Letter to the Editor

1999 ◽  
Vol 4 (3) ◽  
pp. 4-4
Author(s):  
Kathryn Mueller

Abstract This letter responds to “Evaluating impairment from allergic disorders” in the March/April 1999 issue of The Guides Newsletter. The AMA Guides to the Evaluation of Permanent Impairment (AMA Guides) does not provide clear direction about whether allergies themselves constitute impairment. Consider a worker whose symptoms of asthma subsequent to workplace exposure to toluene diioscyanate resolve when he or she is removed from the job and is no longer exposed to the chemical. Because everyday exposure to diisocyanates is not common and the patient no longer requires medication, one could conclude the patient has no impairment. In contrast, consider a patient who has developed latex allergies as a result of being a health care worker and has experienced two anaphylactic reactions at work after entering rooms where powdered latex gloves had been used and must travel with an epinephrine pen. This person would have a minimum of a Class I impairment because of the few limitations of this person's activities of daily living (ADLs) and the condition requires no or intermittent treatment. Both patients might feel they had permanent changes in their body functions that required permanent changes in their ADLs. Clinicians who make evaluations should be aware of patients’ need for medications or monitoring, the severity of the patient's reactions, and limitations on social activities (eg, need for medications and need to avoid seasonal pollens).

2020 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
Muchun Su ◽  
Diana Wahyu Hayati ◽  
Shaowu Tseng ◽  
Jiehhaur Chen ◽  
Hsihsien Wei

Health care for independently living elders is more important than ever. Automatic recognition of their Activities of Daily Living (ADL) is the first step to solving the health care issues faced by seniors in an efficient way. The paper describes a Deep Neural Network (DNN)-based recognition system aimed at facilitating smart care, which combines ADL recognition, image/video processing, movement calculation, and DNN. An algorithm is developed for processing skeletal data, filtering noise, and pattern recognition for identification of the 10 most common ADL including standing, bending, squatting, sitting, eating, hand holding, hand raising, sitting plus drinking, standing plus drinking, and falling. The evaluation results show that this DNN-based system is suitable method for dealing with ADL recognition with an accuracy rate of over 95%. The findings support the feasibility of this system that is efficient enough for both practical and academic applications.


Author(s):  
S L Holgate ◽  
A Dramowski ◽  
M van Niekerk ◽  
H Hassan ◽  
Y Prinsloo ◽  
...  

Abstract Following exposure to a health care worker with an influenza-like illness, two preterm neonates and six staff members developed symptoms and tested positive for SARS-CoV-2. This neonatal unit COVID-19 outbreak occurred prior to implementation of universal masking and symptom screening policies. Both neonates and all staff recovered, with no further healthcare-associated SARS-CoV-2 transmission following implementation of effective outbreak containment measures.


2021 ◽  
Vol 63 (1) ◽  
Author(s):  
Takahiro Matsuo ◽  
Fumika Taki ◽  
Daiki Kobayashi ◽  
Torahiko Jinta ◽  
Chiharu Suzuki ◽  
...  

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