Structuring this free-form data has the immense opportunity to provide deeper insights into many aspects of patients’ disease journeys, adverse events identification, burden-of-disease tracking and patient identification for a clinical study and more.
TORONTO (PRWEB)
September 14, 2022
For real-world data (RWD) to be useful at scale to drive business insights, it often needs to be deemed as ‘quality’ data. Transforming RWD into a quality data asset often requires it to be organized, cleansed, harmonized and essentially structured in a format that makes it usable. While claims data is predominantly in a structured format, electronic health record (EHR) data contains both structured and unstructured data. In fact, it is estimated that 80 percent of this type of data is unstructured, often in the form of free-text.
This notes-based data can include important clinical information, such as patient sentiment, genetic testing results, reasons for therapy choice, side effects of a medication, patient outcomes and more. Structuring this free-form data has the immense opportunity to provide deeper insights into many aspects of patients’ disease journeys, adverse events identification, burden-of-disease tracking and patient identification for a clinical study and more. Artificial intelligence (AI) techniques, such as machine learning (ML) and natural language processing (NLP), paired with oversight from clinicians, are already being used to standardize EHR data in a meaningful way at scale.
Join this webinar to understand how unstructured EHR data is curated using clinician-informed AI to help make it meaningful for real-world research purposes.
Bonus: hear real case study examples across ophthalmology, urology and neurology.
Join Michael Mbagwu, MD, Medical Director, Verana Health; Aracelis Torres, PhD, Senior Vice President of Customer Solutions and Quantitative Sciences, Verana Health; and Abel Kho, MD, Founding Director, Institute for Augmented Intelligence in Medicine, for the live webinar on Wednesday, October 5, 2022, at 4pm EDT (1pm PDT).
For more information, or to register for this event, visit Structuring the Unstructured in RWE: Transforming EHR Data with AI.
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