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.

According to the authors, “Despite the potential benefits, the adoption of wearable data in HEOR has been slow.In addition, there have been uncertainties in how and when to use ML with wearable data. Therefore, we aimed to review the emerging patterns of ML applications of wearable data in HEOR to help researchers understand potential ways of using ML with wearable data.”

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(Source: Value in Health, February 2023)