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

Study Overview
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Brief Summary
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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
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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.

Official Title
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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

Conditions
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Homes for the Aged

Intervention / Treatment
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* Other: Telemedecine


Participation Criteria
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Eligibility Criteria
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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.

Ages Eligible for Study
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Minimum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Prevention
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Active arm<br>use of telemedicine | Other: Telemedecine<br>* telemedical consultation<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 | 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 | 13 months | 
| delay to obtain the medical expertise | Comparison of time to obtain the medical expertise for distant medical doctor and usual care recommandations | 13 months | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 | 13 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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aged, telemedicine, artificial intelligence