Health care executive Chris Darland discusses their article "Why remote patient monitoring needs a preventive shift." Chris explains that remote patient monitoring is currently too reactive, functioning as a safety net that tracks problems rather than preventing them. He suggests that technology should shift toward a proactive approach where data is collected before routine visits to provide a real life snapshot of heart performance. Chris describes how advanced signal processing tools, similar to those used by NASA, can now capture high-fidelity cardiac signals over several days while patients live their normal lives. By using AI to turn raw data into actionable insights, health care teams can detect subtle trends and make small adjustments before emergencies occur. This new approach moves beyond simply turning homes into hospitals and instead focuses on building a digital model of whole body health. Find out how listening to the heart's hidden clues can help clinicians see ahead to what might become a problem.

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