Value in Health Review: Applying Machine Learning to Wearable Data to Generate HEOR Insights
An article in the latest issue of Value in Health breaks down how machine learning can be applied to data from wearable devices to advance health economics and outcomes research (HEOR). Wearables are a font of real-world data (RWD) that can be analyzed by machine learning (ML). By addressing existing issues of data quality and effective usage, such a trove of information could accelerate research and decision-making process for payers, regulatory bodies, and pharma companies.
Using AI, NLP and Data Visualization with RWE to Generate Insights into Care Gaps: Retrospective Cohort Analysis of Fracture Risk in Patients with Osteopenia and Osteoporosis
This blog reports practical uses of RWD sourced from the largest, cloud-based electronic health record (EHR) platform in the United States, offered by Veradigm® as part of its Health Insights database.
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