· Claim rejections are often the result of human error, and can easily be avoided. Manually checking claims before they're submitted to the insurance payer can be a time-consuming process, and claims re-work due to rejections can be costly. The AMA has identified these as the most common medical coding errors.
The essential elements that the tool should assess on the patient will be:
b) High-risk medications
d) Symptoms of dizziness
e) Altered elimination
<h3>How to explain the information?</h3>
It should be noted that the older adult patient has been admitted for a hip fracture and the nurse is assessing fall risk with a fall risk tool
In this case, the tool should assess High-risk medications, symptoms of dizziness and altered elimination.
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An older adult patient has been admitted for a hip fracture. The nurse is assessing fall risk with a fall risk tool. What essential elements should the tool assess? (Select all that apply.)
a) Mental and emotional status
b) High-risk medications
c) Nutritional status
d) Symptoms of dizziness
e) Altered elimination
A man wakes up after eight hours of normal sleep and has an unbroken range of his blood pressure gauge. There is a good chance that the man has no sleep disturbances.
<h3>Snap*Gauge® </h3>
Snap*Gauge® is a non-prescription device used by the patient during sleep to determine if a patient breaks pre-set snap-gauges with different release-force constants. The number of brands broken will indicate the intensity of the patient's nighttime erections.
With this information, we can conclude that a man wakes up after eight hours of normal sleep and has an unbroken range of his blood pressure gauge. There is a good chance that the man has no sleep disturbances.
Learn more about snap-gauges in brainly.com/question/13025850
Answer:
paired t-test
Explanation:
The paired t-test is used for samples or variables that belong to the same individual or entity under study. Recall that; if the experiment is to be carried out with each experiment unit being measured twice, then giving an outcome of pairs of observations; Hence, we apply the paired t-test.
