HIM4630 Statistical Analysis for Health Information Management
Unit 1 Discussion
DQ1 Relevance of Statistics
This unit has emphasized that statistics are used in almost every aspect of our lives. Based on your readings, explain how relevant you think statistics are. Provide an example of how statistics may be applied or used in a common daily activity.
Your initial post should be at least 150 words and must include at least one in-text citation and its related reference, both following APA style.
DQ2 Understanding Statistics
Using statistics in the health care industry requires a foundational understanding of the statistics and their users. In this discussion, you will apply your understanding of statistics to solve a problem faced by a data analyst in a health care setting.
Imagine that you are a new data analyst. You have replaced analysts who did not organize their office or resources, nor did they leave any written notes or procedures. Nevertheless, you must discover each employee’s productivity and accuracy rates. Explain how you would collect data and calculate statistics and rates to ensure that each employee meets productivity and quality standards.
Your initial post should be at least 150 words and must include at least one in-text citation and its related reference, both following APA style.
HIM4630 Statistical Analysis for Health Information Management
Unit 2 Discussion
Data Collection Methods
The article, “Keeping Count: Births, Deaths, and Causes of Death” linked in the Resources discusses why keeping accurate, complete, and consistent statistics is important. Review these reasons and devise a recommendation for standardizing data collection methods.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 3 Discussion
Dq1 Classifying Data as Health Care Evolves
The article, “Data Standards, Data Quality, and Interoperability (Updated)” linked in the Resources was originally published in 2007. It was updated in 2013. Review both versions of the article, looking for similarities and differences. Write a post in which you will explain why you think it was necessary to update the content, relying upon what you have learned about data classification and the evolving health care industry. Refer specifically to the articles to support your discussion.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
DQ2 Data Classification
Health care organizations manage large volumes of personally identifiable information (PII), also known as personal health information (PHI), which is subject to special requirements for privacy and security. Data classification is a practice that can help health care organizations meet the challenges of access and security of PII. Explain how data classification can assist with access and security challenges, particularly in relation to the use of data for health information management functions. Provide at least one example from readings and research.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 4 Discussion
Data Standards and Data Integration
Assume the role of data analyst for Vila Health, which just acquired a health care system consisting of 21 small hospitals. These hospitals are in different geographical locations. Collect data on different systems and use different platforms. Write a post in which you discuss how the development of data standards can help Vila Health integrate data systems at its newly acquired institutions.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 5 Discussion
Benchmarking in Health Care
Benchmarking in health care is a fairly new concept, compared to its historical use in other industries. Review the article, “Benchmarking in Hospitals: More Than a Scorecard,” linked in the Resources. Pay particular attention to the discussion of how benchmarking can be used to support performance in a health care organization.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 6 Discussion
DQ1 Data Sharing Policies
Technology has afforded many improvements in the health care industry, primarily in the access to data and information, also known as data sharing. At the same time, the industry is confronted with the important issue of protecting patient privacy. One way to address patient privacy issues is with the implementation of policies and procedures.
Imagine that the Vila Health system is continuing to grow and has opened four new offices located across the United States, in addition to the 21 facilities acquired earlier in the year. Each office uses a different a computer system. There is currently no interoperability between systems. The executive management team realizes how inefficiently and ineffectively the network operates. You have been asked to provide a summary of recommendations to implement a cohesive data-sharing process, specifically related to workstation use.
Describe at least two recommendations that can be implemented for a cohesive data-sharing process and offer a type of policy or procedure that could support the recommendations.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
DQ2 Protecting Patient Privacy
The health care industry is consistently confronted with the important issue of protecting patient privacy. Read the case example, “HMO Revises Process to Obtain Valid Authorizations,” linked in the Resources. In reference to the case, discuss why data and information sharing can be difficult in relation to protecting patient information. Include some solutions that are used to resolve these difficulties.
A complaint alleged that a health maintenance organization (HMO) impermissibly disclosed a member’s PHI when it sent her entire medical record to a disability insurance company without her authorization. An Office for Civil Rights (OCR) investigation indicated that the form the HMO relied on to make the disclosure was not a valid authorization under the Privacy Rule. Among other corrective actions to resolve the specific issues in the case, the HMO created a new HIPAA-compliant authorization form and implemented a new policy that directs staff to obtain patient signatures on these forms before responding to any disclosure requests, even if patients bring in their own authorization form. The new authorization specifies what records or portions of the files will be disclosed; the respective authorization will be kept in the patient’s record, together with the disclosed information.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 7 Discussion
Data Model
Search the web for the job description of a data analyst and a database administrator. Compare the roles and responsibilities of each and provide an example of how and why they may use data models. Attach a copy of each job description.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 8 Discussion
DQ1 Data Sampling
Data sampling is a common strategy used to assess and draw conclusions about a larger group of data. However, the process should be approached with caution. Review the CDC’s sample statistics on the “Emergency Department Visits,” linked in the Resources. Discuss the key elements or guidelines for accurately sampling data, as well as associated risks and benefits of sampling. Provide an example from the CDC data.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
DQ2 Data Surveys
Vila Health conducted a survey on the time patients had to wait in the emergency room (ER) before being seen by a triage nurse. The survey questions were mailed to patients after discharge. After receiving completed surveys from 100 patients, the researchers decided to delete several of the questions and only survey patients seen in the ER during the early morning hours. Discuss how changing the survey tool and restricting the data collection or sample time could compromise the research.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 9 Discussion
Data Mining Issues
Review the article, “State Loses Data-Mining Case,” linked in the Resources. Present at least two perspectives on the following question:
Is the sale of information by data miners to drug companies a legal or ethical issue?
Explain both perspectives, making strong arguments that do not reveal your personal opinion on the issue.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
HIM4630 Statistical Analysis for Health Information Management
Unit 10 Discussion
DQ1 Patterns and Trends in Data
There are many ways in which data can be presented to identify trends or patterns. One way is through the use of a dashboard. Work through “Hospitals that have Demonstrated Meaningful Use through the Medicare EHR Incentive Program,” linked in the Resources. Explain why certain states may have a smaller percentage of hospitals that demonstrated meaningful use when compared to other states. Support your explanation with thoughts on identifying trends, patterns, and comparative information.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).
DQ2 More on Dashboards
Graphical perception is a critical element in presenting data. The graph should best represent the data and information intended. Certain graphs are more effective at displaying information for a fast and accurate interpretation while others are most effective to display a specific statistical outlook.
Search online for a bad graph. Provide the link to the graph, a description of the graph, and an explanation regarding why you think the graph is bad. Finally, using graphical perception as a foundation, describe a method that would be better suited to present the information.
Your initial post should be at least 150 words and must include at least one reference (both an in-text citation and a full bibliographic citation at the end, both following APA style).