevade, France
EHPAD J et M Colaud
🇫🇷Saint Privat, France