How timely, complete and clean data from EHRs can accelerate device research
Medical device companies have historically faced significant challenges when trying to study product performance post-launch. Existing data sources, such as claims, registries, or hospital chargemasters, typically do not contain timely, device-level information necessary for robust research studies. Claims and chargemaster data also lack information on clinical outcomes and the patient journey.
Electronic health record (EHR) data have the potential to unlock deep insights into device use and effectiveness, product safety, and patient outcomes. A large-language, multi-modal AI model can harness these insights.
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