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Home Tags Medical Technology: Misc.

Tag: Medical Technology: Misc.

Certain genetic diseases can be detected by new artificial intelligence technology that analyzes a photo of a person's face

AI Technology IDs Genetic Diseases by Analyzing Facial Photos

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DeepGestalt technology better than doctors at identifying a range of genetic syndromes
In adolescent patients with Duchenne muscular dystrophy

Home Monitoring of Lung Function Feasible in Teens With Duchenne

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Peak flow meter handheld device useful for adolescents with Duchenne muscular dystrophy
The incidence of phlebitis caused by peripheral intravenous cannula insertions may be higher among patients with certain risk factors

Study Reveals High Rate of Phlebitis Caused by IV Cannulas

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Rates of other complications similar to those in previously published reports
Home oxygen users often experience problems related to their oxygen equipment that may impact their quality of life

Home Oxygen Users Experience Problems Related to Equipment

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Health care providers report lack of readily accessible resources for prescription of oxygen systems
From 2005 to 2017

Growth in Use of Telemedicine Seen From 2005 to 2017

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Significantly faster increase in use of telemental health services seen in counties with no psychiatrists
Stress related to use of health information technology is common and predictive of burnout among physicians

HIT-Related Stress Linked to Burnout Among Physicians

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Odds of burnout up with report of poor/marginal time for documentation, time spent on EHR at home
Only 15.4 percent of physicians work in practices that use telemedicine for a wide spectrum of patient interactions

Few Physicians Work in Practices That Use Telemedicine

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Specialty and larger practice size are correlates of telemedicine use
The U.S. Department of Health and Human Services has developed a draft strategy to reduce the health information technology burden

HHS Issues Draft Strategy for Reducing Health IT Burden

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Strategy is open for public comment through Jan. 28, 2019
A deep learning algorithm

Deep Learning Algorithm Detects Thoracic Pathologies on CXRs

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CheXNeXt achieves radiologist-level performance for 11 pathologies on frontal-view chest radiographs
Artificial intelligence tools trained to detect pneumonia on chest X-rays have decreased performance when tested on data from outside health systems

Performance of AI Dx Tools May Suffer Across Health Systems

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Performance for a pneumonia detection tool fell when applied at outside health systems