Mayo Clinic researchers found that sleep metrics from wrist monitors can identify which COPD patients may need more support during pulmonary rehab.
RT’s Three Key Takeaways:
Predictive Sleep Data: Baseline sleep measures from wearable devices, when combined with machine learning, improved the ability to predict how consistently patients with COPD would participate in home rehabilitation programs.
Personalized Care Delivery: Utilizing a Composite Sleep Health Score allows clinicians to identify patients at risk of dropping out and provide targeted support to improve rehabilitation outcomes.
Enhanced Remote Monitoring: Integrating wearable data into healthcare workflows provides a more detailed view of a patient’s daily patterns than traditional clinical assessments alone, according to…