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

Sponsor

University Hospital, Limoges (Other)

Overall Status

Recruiting

CT.gov ID

NCT04679181

Collaborator

(none)

308

Enrollment

Locations

Arm

27.3

Anticipated Duration (Months)

51.3

Patients Per Site

1.9

Patients Per Site Per Month

Study Details

Study Description

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

Condition or Disease	Intervention/Treatment	Phase
Homes for the Aged	Other: Telemedecine	N/A

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

Study Type:

Interventional

Anticipated Enrollment :

308 participants

Allocation:

N/A

Intervention Model:

Single Group Assignment

Masking:

None (Open Label)

Primary Purpose:

Prevention

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

Actual Study Start Date :

Dec 15, 2020

Anticipated Primary Completion Date :

Mar 25, 2023

Anticipated Study Completion Date :

Mar 25, 2023

Arms and Interventions

Arm	Intervention/Treatment
Experimental: Active arm use of telemedicine	Other: Telemedecine telemedical consultation

Arm

Intervention/Treatment

Experimental: Active arm

use of telemedicine

Other: Telemedecine

telemedical consultation

Outcome Measures

Primary Outcome Measures

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
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
delay to obtain the medical expertise [13 months]
Comparison of time to obtain the medical expertise for distant medical doctor and usual care recommandations

Secondary Outcome Measures

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

Eligibility Criteria

Criteria

Ages Eligible for Study:

65 Years and Older

Sexes Eligible for Study:

All

Accepts Healthy Volunteers:

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.

Contacts and Locations

Locations

	Site	City	Country	Postal Code
1	EHPAD Le Bois Joli	Auzances	France	23700
2	EHPAD Le Chant des Rivières	Chambon-sur-Voueize	France	23170
3	EHPAD La Porte d'Aquitaine	La Roche Chalais	France	24490
4	Ehpad Le Chavanon	Merlines	France	19340
5	EHPAD Ernest Coulaud	Peyrelevade	France	19290
6	EHPAD J et M Colaud	Saint Privat	France	19220

Sponsors and Collaborators

University Hospital, Limoges

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.

Responsible Party:

University Hospital, Limoges

ClinicalTrials.gov Identifier:

NCT04679181

Other Study ID Numbers:

87RI18-0018/Intel@Med-Poc

First Posted:

Dec 22, 2020

Last Update Posted:

Apr 4, 2022

Last Verified:

Apr 1, 2022

Individual Participant Data (IPD) Sharing Statement:

Plan to Share IPD:

Studies a U.S. FDA-regulated Drug Product:

Studies a U.S. FDA-regulated Device Product:

Keywords provided by University Hospital, Limoges

aged

telemedicine

artificial intelligence

Study Results

No Results Posted as of Apr 4, 2022