A method for providing high-priority notification messages to a user (110, 410) of an ear-wearable device system, wherein the ear-wearable device system comprises a physiological sensor (150, 412) present on, within, or carried with the user and an ear-wearable device (120, 203) comprising a speaker, a microphone, a processor, a memory storage, and a wireless communication device, and; wherein the method comprises: receiving a plurality of sensor messages from the physiological sensor; identifying high-priority sensor information from among the plurality of received sensor messages; identifying content for an audio voice message to provide to the user, wherein the content comprises user notification information containing or based on the high-priority sensor information identified from among the received sensor messages; and providing the audio voice message at the speaker of the ear-wearable device, characterized in that the method further comprises: sending the plurality of sensor messages to a data warehouse location; analyzing the plurality of sensor messages received at the data warehouse location for trends using analysis techniques; performing machine learning training to improve the analysis techniques used to analyze the plurality of sensor messages received at the data warehouse location; receiving, at the data warehouse location, first input from the user of the ear-wearable device system; and applying the first input to improve the analysis techniques. wherein the method comprises: receiving a plurality of sensor messages from the physiological sensor; identifying high-priority sensor information from among the plurality of received sensor messages; identifying content for an audio voice message to provide to the user, wherein the content comprises user notification information containing or based on the high-priority sensor information identified from among the received sensor messages; and providing the audio voice message at the speaker of the ear-wearable device, receiving a plurality of sensor messages from the physiological sensor; identifying high-priority sensor information from among the plurality of received sensor messages; identifying content for an audio voice message to provide to the user, wherein the content comprises user notification information containing or based on the high-priority sensor information identified from among the received sensor messages; and providing the audio voice message at the speaker of the ear-wearable device, characterized in that the method further comprises: sending the plurality of sensor messages to a data warehouse location; analyzing the plurality of sensor messages received at the data warehouse location for trends using analysis techniques; performing machine learning training to improve the analysis techniques used to analyze the plurality of sensor messages received at the data warehouse location; receiving, at the data warehouse location, first input from the user of the ear-wearable device system; and applying the first input to improve the analysis techniques. sending the plurality of sensor messages to a data warehouse location; analyzing the plurality of sensor messages received at the data warehouse location for trends using analysis techniques; performing machine learning training to improve the analysis techniques used to analyze the plurality of sensor messages received at the data warehouse location; receiving, at the data warehouse location, first input from the user of the ear-wearable device system; and applying the first input to improve the analysis techniques.