By Anuja Vaidya
October 31, 2023 – Receiving care from medical practices with higher telehealth use is associated with an increase in mental health visits among Medicare patients with serious mental illness, according to a new…
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By Shania Kennedy
October 25, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to a…
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By Sara Heath
October 24, 2023 – Homelessness remains a key social determinant of health, with researchers from the University of California, San Francisco, revealing that individuals who are homeless are 16 times more likely to…
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About 1 in 3 people with atrial fibrillation — the most common type of heart rhythm disorder — do not know they have the condition, which is problematic considering it increases the risk of…
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Dr. Frank Fornari, Founder and Chairman, BioMech Functional balance is a critical health metric. One-quarter of seniors – about 36 million – will fall each year in the U.S. and more than 36,000 of…
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By Anuja Vaidya
October 19, 2023 – Using telehealth to begin opioid use disorder (OUD) treatment is linked to high retention in treatment among Medicaid beneficiaries, according to a new study.
Published in JAMA Network Open, the…
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By Sara Heath
October 17, 2023 – A dementia diagnosis is going to cost you, with new data from the University of Michigan showing that individual personal wealth dropped after a diagnosis while out-of-pocket healthcare costs…
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By Hannah Nelson
October 09, 2023 – Patients from racial and ethnic minority groups were more likely to receive a lower amount of EHR engagement during inpatient stays compared to White patients, according to a study published…
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By Anuja Vaidya
October 05, 2023 – An mHealth intervention delivered by clinical pharmacists and health coaches helped improve blood glucose levels among Black and Latino adults with type 2 diabetes, according to a new study.
Published…
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By Shania Kennedy
September 22, 2023 – Researchers demonstrated that a machine learning (ML) model could effectively predict short- and long-term suicidal ideation in sexual and gender minority individuals using ecological momentary assessment data, per a…
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