AI-powered monitoring for better heart failure care

Design
Research
The first AI-powered system providing continual data for better heart failure management, keeping patients active and clinicians informed.
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The problem

Heart failure is a growing global burden, affecting millions of patients and placing sustained pressure on healthcare systems.

Ideation Workshops

We worked closely with Precision Cardiovascular to explore the real-world challenges of managing heart failure at scale , bringing together clinical, technical, and product perspectives in a structured research and ideation process.

Through facilitated workshops and early research activities, we examined current care pathways, data availability, and points of friction across monitoring, diagnosis, and intervention.

Research

We conducted a mixed-method research programme combining clinician interviews, patient focus groups, and structured desk research to understand real-world heart failure management challenges. This included interviews with cardiologists and heart failure nurses, moderated sessions with patients living with heart failure, and a review of published clinical studies and comparable monitoring programmes.

The Research

The research focused on adoption barriers, workflow burden, alert fatigue, compliance behaviours, and the gap between available data and actionable clinical insight. Findings were synthesised into service blueprints, opportunity maps, and evidence-led hypotheses to ensure future innovation was grounded in clinical reality, patient behaviour, and operational constraints.

Pre-clinical testing & clinical readiness

The system is currently being evaluated in a pre-clinical animal model, with ongoing testing in pigs to validate signal fidelity, reliability, and real-world wearability under physiological conditions that closely mirror human cardiovascular dynamics.

From concept to build

Following the research, work progressed into detailed product definition across both hardware and software. Precision Cardiovascular is currently collaborating with a contract development and manufacturing organisation (CDMO) on hardware design, manufacturability, and system integration.

In parallel, the reader and software experience have been designed to support real-world clinical workflows — focusing on signal clarity, ease of use, and minimal burden for patients and care teams. Together, this work translates research and workshop outputs into a cohesive, build-ready system aligned with clinical, technical, and operational requirements.

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