Abstract: A system and method for audio processing using artificial intelligence during a voice interaction is configured to improve early identification of disease and case management of a diagnosed member in a healthcare system. Audio data is generated from a voice call between customer service representative (CSR) of the healthcare system and then processed by one or more of a speech-to-text recognition model, a topic detection model, a speaker recognition model, a tone model, an intent identifier, and a sentiment identifier. Then the output of the audio processing is used to detect a condition and automatically perform an action.

Abstract: A device for monitoring body fluid discharge almost in real time is provided, the device includes a base, a motor, a catheter holder, and a liquid level sensor. The motor is fixed on the base and includes an output shaft. The catheter holder is connected to the output shaft and is rotatable relative to the base by the output shaft. The catheter holder includes a curved holding chamber with two openings containing a catheter. The liquid level sensor is disposed at one of the openings for detecting a liquid level of body fluid in the catheter and such level is recorded when a fully-filled catheter is automatically tipped and emptied into a collecting bag. A method for monitoring body fluid discharge using the device is also provided.