CareXM has unveiled its Artificial Intelligence Decision Assistant (AIDA), an advanced AI-powered solution designed to revolutionise home-based care triage for nurses.
The AI-powered solution enhances clinical assessment support, documentation, and escalation guidance, along with care coordination between staff, patients, and partners.
AIDA is integrated into CareXM’s triage platform, which enhances performance with insights and now decision assistance.
It synthesises evidence-based protocols, organisation-specific processes, real-time team workloads, and live patient interactions to deliver precise guidance.
CareXM CEO Si Luo said: “We built AIDA to directly address the daily pressures triage nurses face while preserving their clinical scope and decision autonomy.
“By embedding intelligence into the workflow, AIDA reduces cognitive burden while increasing confident decision-making at scale, providing real-time support without sacrificing clinical judgment or human connection.
“With this innovation, CareXM strengthens its promise to deliver the most reliable clinical triage support for home-based care, while increasing the speed and accuracy of every triage encounter.”
AIDA ensures that triage decisions and escalations are consistent with care standards.
It captures each encounter in a structured format, summarising assessments, interventions, and outcomes, facilitating seamless handoffs between triage and field teams.
The AI solution allows triage nurses to concentrate on patient-centred care, reducing time spent on information searches and documentation management.
Also, its real-time protocol guidance and automated workflows empower nurses to apply their judgment with clarity and confidence during calls.
CareXM chief technology officer Chris Stokes said: “In healthcare, AI must be domain-specific, aware of real-time clinical context/personas, and workflow-embedded to deliver true value.
“AIDA was responsibly developed, leveraging industry standard clinical models and technical methodologies, while supporting the real-world complexities and client-specific needs of post-acute triage.
“It processes live call documentation, applies organisation-specific protocols, and delivers structured, actionable guidance in real time, reducing cognitive burden on nurses, improving decision consistency, and ensuring seamless documentation for every patient encounter.”
