Unstructured text in patient records remains one of the best options to gain detailed insight into the diagnosis and outcomes associated with clinical treatment.
Previously, the challenges of systematically analysing thousands of different reports and textual fields have been a prohibitive barrier to this vital data.
However, advances in text mining and Natural Language Processing have changed that, opening up opportunities for clinical research and operational analytics to improve disease understanding, comparative effectiveness and hospital efficiency.
This webinar will highlight some of the challenges in text mining patient data and how Linguamatics is enabling leading payer, provider and research organizations to make more effective use of their data.
To view the webinar, you will first have to fill out a small webform.