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

I.M. Sechenov First Moscow State Medical University

Status: Not yet enrolling

Conditions: Arterial Hypertension; Diabetes Mellitus; Heart Failure; Total Knee Replacement; Lymphoproliferative Disease

Treatments: Device: Voice assistant

Study type: Interventional

Funder types: Other

Identifiers

NCT06644339

DIALOG2024

Details and patient eligibility

About

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.

Full 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.

Enrollment: 500 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

Trial design

Primary purpose: Treatment

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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500 participants in 5 patient groups

Heart Failure

Experimental group

Description:

Patients with chronic heart failure who was hospitalized due to decompensation of their condition. Their condition should be stabilized before discharge. Robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system by voice commands to automate data collection and obtain information about the patient's well-being and his vital signs (blood pressure, heart rate, weight) related to heart failure.

Treatment:

Device: Voice assistant

Diabetes mellitus

Experimental group

Description:

Patients with diabetes mellitus who was hospitalized with unstable glucose level. Their condition should be stabilized before discharge. Robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system by voice commands to automate data collection and obtain information about the patient's well-being and his vital signs (blood pressure, heart rate, weight, glucose) related to diabetes mellitus.

Treatment:

Device: Voice assistant

Arterial hypertension

Experimental group

Description:

Patients with arterial hypertension who was hospitalized with unstable arterial pressure. Their condition should be stabilized before discharge. Robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system by voice commands to automate data collection and obtain information about the patient's well-being and his vital signs (blood pressure, heart rate, hypotension sings, signs of damage to target organs).

Treatment:

Device: Voice assistant

Lymphoproliferative diseases

Experimental group

Description:

Patients with any lymphoproliferative disease who is undergoing chemotherapy. Their condition should be stabilized before discharge. Robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system by voice commands to automate data collection and obtain information about the patient's well-being and his vital signs (blood pressure, heart rate) related to chemotherapy complications.

Treatment:

Device: Voice assistant

Total knee replacement

Experimental group

Description:

Patients who underwent total knee replacement. Their condition should be stabilized before discharge. Robotic remote monitoring of patients using unique algorithms developed for virtual operator speech technology and a BI system by voice commands to automate data collection and obtain information about the patient's well-being and his vital signs (pain, fever) related to replacement complications.

Treatment:

Device: Voice assistant