The document discusses key healthcare laws that healthcare administrators need to understand, including the Stark Law, HIPAA, HITECH Act, EMTALA, anti-kickback statute, and GINA. It provides an assignment asking students to analyze a court case where one of these laws was violated by addressing how the violation occurred, implications for the healthcare system, and how the organization can prevent future violations. The assignment requires a 5+ page report following an SESC (State, Explain, Support, Conclude) formula and including references.

1. Examination of Health Care Laws
Introduction
The health law field currently has undergone, and will continue
to undergo, enormous change. Among the multitude of
challenges are legal implications that come with electronic
health records (EHRs), payments based on patient outcomes,
mergers, fraud, insurance disbursements, and antitrust laws—
just to name few. In addition, disruptive medical innovations,
such as biotechnology and treatment research, have created new
concerns over ethics and privacy.
To perform proficiently as a health care administrator, the
current environment requires that you have an understanding of
key health care laws such as the following:
· Stark Law.
· HIPAA for Professionals.
· HITECH Act Enforcement Interim Final Rule.
· Emergency Medical Treatment & Labor Act (EMTALA).
· A Roadmap for New Physicians: Fraud & Abuse Laws; Anti-
Kickback Statute.
· The Genetic Information Nondiscrimination Act of 2008.
Instructions
In this assignment, imagine you work as an administrator in a
hospital or health care organization. You are being considered
for a promotion and are being asked to prepare a report for
senior leadership that demonstrates your knowledge and
interpretation of one of the above-mentioned health care laws.
To complete this report, select a court case where one of these
health care laws was violated. Write an analysis of the law and
the selected case following the SESC formula: State, Explain,
Support, and Conclude. Be sure to also address how
organizational leadership in the selected court case could move
forward to ensure that the health care law isn't violated again in
the future.
Your report should be at least five pages long and should

2. include a title page and references for a total of 7–8 pages.
Grading Criteria
The grading criteria for this report is as follows. It must include
the elements listed below, so be sure to address each point. You
may also want to review the performance-level descriptions for
each criterion in the scoring guide to see how your work will be
assessed:
1. Analyze a court case where a health care law violation
occurred.
2. Analyze the health care law that was violated in the selected
case.
3. Evaluate the implications of the selected law on the health
care system.
4. Recommend how the hospital should protect against another
violation.
5. Support your thesis statement following the SESC formula
(State, Explain, Support, and Conclude).
6. Use at least three peer-reviewed articles less than five years
old.
7. Provide appropriate in-text citations and reference section.
8. Meet clarity, writing mechanics, and formatting
requirements.
CSS 300 Module 1 Lab Activity Worksheet
Use this worksheet to complete your lab activity. Submit it to
the applicable assignment submission folder when complete.
Deliverable:
· Answers to the questions in Part 1
· An image of the results from Part 2Part 1 - Getting to Know a
Dataset
Download the US Weather Events dataset. You can find out
more about this dataset at Kaggle’s US Weather Events (2016-
2019).
Answer these questions to understand the US Weather Events
dataset:

3. 1. Where did the data come from? Is it static, or will it be
updated on a consistent basis? Is it reliable?
2. Check the dimensions of the table. How many columns (aka –
“Features”) are there? How many rows (aka – “records”?
3. What are the data types of each column? Are they
continuous/numeric (numbers with a decimal point)? Are they
integer (whole numbers)? Are they categorical (non-numeric,
often text)?Part 2 – Importing a Dataset in Python
If you need Python follow this link:
1. Import the Pandas package using the Anaconda install option:
https://docs.continuum.io/anaconda/
2. Launch the Anaconda Application on your computer
3. Launch the Jupyter Application within Anaconda
4. Navigate to the folder with the dataset and run a New Python
3 Terminal within Jupyter
5. Import dataset from Part 1 by using the following code:
import pandas as pd
df = pd.read_csv("US_WeatherEvents_2016-2019.csv")
6. Print the data to the screen by using the following code:
df.head()
7. Print more information for the dataset by using the following
code:

4. df.info()
Submit your ipynb file to D2L by the deadline.