Sentence examples for practitioners testing from inspiring English sources

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Design practitioners testing the HIS showed that ideation was well supported in synchronous, individual or team settings.

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Given that early intervention is advocated, that musculoskeletal conditions are a common cause of work absence and that many individuals seek their healthcare initially from their primary care practitioner, testing a service located in primary care that can address work issues early on in patients with musculoskeletal conditions is appropriate.

Practitioners test muscle strength in order to diagnose health problems; it's a refuge for those skeptical and weary of mainstream medicine.

In the DEC ,practitioners test new information, called knowledge claims (such as new evidence-based innovations), by integrating it into work decisions.

Dr. Fairfield, like many other general practitioners, began testing patients, trying to make sure they raised their vitamin D levels above 29 and became concerned that she and other doctors had been too cavalier about the vitamin.

Objective To assess the effect of general practitioner testing for C reactive protein (disease approach) and receiving training in enhanced communication skills (illness approach) on antibiotic prescribing for lower respiratory tract infection.

Trained in the specific health needs of LGBT patients, the nurse practitioners can test for specific cancers, HIV and other sexually transmitted diseases and they ask transgender patients about hormone therapy, which can interact with other drugs or have side effects.

By the end of last week, the government was deciding to allow private medical practitioners to test the flu symptoms.

General Practitioners will test men who identify as gay or bisexual on an annual basis, but a woman is only tested if identified as high-risk or presenting the symptoms of late-stage HIV.

An advantage of the model over more sophisticated ones is that public health practitioners can test quite easily the sensitivity of the model to changes in input variables about which they are unsure.

This leads to overestimation of the area under the ROC curve as the variables used to predict risk are similar to those that might lead practitioners to test for diabetes.

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