Remote Patient Monitoring and Detection of Possible Diseases With Artificial Intelligence Telemedicine System

Study Overview
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Brief Summary
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Remote patient monitoring and detection of possible diseases with Artificial Intelligence Telemedicine System

Detailed Description
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Possible disease detection with artificial intelligence from the patient's vital values possible disease detection from the patient's examination records

Official Title
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SETİNT AI-Diseases

Conditions
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Predictive Value of Tests, Vital Signs, Laboratory Critical Values, Relative Value Scales, Reference Values

Intervention / Treatment
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* Diagnostic Test: mesure valition


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: No Eligibility Criteria Exclusion Criteria: -
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| fever<br>Remote patient monitoring. fever values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. | Diagnostic Test: mesure valition<br>* Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems<br>* Other names: Vital values recorded by the patient in the system.;|
| pulse<br>Remote patient monitoring. pulse values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. | Diagnostic Test: mesure valition<br>* Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems<br>* Other names: Vital values recorded by the patient in the system.;|
| blood pressure<br>Remote patient monitoring. Blood pressure values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. | Diagnostic Test: mesure valition<br>* Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems<br>* Other names: Vital values recorded by the patient in the system.;|
| oxygen saturation<br>Remote patient monitoring. oxygen saturationvalues recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. | Diagnostic Test: mesure valition<br>* Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems<br>* Other names: Vital values recorded by the patient in the system.;|
| glucose<br>Remote patient monitoring. glucose values recorded by the patient in the system. Validation of pre-diagnosis results of AI systems to detect fever-related diseases. | Diagnostic Test: mesure valition<br>* Possible diseases that may occur as a result of the patient's vital values with artificial intelligence systems<br>* Other names: Vital values recorded by the patient in the system.;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Patient symptoms and disease confirmation | Her physician's patient symptom data were successfully matched to ICD-10 and other disease codes using the AI model. | May - October 2021 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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test, laboratory, relative value, homecar, artificial intelligence