Using an AI virtual assistant to help manage heart failure patients after hospital discharge

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This pilot study investigates the integration of the SIRIO-HF virtual assistant into the outpatient management of patients recently diagnosed with heart failure. The aim is to determine if this AI-powered tool can reduce the need for regular medical assessments, lower healthcare burdens, and enhance patient satisfaction while maintaining safety and care quality. Participants will be randomized to receive either the virtual assistant alongside standard care or standard care alone. The study focuses on patients discharged from the hospital with New York Heart Association class II-III symptoms.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age ≥ 18 years
* Newly diagnosed HF with New York Heart Association class II-III symptoms at discharge

Exclusion Criteria

* Known prior history of HF
* Severe comorbidities that could affect protocol adherence, in the opinion of the investigator
* Alternative diagnosis for symptoms such as chronic obstructive pulmonary disease
* Dementia or other cognitive impairment
* Currently involved in another interventional clinical trial

Where it's running

• East and North Hertfordshire NHS Trust
  Stevenage, Hertfordshire, United Kingdom Recruiting

Study contacts

• Principal investigator: Diana A Gorog, MD, PhD — East and North Hertfordshire NHS Trust
• Study coordinator: Joshua H Leader, MBChB, BSc
• Email: joshua.leader@nhs.net
• Phone: 07376188768

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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• Voice-based detection of heart failure deterioration using Noah Labs Vox

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.