Remote Multichannel Monitoring of Patients With Chronic DIseAses Using Speech technoLogies Based On Artificial intelliGence
- Conditions
- Heart FailureDiabetes MellitusArterial HypertensionLymphoproliferative DiseaseTotal Knee Replacement
- Registration Number
- NCT06644339
- 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.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 500
- 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
- Unwillingness of the patient to continue participating in the study
- The development of conditions related to the criteria of non-inclusion
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method all-cause mortality an average, 1 months after randomization mortality rate
complications, decompensations an average, 1 month after randomization rate of complications and exacerbations of the main disease
cardiovascular mortality an average, 1 month after randomization mortality rate
- Secondary Outcome Measures
Name Time Method achievement target or maximally tolerated doses an average, 1 month after randomization achievement target or maximally tolerated doses for CHF, DM and AH
satisfaction an average, 1 month after randomization satisfaction of patients and doctors with the robotic speech questionnaire
changes in medical adherence an average, 1 month after randomization change in amount of taking drugs and doses
Trial Locations
- Locations (1)
Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), University Clinical Hospital No.1
🇷🇺Moscow, Russian Federation