NCT06644339

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

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 500 (estimated)
• Sponsor: I.M. Sechenov First Moscow State Medical University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Detailed description

After ensuring that the patient\'s characteristics meet the inclusion and exclusion criteria and confirming the patient\'s ability to use the \"voice assistant\", as provided in the research protocol, patients who have completed the briefing will be able to use the voice assistant at home. During the month, robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system will be conducted for five groups of patients (CHF, DM, AH, LPD, and patients who underwent total knee replacement) who have been discharged from the hospital. The system developed allows for quick surveys, collection of data on patient conditions, and convenient transfer of this data to the physician. The physician will receive information on patient status in a graphical form using a traffic light system. In the event of any red flags, the physician will contact the patient for further discussion on treatment strategies. The study will evaluate the efficacy and safety of utilizing the \"voice assistant\" by assessing the achievement of target values for controlled parameters, evaluating patient satisfaction and adherence to treatment, reducing the number of repeat hospitalization, and reducing overall mortality and cardiovascular-related mortality.

Conditions

• Heart Failure
• Diabetes Mellitus
• Arterial Hypertension
• Lymphoproliferative Disease
• Total Knee Replacement

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2024-10-15
• Primary completion: 2025-02-28
• Completion: 2025-04-30
• First posted: 2024-10-16
• Last updated: 2024-10-16

Locations

1 site across 1 country: Russia