Artificial Intelligence-Based Disease Management in the Vulnerable Period

Status Enrolling by invitation

Clinical Trial Summary

The study aims to evaluate the effect of AI-based discharge training after acute decompensation of heart failure on the patient's quality of life and to examine the relationship between changes in voice and speech characteristics of patients and changes in hospitalization, discharge, and early post-discharge clinical status.

Clinical Trial Description

Heart failure (HF) is a progressive disease with a fluctuating course. From time to time, patients' symptoms and signs worsen enough to require hospitalization, and hospitalization occurs with acute decompensated HF. Acute HF decompensations are periods that worsen the prognosis of the patient. On the other hand, patients discharged after an acute decompensation have the highest risk during the first months after discharge. Patients get trained about lifestyle changes and medication management during the discharge period. Recent guidelines suggest that patients in the early post-discharge period be called for virtual/telephone or face-to-face control visits at short intervals(3rd, 7th, 14th, and 28th days ), then at 3-6 monthly intervals according to NYHA class. In traditional cardiovascular practice, patients are called for outpatient control visit in the first month after discharge. However, the processes after the pandemic kept patients away from visiting the hospital at the frequency recommended in the American and European guidelines and caused them to stay at home not even following their routine visit schedules. Moreover, the risks and benefits of virtual visits in terms of patient prognosis are not well established. This study aims to investigate relationships between routinely recorded findings, symptoms, and vocal biomarkers of heart failure patients in the hospitalization and in the post-discharge period and to investigate the effect of post-discharge education on patient-reported outcomes and re-hospitalization. ;

Study Design

Related Conditions & MeSH terms

Heart Failure

Clinical Trial Details

NCT number	NCT05544006
Study type	Observational
Source	Albert Saglik Hizmetleri ve Ticaret A.S.
Contact
Status	Enrolling by invitation
Phase
Start date	October 26, 2022
Completion date	April 2, 2023

View Details

See also
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Clinical trials are conducted in a series of steps, called phases - each phase is designed to answer a separate research question.

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.

Artificial Intelligence-Based Disease Management in the Vulnerable Period of Heart Failure — AIDMy-HF

Clinical Trial Summary

Clinical Trial Description

Study Design

Related Conditions & MeSH terms