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Build powerful patient cohorts for population analysis using unstructured healthcare data

Go beyond structured clinical codes or claims data to analyze the patient population. Leverage the high-value data within clinical documentation, text, and PDFs to build deeper and more accurate patient cohorts using NLP, OCR and AI.

Create complex inclusion and exclusion criteria using patient details such as symptoms, conditions, treatments, and much more only found in the unstructured clinical data.

They are trusted partners in total health, collaborating with people to help them thrive and creating communities that are among the healthiest in the nation.

NLP in Oncology Real World Data: Opportunities to develop a true learning healthcare system

CancerLinQ, a learning health system product of the American Society for Clinical Oncology (ASCO), provides subscribing practices with innovative analytic tools to...