HealthIT Answers November 7, 2022
As we’ve previously discussed, algorithms—step by step instructions (rules) to perform a task or solve a problem, especially by a computer—have been widely used in health care for decades. One clear use of these algorithms is through evidence-based, clinical decision support interventions (DSIs). Today, we see a rapid growth in data-based, predictive DSIs, which use models created using machine learning (ML) algorithms or other statistical approaches that analyze large volumes of real-world data (called “training data”) to find patterns and make recommendations. While both evidence-based and predictive DSI types (models) could be used to address the same problem, they rely on different logic that’s “baked into” their software.
But before we explore the two approaches, we should first revisit a...
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