Evaluation of the Medentum Diagnostik Platform for Pediatric ENT Conditions and Asthma
Medentum Innovations
Summary
This study evaluates the diagnostic performance, usability, and clinical utility of the Medentum Diagnostik platform, a multisensor device with integrated software and artificial intelligence, in pediatric patients with asthma and ENT conditions. Participants will be assigned to either home-based use of the Diagnostik platform with telehealth-supported clinician evaluation or standard in-person care. The primary objective is to assess agreement between AI-generated diagnoses and clinician diagnoses obtained during study encounters, including telehealth evaluations in the Diagnostik arm and in-person evaluations in the standard-of-care arm. Secondary objectives include evaluating agreement between AI-generated diagnoses and independent research team diagnoses, as well as assessing usability, patient and caregiver satisfaction, healthcare utilization, and clinical outcomes such as asthma control and symptom resolution. This study will also evaluate differences in healthcare utilization, including in-person visits, emergency care use, and time to diagnosis and treatment, between study groups.
Description
Study Design and Methodology This study is a randomized, controlled clinical trial designed to evaluate the diagnostic performance, usability, and clinical utility of the Medentum Diagnostik platform in pediatric patients with asthma and ear, nose, and throat (ENT) conditions, including acute otitis media and pharyngitis . Participants will be randomized to one of two groups: 1. home-based use of the Diagnostik platform with telehealth-supported clinician evaluation (intervention arm), or 2. standard-of-care clinical evaluation via in-person or telehealth visits without use of the Diagnosti…
Eligibility
- Age range
- 3–17 years
- Sex
- All
- Healthy volunteers
- Yes
Inclusion Criteria: * Age: Patients between the ages of 4 and 17 years (asthma) and 3-17 years (ENT) * Diagnosis: o Asthma patients: Diagnosed with mild-to-moderate and severe persistent asthma according to Global Initiative for Asthma (GINA) guidelines, with a history of symptoms or exacerbations requiring medical intervention (prior prednisone course and/or albuterol for \>24 hours in context of acute wheezing episode) in the past 12 months. ENT patients: Diagnosed with common ENT conditions such as acute otitis media (AOM) or strep pharyngitis in the prior year. Diagnosis must be based…
Interventions
- DeviceDiagnostik home-based platform: multisensor device, software application, and artificial-intelligence algorithms that predict diagnosis of AOM and strep pharyngitis
Diagnostik home-based platform: multisensor device, software application, and artificial-intelligence algorithms that predict diagnosis of AOM and strep pharyngitis
- DeviceDiagnostik home-based platform: multisensor device, software application, and artificial-intelligence algorithms that predict diagnosis of wheeze/asthma exacerbation
Diagnostik home-based platform: multisensor device, software application, and artificial-intelligence algorithms that predict diagnosis of wheeze/asthma exacerbation
- OtherRoutine Asthma Management (in-person and telehealth visits)- Control Group
* Patients randomized to the control group will receive standard care through routine in-office visits or telehealth visits. * Patients in the control group will visit the clinic whenever they experience symptoms related to their asthma condition or any other non-respiratory, non-ENT medical condition. * Telehealth visits will be offered as per routine and determined by the medical provider. * Asthma patients will undergo a physical exam, and other lab studies (e.g. Covid, strep tests) as determined by the provider to aid in diagnosis and treatment plan. The medical provider will make a diagnosis based on these routine in-office or telehealth assessments. * Control group patients will have routine well-care in-office follow-ups at a frequency as determined by their routine provider.
Location
- El Rio Health SystemTuscon, Arizona