Answer:
I believe that the answer would be true
There is a need for so many blood tests after initiation of the therapy for antibiotic intravenous piggyback twice a day for a client with an infection is to determine adequate dosage levels of the drug.
An intravenous piggyback could be a tiny bag of answer connected to a primary infusion line or intermittent blood vessel access device to deliver medication over a given amount of your time. This "piggyback" technique suggests that the patient doesn't need multiple IV sites.
A test done on a sample of blood to live the number of sure substances within the blood or to count differing kinds of blood cells. Blood test is also done to appear for signs of illness or agents that cause illness, to see for antibodies or tumour markers, or to visualize however well treatments are operating.
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Answer:
True
Explanation:
It also causes liver problems
Answer:
Patients medical history and records are meant to be confidential. The coders discussing on the diagnosis listed on a patient’s file and commenting on the patient’s past social history in relation to the diagnosis listed in the medical record is totally unacceptable.
I would make sure I warn them to desist from going against the ethics of the profession or make up evidences and report them to the relevant authorities.
I love statistics So I will use The principles of it
![\begin{cases}\\ \dag \: \underline{\Large\bf Formulas\:of\:Statistics} \\ \\ \bigstar \: \underline{\rm Mean:} \\ \\ \bullet\sf M=\dfrac {\Sigma x}{n} \\ \bullet\sf M=a+\dfrac {\Sigma fy}{\Sigma f} \\ \\ \bullet\sf M=A +\dfrac {\Sigma fy^i}{\Sigma f}\times c \\ \\ \bigstar \: \underline{\rm Median :} \\ \\ \bullet\sf M_d=\dfrac {n+1}{2} \:\left[\because n\:is\:odd\:number\right] \\ \bullet\sf M_d=\dfrac {1}{2}\left (\dfrac {n}{2}+\dfrac {n}{2}+1\right)\:\left[\because n\:is\:even\:number\right] \\ \\ \bullet\sf M_d=l+\dfrac {m-c}{f}\times i \\ \\ \bigstar \: {\boxed{\sf M_0=3M_d-2M}}\end {cases}](https://tex.z-dn.net/?f=%20%5Cbegin%7Bcases%7D%5C%5C%20%20%5Cdag%20%5C%3A%20%5Cunderline%7B%5CLarge%5Cbf%20Formulas%5C%3Aof%5C%3AStatistics%7D%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%5Cunderline%7B%5Crm%20Mean%3A%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M%3D%5Cdfrac%20%7B%5CSigma%20x%7D%7Bn%7D%20%5C%5C%20%5Cbullet%5Csf%20M%3Da%2B%5Cdfrac%20%7B%5CSigma%20fy%7D%7B%5CSigma%20f%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M%3DA%20%2B%5Cdfrac%20%7B%5CSigma%20fy%5Ei%7D%7B%5CSigma%20f%7D%5Ctimes%20c%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%5Cunderline%7B%5Crm%20Median%20%3A%7D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M_d%3D%5Cdfrac%20%7Bn%2B1%7D%7B2%7D%20%5C%3A%5Cleft%5B%5Cbecause%20n%5C%3Ais%5C%3Aodd%5C%3Anumber%5Cright%5D%20%5C%5C%20%5Cbullet%5Csf%20M_d%3D%5Cdfrac%20%7B1%7D%7B2%7D%5Cleft%20%28%5Cdfrac%20%7Bn%7D%7B2%7D%2B%5Cdfrac%20%7Bn%7D%7B2%7D%2B1%5Cright%29%5C%3A%5Cleft%5B%5Cbecause%20n%5C%3Ais%5C%3Aeven%5C%3Anumber%5Cright%5D%20%5C%5C%20%5C%5C%20%5Cbullet%5Csf%20M_d%3Dl%2B%5Cdfrac%20%7Bm-c%7D%7Bf%7D%5Ctimes%20i%20%5C%5C%20%5C%5C%20%5Cbigstar%20%5C%3A%20%7B%5Cboxed%7B%5Csf%20M_0%3D3M_d-2M%7D%7D%5Cend%20%7Bcases%7D)
