Are you utilizing patient data to its full potential?
While structured data is now commonly deidentified and used for a multitude of purposes, it’s only part of the story. Approximately 80% of patient data is unstructured. Important knowledge – such as why patients are improving, or worsening – is often hidden away in unstructured text, requiring natural language processing (NLP) to help extract it. Commercialization of both structured and unstructured data is possible while not distracting from a primary concern – maintaining a layer of protection for your patients.
Seemingly marginal insights captured in de-identified patient data can end up being highly significant, driving medical device innovation and greater advances in patient health (even outside the clinical trial setting).
Join IQVIA’s Linguamatics and Privacy Analytics teams, live, as we discuss:
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.