For Clinical Analytics to Improve Outcomes, They Need to Be Useful and Be Used

In healthcare, "good" patient data—accurate, timely, accessible, and relevant—enables "good" care. However, delivering such data to the point-of-care is challenging due to fragmented medical records across different systems focused more on billing and liability mitigation than care delivery. Patient data is often a mix of structured EMR tables, medical claims, and free-text notes, usually organized chronologically, requiring clinicians to sift through EMRs for insights and care improvement opportunities. AI can help.

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