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Reference ranges (reference intervals) for blood tests are sets of values used by a health professional to interpret a set of medical test results from blood samples. Reference ranges for blood tests are studied within the field of clinical chemistry (also known as "clinical biochemistry", "chemical pathology" or "pure blood chemistry"), the ...
A blood test is a laboratory analysis performed on a blood sample that is usually extracted from a vein in the arm using a hypodermic needle, or via fingerprick. Multiple tests for specific blood components, such as a glucose test or a cholesterol test , are often grouped together into one test panel called a blood panel or blood work .
A complete blood count (CBC), also known as a full blood count (FBC), is a set of medical laboratory tests that provide information about the cells in a person's blood.The CBC indicates the counts of white blood cells, red blood cells and platelets, the concentration of hemoglobin, and the hematocrit (the volume percentage of red blood cells).
Clinical laboratory in a hospital setting showing several automated analysers.. A medical laboratory or clinical laboratory is a laboratory where tests are conducted out on clinical specimens to obtain information about the health of a patient to aid in diagnosis, treatment, and prevention of disease. [1]
The National Council Licensure Examination (NCLEX) is a nationwide examination for the licensing of nurses in the United States, Canada, and Australia since 1982, 2015, and 2020, respectively. [2] [3] There are two types: the NCLEX-RN and the NCLEX-PN. After graduating from a school of nursing, one takes the NCLEX exam to receive a nursing license.
Nursing assessment is the gathering of information about a patient's physiological, psychological, sociological, and spiritual status by a licensed Registered Nurse. Nursing assessment is the first step in the nursing process. A section of the nursing assessment may be delegated to certified nurses aides.
For the figure that shows high sensitivity and low specificity, there are 3 FN and 8 FP. Using the fact that positive results = true positives (TP) + FP, we get TP = positive results - FP, or TP = 40 - 8 = 32. The number of sick people in the data set is equal to TP + FN, or 32 + 3 = 35. The sensitivity is therefore 32 / 35 = 91.4%.
The typical response to such a scenario is to add 0.5 to all cells in the contingency table, [1] [7] although this should not be seen as a correction as it introduces a bias to results. [5] It is suggested that the adjustment is made to all contingency tables, even if there are no cells with zero entries.