The bedside monitor speaks up only once a single number crosses a fixed limit. AREDA Med notices earlier — not one value, but the fact that several values are drifting away from this patient's own normal at the same time, and staying there.
The bedside monitor is designed to detect a breached limit, not to warn early. Both are needed, and each for something different.
Static thresholds apply to the entire ward, but physiological baselines are unique to each patient. A blood pressure reading that is stable for one may signal the onset of hypotension for another. A fixed limit misses this context and reacts universally.
Literature reports that 72 to 99% of ICU monitor alarms are clinically irrelevant. The inevitable result is alarm fatigue, where staff naturally become desensitised to the constant acoustic noise. This is not human error, but a limitation of reactive technology.
Up to 84% of cardiac arrest patients exhibit signs of physiological deterioration 8 hours before the event. However, these signals often manifest as creeping drifts across multiple vital signs, which static monitors fail to flag until a critical threshold is finally breached.
None of those three values is enough for an alarm on its own. Only together — and only because they drift steadily rather than jump — do they form a picture worth putting in front of a human.
The system first aggregates data to establish the patient's specific physiological baseline before commencing comparative measurement. Until a reliable reference is available, this is clearly declared on the dashboard — an absence of data is never presented as clinical stability.
Isolated artefacts, such as drops during airway suctioning or movement, are filtered out and ignored. Only a sustained directional drift warrants a call for intervention. The alert sounds once upon confirming a sustained shift — it is not a continuous acoustic signal.
Every alarm generates a report summarising the event context clearly, providing physicians and review committees with a transparent audit trail detailing the applied rule. The database record is append-only: acknowledgement does not erase history; it merely logs the staff's response.
The default mode of an installation is shadow: the system computes and records, but does not call staff. Moving to operation where it does call is a deliberate decision by the institution, and the system announces that mode more loudly than the quiet one.
We do not state by how much AREDA Med reduces false alarms. That is our goal, not a measured result — only a clinical study can establish it, and that study is our next step. For the same reason we do not describe the system as a certified medical device: assessment under the MDR has not yet taken place.
We apply the principle of data minimisation. Biometric data is processed using a pseudonymised identifier, and the system never handles patient names. However, under GDPR (Art. 4(5)), this constitutes personal data in a pseudonymised regime, not anonymous data, and the regulation applies in full. The healthcare institution acts exclusively as the data controller.
From 26 March 2029, the European Health Data Space (EHDS, Regulation (EU) 2025/327) will provide a pathway for clinical validation on large-scale datasets. This framework complements GDPR, enabling secondary data use based on institutional permits and the patient's right to opt out. We explicitly declare that our system does not function as an Electronic Health Record (EHR) system and does not alter primary medical documentation.
We will walk you through a whole stay, from the first sample to an explained warning — in shadow mode, without touching your monitor.
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