Capella HIM4630 Complete Course Latest 2021 May (Full)

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).

 

HIM4630 Statistical Analysis for Health Information Management

Unit 2 Assignment  

Data and Statistics in Health Care

Statistics can be used at any level within an organization or in the health care industry. The use of data to improve patient care along with the ability to access health data resources are commonly required skills in a health care workplace.

In this assignment, you will continue to explore the use of statistics in health care and develop an appreciation for health care statistics from both local and national perspectives.

Instructions

Refer to the Vila Health: Using Health Care Statistics media piece for the successful completion of this assignment.

In your new role as a data analyst for Vila Health, complete a report on using the Centers for Disease Control and Prevention’s (CDC) data repositories for collecting statistics. Visit the Data & Statistics page of the CDC website linked in the Resources and complete the following steps:

Select a topic under the heading Data & Statistics by Topic on the web page.

Explore the page for your selected topic and review the information presented under the different subheadings.

Create a two-page report that meets the following requirements:

Describe statistical information used in health care, including examples found on your topic.

Describe the use of statistics in relation to health information management, such as registries, hospital statistics, and vital statistics.

Describe several users of this data in health care.

Explain who the users of the information might be, including specific use by a health care data analyst.

Describe the statistical resource used for this assignment, as well as several others you have explored in the course.

 

HIM4630 Statistical Analysis for Health Information Management

Unit 4 Assignment  

Data Standardization

Data must go through a process of collection, measurement, analysis, and reporting before it becomes useful information. To accomplish this process, data has to be defined and classified (structured); often, data points must be established. The latter is particularly common in relation to data collected and retrieved from electronic health systems. Standards development organizations (SDOs) help set guidelines to standardize the use of health care data points.

In this assignment, you will classify data points and review the use of data standards for classification.

Instructions

Review the Vila Health: Standards Development Organizations media piece. After you review it, create a table to compile information on standards development organizations (SDOs) and classify data points most commonly used to capture patient information in health information systems. Links to SDOs are provided in the Resources. Complete the following in your table:

List the type of standards developed by the SDOs.

Describe the data to which the standard applies.

Explain why data standards are important in interpreting health care data.

Describe how the standards can be used as data standardization strategies for quality improvement initiatives.

Provide one example of a quality improvement initiative for each SDO.

List the type of data points and classification that may apply to the SDO, based on the description of the data to which the standard applies. (For example, The National Council for Prescription and Drug Programs would likely set standards for the data point of medications.) You may choose from the following data points:

Identification number.

Name.

Address.

Telephone number.

Date of birth.

Gender.

Height.

Weight.

Date of admission.

Diagnoses.

Medications.

Medication dosage.

Medication frequency.

Conclude with a one-page report summarizing your findings and comparing information from the SDO that compares to the data points.

Submission Requirements

Written communication: Written communication should be clear and generally free of grammatical errors.

Format: Document with table and summary.

APA formatting: Use APA style and format for the paper, references, and citations.

Font and font size: Times New Roman, 12 point.

Resources

Data Standardization Scoring Guide.

DICOM.

X12.

International Organization for Standardization (ISO).

IEEE.

NEMA.

Health Level Seven International.

ASTM International.

NCPDP.

Vila Health: Standards Development Organizations | Transcript.

APA Style and Format.

 

HIM4630 Statistical Analysis for Health Information Management

Unit 5 Assignment  

Benchmarking With Hospital Data

Benchmarking is a tool used not only for measurement but also for quality improvement. Benchmarking is a process of comparing performance as a strategy to identify opportunities for improvement. The first step in applying health information to benchmarking is to access it, analyze it, and use it for comparisons.

In this assignment, you will summarize your findings from the application of an online tool called Hospital Compare listed in the Resources. This tool will show you where facilities fall compared to national benchmarks.

Instructions

Imagine that Vila Health is interested in comparing its performance to facilities in the surrounding area. As a Vila Health analyst, you will perform benchmarking comparisons and then evaluate the data source to be used for benchmarking purposes. Use the Hospital Compare feature on the U.S. Department of Health and Human Services website to access benchmarking data for local hospitals to represent Vila Health facilities. After you perform the comparisons, you will summarize your findings on the data source in a memo to the HIM director.

Under the heading Find a Hospital, select at least two facilities to compare by selecting Add to Compare.

When you have selected at least two facilities, select Compare Now.

Select one of the categories or tabs at the top (for example, Survey, Complications).

Select a category from the drop-down arrows.

Select Show Graphs if you cannot see the graphs already.

Read the resulting output to understand what this data source provides.

Include the following in your memo:

Describe the use of benchmarking data and comparative data.

Discuss statistical data that allows comparative measures, such as mean and median. Provide examples based on your Hospital Compare results.

Interpret the results to understand what types of information can be provided by the comparative measures. Provide examples or graphs based on your Hospital Compare results.

Describe who would use the benchmarking data and also provide the implications of the data.

You can refer to the Summary and Descriptive Statistics media piece for additional help.

Submission Requirements

Written communication: Written communication should be clear and generally free of grammatical errors.

APA formatting: Use APA style and format for the paper, references, and citations.

Length of paper: Two pages.

Font and font size: Times New Roman, 12 point.

Resources

Benchmarking With Hospital Data Scoring Guide.

APA Style and Format.

Summary and Descriptive Statistics | Transcript.

Hospital Compare.

 

 

 

 

 

HIM4630 Statistical Analysis for Health Information Management

Unit 7 Assignment  

Data Model

A data model provides a user’s view of how the data should be structured and displayed. It also provides an understanding of how information is acquired and required to support business practices within an organization.

In this assignment, you will use Visio to develop a data model for a specific scenario.

Instructions

You have been provided the following data points from a Vila Health clinic. Using the data points provided, develop a data model for the Vila Health clinic; apply your knowledge of data modeling concepts. Your data model should structure the data to support the business practices of a health care organization. The data points should be grouped together under a category heading. Each category should have a title that is short but descriptive. Develop your data model using the symbols and notations found in entity-relationship diagrams. Use Visio to create your model. You may also use Courseroom Software Resources linked in the Resources for Visio.

Consumer ID.

Last name.

First name.

Date of birth.

Sex or gender.

Street address.

City.

State.

Zip code.

Telephone number.

Social security number.

Type of radiological test.

Date ordered.

Physician’s last name.

Physician’s first name.

Physician’s specialty.

Physician’s ID.

Physician’s telephone number.

Insurance name.

Insurance group number.

Insurance type.

Effective date.

Expiration date.

Diagnosis.

Signs and symptoms.

Presenting problem.

Time of arrival.

Time of discharge.

 

HIM4630 Statistical Analysis for Health Information Management

Unit 9 Assignment  

Data Mining

Data mining is an analytical process used to extract data for the purpose of providing information.

In this assignment, you will perform data mining activities and apply the results to different uses in health care information settings.

Instructions

Complete the data mining tutorial in the media piece Data Mining. In addition, watch the video titled Presentation of Data. For this assignment, you will be working with data sets provided as Excel spreadsheets linked in the Resources. Download and review the data sets.

As a data analyst for Vila Health, you have been asked to work on a project related to customer satisfaction and nursing staff performance. You will analyze two data sets and compose a report for the clinic’s physicians based on your analysis. In your closing report, draw conclusions about how the information from the data sets can be connected. For example, can the physician’s performance impact nursing tasks? Or, is there an association between customer satisfaction and nursing task performance?

Data set 1: Clinic Performance linked in the Resources, contains raw data about performance at your clinic from a customer service perspective.

Organize and analyze the raw data.

Draw conclusions about clinic physicians and customer service.

Explain if the sample can provide an accurate depiction of clinic performance, noting variations and patterns.

Describe how to use data sampling methods in strategic decision-making.

Create two recommendations for improving patient service based on the results of your analysis.

Data set 2: Nursing Data Worksheet linked in the Resources, provides information on nursing staff performance on two tasks. The data shows that there has been a decrease in productivity for the nursing staff at one of the Vila Health clinics in the past few months. Using the Nursing Data Worksheet and the pivot table report, complete the following:

Perform data mining techniques to determine how the nursing staff performed when completing Task 1 and Task 2.

Discuss data mining tools. Provide a brief summary of data mining techniques that can be used to evaluate the nursing staff tasks. Include a description of how each technique can be used to help determine or detect in health care, including an example of the use of each data mining technique in relation to the nursing data.

Genetic algorithms.

Neural networks.

Predictive modeling.

Rule induction.

Fuzzy logic.

Decision trees.

K-nearest neighbor.

Describe the use of data mining in strategic decision-making.

Resources

Data Mining Scoring Guide.

Clinic performance [XLS].

Presentation of Data | Transcript.

Data Mining | Transcript.

Nursing Data Worksheet [XLS].

APA Style and Format.