AI-enabled virtual ward: remote patient monitoring

Doccla has introduced an AI-enabled remote patient monitoring platform designed to extend care beyond the hospital setting. It features a machine learning model that combines data from NHS records and clinical-grade wearables to flag patients at risk. The system combines continuous data streams such as oxygen saturation, blood pressure, and ECG measurements with proprietary datasets to identify early warning signs and support clinicians in prompt intervention.

Doccla’s virtual wards have been developed to support early discharge and reduce avoidable hospital admissions, and the provider says the deployment has contributed to reduced hospital stays, GP appointments and non-elective admissions, with reported cost savings compared to inpatient care. The platform also uses AI tools to help clinicians manage large caseloads and reduce administrative workload.

For patients, the system is designed to support more independent care at home while expanding clinical monitoring outside of the hospital environment. For the NHS, this rollout reflects a technology-led approach to easing waiting lists, hospital overcrowding and corridor care pressures through automated monitoring and scalable virtual care infrastructure.

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