Use Case V

Optimizing Heart Failure management

This use case aims to transform heart failure (HF) management by moving from an episodic model of care to a continuous, data-driven, and patient-centred approach to care.

Heart failure is a chronic condition associated with frequent exacerbations, high hospitalisation rates, and a significant impact on patients’ quality of life.

However, current care pathways rely heavily on periodic clinical visits and patient self-reporting, often leading to delayed recognition of clinical deterioration and limited ability to intervene early.

The goal is to enable earlier detection of worsening conditions, improve long-term disease management, and support patients more effectively throughout their daily lives.

AI Solutions
Data Insights
Patient Care

Partners involved:

Innovate

Transforming Heart Failure management through data-driven care

This use case seeks to enhance heart failure management by integrating continuous monitoring, predictive analytics, and structured digital follow-up into routine clinical practice. Current approaches often lack real-time visibility of patient status and are characterised by fragmented data across care settings, limiting personalised and timely intervention.

By combining clinical, behavioural, and physiological data, the initiative enables a more comprehensive understanding of each patient’s condition and supports more informed, data-driven clinical decisions. This contributes to improving care coordination, reducing variability, and strengthening adherence to evidence-based clinical pathways.

Patient engagement plays a central role, with tailored support designed to improve adherence to treatment and lifestyle recommendations, while also addressing psychological factors that can impact disease progression and outcomes.

Towards a more proactive and personalised care pathway

By shifting from hospital-centred, episodic care to a continuous and integrated model, this use case addresses current limitations in heart failure management, including delayed intervention, poor adherence, and fragmented follow-up across care settings.

This approach enables earlier identification of clinical deterioration, more timely and personalised interventions, and better coordination between healthcare professionals, ultimately improving patient outcomes and healthcare system efficiency.

Key expected outcomes include:

Reduction in disease-related hospitalisations

through earlier detection and proactive management of heart failure.

Improved patient-reported quality of life

through better symptom control and more personalised care.

Increased adherence to prescribed therapies

supported by continuous monitoring and structured follow-up.

Higher adherence to scheduled follow-up visits

through improved patient engagement and coordination of care.

Improvement in key clinical parameters

including vital signs and relevant laboratory markers.

Reduction in emergency room visits

through earlier identification and management of acute events.

Reduction in acute heart failure episodes

enabled by more proactive and continuous disease management.

Partners involved