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1 year ago

Impact of federal legislation on case management

2 answers:

7 0

The impact of federal legislation on case management are that onsists of steerage on how the courts are coming near case-control selections and coping with non-compliance.

<h3>What is the code of ethics in case-control?</h3>

The primary goal of The Code of Professional Conduct for Case Managers is to shield the general public interest. Accordingly, the Code includes Principles, Rules of Conduct, and Standards for Professional Conduct, in addition to the CCMC Procedures for Processing Complaints.

Definition of FISMA Compliance The Federal Information Security Management Act (FISMA) is a United States federal regulation exceeded in 2002 that made it a demand for federal groups to develop, document, and enforce an facts protection and safety program.

Read more about the federal legislation on case management:

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anygoal [31]1 year ago

4 0

<h3>autonomy, beneficence, nonmaleficence, and justice</h3>

Case management is guided by the principles of autonomy, beneficence, nonmaleficence, and justice. Case managers come from different backgrounds within health and human services professions including nursing, medicine, social work, rehabilitation counseling, workers' compensation, and mental and behavioral health.

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Q 1.8: How would an individual living in a collectivist culture define sincerity?

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If the wait time is less than 30 minutes for 75% of all patients in the emergency room, what is the probability that the

Greeley [361]

The probability that the proportion of patients who wait less than 30 minutes is 0.582 or less is 0.0020

<h3>What is probability? </h3>

Probability can be defined as the likelihood of an event to occur. In statistics, the mean of the sample distribution typically shows the probability of the population.

From the parameters given:

The sample size (n) = 55 patients
Let's assume that the mean (x) = 32 (i.e. 58.2%) of the patients

The sample proportion $\mathbf{\hat p}$ can be computed by using the expression:

$\mathbf{\hat p = \dfrac{x}{n}}$

$\mathbf{\hat p = \dfrac{32}{55}}$

$\mathbf{\hat p =0.582}$

If the percentage of the probability of all patients in the emergency room = 0.75

The probability that the proportion of patients who wait less than 30 minutes is 0.582 or less can be computed as:

$\mathbf{( \hat P \leq 0.582) = P \Big( \dfrac{\hat p - p}{\sqrt{\dfrac{p(1-p)}{n}}} \leq \dfrac{0.582 - 0.75}{\sqrt{\dfrac{0.75(1-0.75)}{55}}} \Big )}$