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

Overview

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.

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.