In one embodiment, predicting gastrointestinal impairment involves obtaining intestinal sounds of a patient to generate audio data, identifying predefined spectral events in the audio data that are predictive of subsequent gastrointestinal impairment, the spectral events being defined by predefined parameters, and predicting the likelihood of subsequent gastrointestinal impairment relative to the identified spectral events.