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AI enabled real time bedside monitoring and alerting from the electrocardiogram (ECG) of acute patients can help improve clinical outcome. We present a AI based clinical decision support system (CDSS) that extracts and presents domain-inspired features from ECG in real time. It also raises an alarm in an anomaly detection setting. Furthermore, we demonstrate that the system can also produce a diagnosis to assist the doctor connected to the clinically relevant features. We use arrhythmia as a test case. Given that the purpose of the paper is to develop a simple yet effective multimedia tool that can be applied in a practical healthcare setting, we have purposefully selected a non deep learning model. 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