A recent survey of health systems showed that reducing patient leakage is a priority for 94% of respondents but only 10% of them have high confidence in their ability to adequately address the associated drivers. 

One strategy is to leverage technology like NLP, an arm of AI, to surface additional patient context using the unstructured text in patient records. Using sentiment analysis, NLP can also help providers identify and address the factors that cause patients to seek care elsewhere in claims, social media data, and call center transcripts. By harnessing NLP to extract patient level insights across these data sources health systems care management teams can identify which patients struggle with access to care, and ultimately drive improvements to quality and the patient experience.