Remote Multichannel Monitoring of Patients With Chronic DIseAses Using Speech technoLogies Based On Artificial intelliGence

NCT06644339 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 500

Last updated 2024-10-16

No results posted yet for this study

Summary

DIALOG is a study to assess the efficacy and safety of remote patient monitoring using virtual operator voice technologies and a business intelligence (BI) system for timely detection, prevention of early complications, worsening of the condition, and other adverse events in patients who have been discharged from the hospital.

Conditions

Interventions

DEVICE

Voice assistant

Robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system by voice commands on the "question-answer" principle. It allows us to automate data collection and obtain information about the patient's well-being and his vital signs (blood pressure, heart rate, weight) depending on disease. Follow-up and management of disease provided by specialists at participating institutions.

Sponsors & Collaborators

  • PJSC VimpelCom

    collaborator UNKNOWN
  • I.M. Sechenov First Moscow State Medical University

    lead OTHER

Principal Investigators

  • Maria Kozhevnikova, Professor · The Sechenov First Moscow State Medical University

Study Design

Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-10-15
Primary Completion
2025-02-28
Completion
2025-04-30

Countries

  • Russia

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06644339 on ClinicalTrials.gov