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Long-term data from smartwatches can help estimate clinical blood test results

Long-term data from smartwatches can help estimate clinical blood test results Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count, according to biomedical engineers and genomics researchers at Duke University and the Stanford University School of Medicine. The researchers say that, with the help of machine learning, wearable device data on heart rate, body temperature and daily activities may be used to predict health measurements that are typically observed during a clinical blood test. The study appears in Nature Medicine on May 24, 2021. During a doctor s office visit, a medical worker usually measures a patient s vital signs, including their height, weight, temperature and blood pressure. Although this information is filed away in a person s long-term health record, it isn t usually used to create a diagnosis.

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Study: Wearables devices can predict health measuresments like a blood test

by Michela Kane May 25, 2021 . DURHAM – Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count, according to biomedical engineers and genomics researchers at Duke University and the Stanford University School of Medicine. The researchers say that, with the help of machine learning, wearable device data on heart rate, body temperature and daily activities may be used to predict health measurements that are typically observed during a clinical blood test. The study appears in Nature Medicine on May 24, 2021. During a doctor’s office visit, a medical worker usually measures a patient’s vital signs, including their height, weight, temperature and blood pressure. Although this information is filed away in a person’s long-term health record, it isn’t usually used to create a diagnosis. Instead, physicians will order a clinical lab, which tests a patient’s urine or blood, to gather specific biological

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Data from smartwatches can help predict clinical blood test results

 E-Mail Credit: Michaela Kane, Duke University DURHAM, N.C. Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count, according to biomedical engineers and genomics researchers at Duke University and the Stanford University School of Medicine. The researchers say that, with the help of machine learning, wearable device data on heart rate, body temperature and daily activities may be used to predict health measurements that are typically observed during a clinical blood test. The study appears in Nature Medicine on May 24, 2021. During a doctor s office visit, a medical worker usually measures a patient s vital signs, including their height, weight, temperature and blood pressure. Although this information is filed away in a person s long-term health record, it isn t usually used to create a diagnosis. Instead, physicians will order a clinical lab, which tests a patient s urine or blood, to gather specific

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"The Playbook: Driving adoption" builds trust in digital clinical measurement

Share this article Share this article BOSTON, April 30, 2021 /PRNewswire/  The Digital Medicine Society (DiMe) today announced during a public meeting the launch of new website and materials to promote the use of The Playbook to advance digital clinical measures across healthcare. It includes a refreshed version of The Digital Measures Playbook ( The Playbook ) and over 100 action-oriented resources. The Playbook was first launched in September 2020 and is the essential guide for developing and deploying digital clinical measures to advance patient care, clinical research, and public health. The Playbook, created by the Digital Medicine Society (DiMe), is the foundation for digital clinical measurement and remote monitoring in clinical trials, patient care, and public health.

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