[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100565604":3},{"organization":4,"armGroups":7,"interventions":30,"overallOfficials":37,"centralContacts":42,"locations":51,"responsibleParty":72,"collaborators":74,"id":78,"slug":79,"hasResults":80,"nctId":81,"briefTitle":82,"officialTitle":82,"acronym":83,"eligibilityCriteria":84,"healthyVolunteers":80,"sex":85,"minAge":86,"maxAge":36,"enrollmentInfo":87,"targetDuration":36,"studyType":90,"phases":91,"briefSummary":93,"conditions":94,"keywords":99,"overallStatus":109,"whyStopped":36,"lastUpdateSubmitDate":110,"lastUpdatePostDateStruct":111,"startDateStruct":114,"completionDateStruct":115,"leadSponsor":117,"locationsCount":118},{"fullName":5,"class":6},"I.M. Sechenov First Moscow State Medical University","OTHER",[8,14,18,22,26],{"label":9,"type":10,"description":11,"interventionNames":12},"Heart Failure","EXPERIMENTAL","Patients with chronic heart failure who was hospitalized due to decompensation of their condition. Their condition should be stabilized before discharge.\n\nRobotic 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.",[13],"Device: Voice assistant",{"label":15,"type":10,"description":16,"interventionNames":17},"Diabetes mellitus","Patients with diabetes mellitus who was hospitalized with unstable glucose level. Their condition should be stabilized before discharge.\n\nRobotic 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.",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"Arterial hypertension","Patients with arterial hypertension who was hospitalized with unstable arterial pressure. Their condition should be stabilized before discharge.\n\nRobotic 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).",[13],{"label":23,"type":10,"description":24,"interventionNames":25},"Lymphoproliferative diseases","Patients with any lymphoproliferative disease who is undergoing chemotherapy. Their condition should be stabilized before discharge.\n\nRobotic 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.",[13],{"label":27,"type":10,"description":28,"interventionNames":29},"Total knee replacement","Patients who underwent total knee replacement. Their condition should be stabilized before discharge.\n\nRobotic 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.",[13],[31],{"type":32,"name":33,"description":34,"armGroupLabels":35,"otherNames":36},"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.\n\nFollow-up and management of disease provided by specialists at participating institutions.",[19,15,9,23,27],null,[38],{"name":39,"affiliation":40,"role":41},"Maria Kozhevnikova, Professor","The Sechenov First Moscow State Medical University","PRINCIPAL_INVESTIGATOR",[43,47],{"name":39,"role":44,"phone":45,"phoneExt":36,"email":46},"CONTACT","+79265605019","kozhevnikova_m_v@staff.sechenov.ru",{"name":48,"role":44,"phone":49,"phoneExt":36,"email":50},"Aleksei Emelianov, Assistant","+79998305785","emelyanov_a_v@staff.sechenov.ru",[52],{"facility":53,"status":36,"city":54,"state":36,"zip":55,"country":56,"countryCode":57,"cosmosGeoPoint":58,"geoPoint":63,"contacts":64},"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","119048","Russia","RU",{"type":59,"coordinates":60},"Point",[61,62],37.61781,55.75204,{"lat":62,"lon":61},[65,67,71],{"name":66,"role":44,"phone":45,"phoneExt":36,"email":46},"Maria Kozhevnikova",{"name":68,"role":44,"phone":69,"phoneExt":36,"email":70},"Elena Zheleznykh","+79104539039","elenavlvp@gmail.com",{"name":66,"role":41,"phone":36,"phoneExt":36,"email":36},{"type":73,"investigatorFullName":36,"investigatorTitle":36,"investigatorAffiliation":36,"oldNameTitle":36,"oldOrganization":36},"SPONSOR",[75],{"name":76,"class":77},"PJSC VimpelCom","UNKNOWN","100565604","remote-multichannel-monitoring-of-patients-with-chronic-diseases-using-speech-technologies-based-on-artificial-intelligence-100565604",false,"NCT06644339","Remote Multichannel Monitoring of Patients With Chronic DIseAses Using Speech technoLogies Based On Artificial intelliGence","DIALOG","Inclusion Criteria:\n\n* Disease diagnosed according to the latest Clinical practice guidelines\n* Stable condition at the time of discharge from the hospital\n* Written informed consent to participate in the study\n\nNon-inclusion criteria:\n\n* Diagnosed dementia or severe cognitive impairment\n* The inability to use automatic devices to register blood pressure at home, a blood glucose meter\n* Alcohol or drug abuse\n* 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\u002For comply with the protocol instructions or follow-up procedures\n\nExclusion Criteria:\n\n* Unwillingness of the patient to continue participating in the study\n* The development of conditions related to the criteria of non-inclusion","ALL","18 Years",{"count":88,"type":89},500,"ESTIMATED","INTERVENTIONAL",[92],"NA","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.",[9,95,96,97,98],"Diabetes Mellitus","Arterial Hypertension","Lymphoproliferative Disease","Total Knee Replacement",[100,101,102,103,104,105,106,107,108],"heart failure","diabetes mellitus","arterial hypertension","lymphoproliferative diseases","knee replacement","remote monitoring","mHealth","telemedicine","voice assistant","NOT_YET_RECRUITING","2024-10-15",{"date":112,"type":113},"2024-10-16","ACTUAL",{"date":110,"type":89},{"date":116,"type":89},"2025-04-30",{"name":5,"class":6},1]