Anesthesiologist Assistant in Kingwood, TX Accepting Medicare
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 Joshua Kent Thom, Anesthesiologist Assistant Medicare: Medicare Enrolled Practice Location: 808 Russell Palmer Rd Ste 151, Kingwood, TX 77339 Phone: 281-540-7500 |
News Archive
GlobalData: Patients treated for ICU delirium will increase as COVID-19 outbreak continues
An estimated 70–80% of ventilated patients will experience ICU delirium, which causes patients to enter a confused state and can lead to long-term cognitive impairments and memory deficits. GlobalData, therefore, expects to see an increase in the administration of pharmacological treatments for ICU delirium as the COVID-19 outbreak continues.
Cirrhosis patients with low musle mass more apt to die
Medical researchers at the University of Alberta reviewed the medical records of more than 100 patients who had a liver scarring condition and discovered those who were losing muscle were more apt to die while waiting for a liver transplant. These cirrhosis patients were placed at a lower spot on the transplant list because they had a higher functioning liver and were seemingly less sick than others with the same condition, based on scoring systems physicians commonly use today.
Forum sets goal for achieving widespread adoption, meaningful use of EHRs by 2014
The following joint statement, by the National Coordinator for Health Information Technology, David Blumenthal, M.D., M.P.P., and the Centers for Medicare & Medicaid Services' Principal Deputy Administrator Marilyn Tavenner, was issued today at a forum, "Accelerating Electronic Health Records Adoption and Meaningful Use."
Domestic water hardness linked to eczema risk in children
High levels of water hardness in the home may be linked to the development of eczema early in life, according to a new study led by King's College London.
AI in medical space must be carefully tested for performance across wide range of populations
Artificial intelligence tools trained to detect pneumonia on chest X-rays suffered significant decreases in performance when tested on data from outside health systems, according to a study conducted at the Icahn School of Medicine at Mount and published in a special issue of PLOS Medicine on machine learning and health care.
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