Data Engineering Practical Connection Essay

Practical Connection Assignment

At University, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making.

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This is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career.

Note: This assignment connection assignment must relate to your reflections and learnings in this course, and will be assessed accordingly.


Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied in a practical manner to your current work environment.

Share connection that identifies specific knowledge and theories from this course.

Demonstrate a connection to your current work environment.

should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.

The purpose of this presentation assignment is to research emerging technologies that impact businesses and society and how individuals, businesses, and government organizations go about protecting users in the cyberworld. The technologies we focus on in this research are in telecommunications, the Internet, and wireless technologies. These technologies improve the human workforce, bring value not only to frontline workers but also entire organizations, and change the industrial landscape.

This assignment will help to develop your critical thinking and research skills as you research each of these scenarios. You will review each case study and create a PowerPoint presentation that provides a thorough analysis and a demonstrates your synthesis of the concepts presented in units III and IV.

Based on your reading of the case study “Does Big Data Provide the Answer?” from Chapter 6, address the prompts below in a minimum of four slides.

Explain the term big data in your own words.
Discuss how Amazon, YouTube, and Spotify used big data to better serve their customers.
Describe the limitations of using big data.
Discuss at least one ethical or security issue that big data can pose to individuals.
After reviewing the case study “The Internet of Things Aids Waste Management” from Chapter 7 of your eTextbook, create at least three slides for your presentation that address the prompts below.

Identify the problem described in this case study. Is it a management problem, an organizational problem, or a technology problem? Explain your answer.
What role has information technology and the IoT played in helping cities deal with their waste management problems? Describe the IT applications that are being used for this purpose.
How successful are these IT applications as a solution? Explain your answer.
Next, review the case study “Google, Apple, and Facebook Battle for Your Internet Experience” from Chapter 7, and address the prompts below in at least four slides.

Explain what is meant by mobile technology.
Discuss how telecommunications and mobile technology networks are vital to companies and how they are fundamentally changing organizational strategies.
Discuss the mobile strategy used by Google, Apple, and Facebook.
Discuss at least two challenges posed by the Internet and networking.
Finally, review the case study “Capital One: A Big Bank Heist from the Cloud” from Chapter 8, and address the prompts below in at least four slides.

Discuss at least two security threats to cloud data.
What should companies do to protect cloud data?
Discuss why both the company and the cloud vendor are responsible for security.
Discuss at least one security control that companies can use to increase security.
In formatting your PowerPoint presentation, do not use the question-and-answer format; instead, use bullets, graphs, and/or charts in your slides to identify important points, and then discuss those points in the speaker notes of each slide. The speaker notes section of each slide should not repeat slide information, but serve as an area in which you augment or elaborate on slide information so that your audience has a better understanding of the material. You must have a minimum of 100 words in the Speaker Notes section of each content slide.

Your PowerPoint presentation should be a minimum of 15 slides in length (not counting the title and reference slides). You are required to use a minimum of two peer-reviewed, academic sources that are no more than 5 years old to support each case study. You may use your eTextbook once in each case study. All sources used, including the eTextbook, must be referenced; all paraphrased material must have accompanying in-text citations. At least two sources must come from the CSU Online Library. APA style and formatting is required.Complete three EHR Go activities relating to medication reports, order verification, and risks and clinical warnings. Write a reflection paper (1-page) addressing key lessons learned relating to EHR accuracy and standards, data mining, and legal and ethical considerations surrounding EHR-CDS usage.Data mining is the process of discovering and extracting patterns within a set of data. Its main goal is to transform data into meaningful information, typically for decision-making purposes. Identifying patterns within data helps to depict the data and to predict future behaviors or patterns. Information such as this helps to improve quality of care, reduce costs, and support organizational services, such as disease management and resource utilization. Historically, conducting this kind of research was extremely labor intensive. With the advent of electronic health record systems and clinical decision support (CDS) systems, health care professionals now have access to large volumes of highly standardized and electronically stored data.One type of CDS system involves itemizing a set of symptoms and circumstances and then searching the potential range of diagnoses as the source of those symptoms. A set of internal organizational guidelines govern the use of these activities within the CDS system. The high-level concept is to build an application capable of integrating the information and then identifying a potential diagnosis in the same way a human expert would make a diagnosis. A wide range of potential ethical and legal issues relate to the creation, implementation, and use of CDS systems. Clinical decision support assists with analyzing and interpreting health data and then offering recommendations based on that data. An example of a legal and ethical issue related to the proper use of these systems involves practitioners’ ethical responsibilities. Do practitioners fully understand the implications of following the software recommendations when treating a patient?The three EHR Go activities that form the bulk of this assessment show that data analysts need to be knowledgeable about a large amount of material. At the same time, it’s not sufficient to have a grasp of this information in isolation. Professional data analysts need to be able to integrate this information into a meaningful whole. They need to be able to see the big picture. How do the pieces of information relate to each other? As an example, incorrect data in the health record affects data mining activities. This, in turn, affects statistical results, which may result in a bad clinical decision. Alerts, warnings, and recommendations exist to help improve documentation but care also needs to be taken to ensure data security. In this third course assessment, you will complete EHR Go activities related to EHR accuracy and standards, data mining activities used to extract useful information for improving patient care, and the legal and ethical considerations surrounding EHR and CDS usage. In the second part of this assessment, you will integrate the key takeaways you’ve learned from completing the activities into a meaningful whole by writing a brief reflection paper. Demonstration of Proficiency
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:
Competency 1: Examine analytics and decision support.
Recognize internet, cybersecurity, and mobile device security threats, including the sharing of patient information without written consent.
Describe strategies for developing standards and guidelines to protect electronically accessible health information.
Competency 2: Apply report generation technologies to facilitate decision making.
Explain data mining’s role in measuring CDS systems’ accuracy and efficiency and in generating reports.
Recommend EHR-CDS functions that support effective clinical decision making relating to medication.
Competency 4: Apply data extraction methodologies.
Use EHR-CDS functions to create a medication report based on patient chart information.
Use EHR-CDS functions to assess potential contraindications, and warnings and precautions information.
Competency 5: Evaluate data used for medical staff credentialing.
Describe a clinician’s role in overriding CDS system information.
Competency 6: Communicate effectively in a professional manner.
Write clear, well organized, professional documents that are generally free of errors in grammar, punctuation, and spelling.
Follow APA style and formatting guidelines for citations and references.
Independent Research
If you are less familiar with EHRs and CDS systems, you may wish to conduct additional independent research. The suggested resources provide a good starting point. You may also wish to consult the Health Care Administration Undergraduate Library Research Guide for research tips and help in identifying current, scholarly and/or authoritative sources. Instructions
Your third assessment consists of two parts:Part 1: Complete these three EHR Go activities
These three activities form the bulk of this assessment:
For this first activity, you will use EHR-CDS functions to create a medication report based on patient chart information. You will then use the created report to make recommendations about how to improve EHR-CDS functions for more effective clinical decision making.
EHR Go: Medication Report.
Enter your answers for this activity directly into a Word document. Also, copy and paste the medication report into the same Word document.
In the second activity, you will use clinical decision support functions, such as CPOE, to enter physician medication orders.
EHR Go: Verifying Orders.
Add your answers for this activity directly into the Word document you’ve created for your EHR Go activities.
In the third EHR Go activity, you will analyze a physician’s actions, document an EHR, and recommend physician performance requirements for using EHR clinical decision functions. The recommendations and standards will focus on physician order entry, medication warnings, and alerts.
EHR Go: Risks and Clinical Warnings
Add your answers for this activity directly into the Word document you’ve created for your EHR Go activities.
You will create one document that contains your answers to each of the three activities. Remember to copy and paste the medication report you created for the first activity into your document.Part 2: Write a one-page reflection paper on the topics covered in the EHR Go activities
Be sure to address these three questions in your reflection paper:
What is the relationship between the three EHR Go activities you completed? In other words, how do the concepts you learned relate to each other?
What were your two or three most important takeaways about the concepts of EHR accuracy and standards, data mining, and legal and ethical considerations?
What is a remaining question you have about these concepts?


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