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

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

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06644339
Acronym
DIALOG
Enrollment
500
Registered
2024-10-16
Start date
2024-10-15
Completion date
2025-04-30
Last updated
2024-10-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

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

Keywords

heart failure, diabetes mellitus, arterial hypertension, lymphoproliferative diseases, knee replacement, remote monitoring, mHealth, telemedicine, voice assistant

Brief 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.

Interventions

DEVICEVoice 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

PJSC VimpelCom
CollaboratorUNKNOWN
I.M. Sechenov First Moscow State Medical University
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Disease diagnosed according to the latest Clinical practice guidelines * Stable condition at the time of discharge from the hospital * Written informed consent to participate in the study Non-inclusion criteria: * Diagnosed dementia or severe cognitive impairment * The inability to use automatic devices to register blood pressure at home, a blood glucose meter * Alcohol or drug abuse * Inability to contact a voice assistant and other study requirements, due to major co-morbidities, social or financial issues, or a history of noncompliance with medical regimens, that might compromise the patient's ability to understand and/or comply with the protocol instructions or follow-up procedures

Exclusion criteria

* Unwillingness of the patient to continue participating in the study * The development of conditions related to the criteria of non-inclusion

Design outcomes

Primary

MeasureTime frameDescription
cardiovascular mortalityan average, 1 month after randomizationmortality rate
all-cause mortalityan average, 1 months after randomizationmortality rate
complications, decompensationsan average, 1 month after randomizationrate of complications and exacerbations of the main disease

Secondary

MeasureTime frameDescription
achievement target or maximally tolerated dosesan average, 1 month after randomizationachievement target or maximally tolerated doses for CHF, DM and AH
satisfactionan average, 1 month after randomizationsatisfaction of patients and doctors with the robotic speech questionnaire
changes in medical adherencean average, 1 month after randomizationchange in amount of taking drugs and doses

Countries

Russia

Contacts

Primary ContactMaria Kozhevnikova, Professor
kozhevnikova_m_v@staff.sechenov.ru+79265605019
Backup ContactAleksei Emelianov, Assistant
emelyanov_a_v@staff.sechenov.ru+79998305785

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026