Data Science

During the past 6 weeks, you have been introduced to multiple knowledge areas, including health data quality, access, retention, data sets, and electronic health records. In addition to assessing some of the knowledge about EHRs and EHR standards, this week we will review some important concepts, which you will also see in the final exam. You may start the review by selecting one of the questions below. Please try to read the answers prior to yours and try to address a different question in order to make the midterm exam review more complete and meaningful. Some more new questions will be added throughout the week. What is the purpose and value of the EHR standards? Illustrate by briefly describing one of them, such as HL7, ASTM E1384-07, LOINC, or RxNorm. What is the importance of clinical decision support systems and what integration or interfaces need to be in place for it to work effectively? What are some policies, processes, or rules that need to change as an organization transitions from the paper or hybrid environment to a fully electronic health record? What are the data sets? Select one of the existing health data sets and discuss its value in improving population health or healthcare delivery in the US. Explain electronic document management systems along with brief explanations of their components. For more information on Health Data Quality read this: https://en.wikipedia.org/wiki/Data_quality

Case Study: Proposing a Data Gathering Approach at TLG Solutions (pages 171 – 175)Read the TLG Solutions case and consider the following questions:1. What is the client requesting, and what goal does the client have for this project?2. What are the presenting problems?? What do you believe may be any underlying problems?? Which of these underlying problems is most likely? Why?3. What data would illustrate whether these underlying problems are occurring?? Which method of data gathering would you use and why? (Consider using the method of analysis shown in Table 7.2.)4. Write a proposal that explains what data you will gather through what means (interviews, surveys, focus groups, observations, and/or unobtrusive measures). Include any questions you might ask, observations you would undertake, and/or documents you would want to gather.5. What are the advantages and disadvantages of your data gathering choice(s)?6. Include a rationale and proposed timeline for your approach and any details about the data gathering method itself, including possible interview or survey questions, documents to gather, or observations you would conduct.7. Finally, ensure that your proposal addresses any additional contracting needs you may have in your relationship with Greenfield.MIN 8 PEER review REFERENCES For more information on Data Gathering  read this: https://en.wikipedia.org/wiki/Data_collection

Discuss The Application Of Data To Problem-Solving For more information on Data read this: https://en.wikipedia.org/wiki/Data

Requirements 1) APA 6th Ed format 2 ) Due 28 Nov  3) 3-4 Pages (not including title page and references) 4) 3 References 5) Plagiarism-Free Assignment Discuss a database system used in a company or an organization (It could be your organization or any other organization). Your paper should cover the following topics: Why it is necessary to use a database system? What kinds of information this database system collect? and what information it provides? Which database management system is used? Access? Oracle? DB2 …? Why or why not it is a good choice? Any other topics you would like to discuss related to this database system? Your paper should be 3-4 pages in length, and reflect your personal experiences with this issue.

Do some research and statistics on Facebook. Like their target audience, strengths/weaknesses for company usage, the main ways company’s use the platform to connect with users, etc. 

Question of original discussion-  After studying this week’s assigned readings, discuss the following:1.  What are the business costs or risks of poor data quality? Support your discussion with at least 3 references.2.  What is data mining? Support your discussion with at least 3 references.3.  What is text mining? Support your discussion with at least 3 references. Please use APA throughout. Read and respond to at least two (2) of your classmates (attached below). In your response to your classmates, consider comparing your articles to those of your classmates. Below are additional suggestions on how to respond to your classmates’ discussions: Ask a probing question, substantiated with additional background information, evidence, or research. Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives. Offer and support an alternative perspective using readings from the classroom or from your own research. Validate an idea with your own experience and additional research. Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings. Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.150 words for each author. APA format. 

 A few weeks ago, many of you completed your research projects on NoSQL, open-source, or OO databases. What are some of the advantages that OO Databases offer that even the most advanced RDBMS cannot offer in the enterprise setting? Please provide three advantages and provide a business use case illustrating these examples. 

To enhance the security of information systems, enterprises are developing and adopting information system management systems. However, if an information management system is exploited, applications and the data they contain will be compromised. Therefore, it is important to perform a comprehensive security analysis throughout the enterprise. In your own words explain the purpose of a ‘security analysis’,  Please state your answer in a  2 page paper in APA format.  Include citations and sources in APA style. For more information read this: https://en.wikipedia.org/wiki/Security_analysis 

Chapter Eight (8): Information Governance and Legal Functions: According to the authors, Smallwood, Kahn, and Murphy, IG is perhaps one of the functional areas that impact legal functions most. Failure to meet them could be literally put an organization out of business or land executives in prison.   Privacy, security, records management, information technology (IT), and business management functions are very important.  However, the most significant aspect of all of these functions relates to legality and regulatory compliance from a critical perspective.  Q1: When we take a close look at the author’s point of view, under the Federal Rules of Civil Procedures (FRCP) amendments dating back to 1938 there has been governance and the discovery of evidence in lawsuits and other civil cases.  Please name and briefly discuss the three (3) reasons why corporations must proactively manage the e-discovery process?Chapter Nine (9): Information Governance (IG) and Records and Information Management Functions.  From the Chapter, we have learned from that Records Management (RM) is a key impact area of IG – so much that in the RM space, IG is often thought of as synonymous with or a single superset of RM.  From that perspective, the International Organization for Standardization (ISO) defined business records as “information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations or in the transaction in the form of records.” Q1: To further enhance our knowledge and understanding of RM, ISO provided a more refined definition of RM to a granular level as “[the] field of management responsible for the efficient and systematic control of what…? Identify and complete the missing phrase to directly complete the granular definition?

Refer to the company you researched in the “Wk 1 Discussion – Security Policies” and review the data classification schemes in use within that company’s industry. In 175 words or more discuss the following: How difficult was the classification scheme to locate? Why might that be? What are the classification levels in place? How do they vary depending on the different industries? Are the types of data classified the same in each industry? Should they be the same in each type of organization?