Disease State

Each patient-provider encounter provides an opportunity to collect data that is of clinical, financial, and managerial value. In this

Application, you will design a simple database. As you do this, keep in mind that not all data fields are equal. A form that collects data for

high blood pressure should give an alert if the heart rate is too high. Depending on the disease in question, one field could change the

treatment. Consider also, that subjective elements drive treatment in many cases. The same heart rate could mean something different for an

older person versus a younger person. These subjective elements make it difficult to design standard forms because you have to be conscious of

interactions of factors.

To prepare for this Application, read Chapter 2, “Health Care Data Quality” from your course text, Health Care Information Systems: A Practical

Approach for Health Care Management.

Search the Internet for more information on how to ensure data quality, such as can be found at American Health Information Management

Association (AHIMA).
Explore the supplemental video, Electronic Medical Record.
For this assignment, create a table that examines one disease state, such as hypertension or diabetes. The table should include at least 30

different data fields pertaining to the patient’s demographics, financials, and disease. Fields might include general information such as weight

and height, and specific information to the particular disease. You can use the Sample Form as a basis for creating your table.

Keep in mind that not all data fields should be treated the same and different data types can be entered for each field, such as text, image,

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numerical, etc. Identify the data types for each field.

In 1–2 paragraphs written in APA style, identify 3–4 specific alert and triggering mechanisms. These may be used in the event that data of a

time sensitive or clinically sensitive nature would be entered, such as a very high heart rate or fraudulent insurance identification number.

In an additional 2–3 paragraphs, describe the 10 characteristics of data quality of the American Health Information Management Association

(AHIMA). Pick five of these characteristics and describe what the consequences could be in the event of non-compliance for the data fields that

you chose for this assignment.
• Resources Overview
During Week 2, you will use a variety of resources, both required and supplemental, including the course text, Web resources, and a video. The

Weekly Schedule (a navigation link under Week 2) outlines the resources you will need to participate in the Discussion and complete the

Application and Group Project.
This page contains the Learning Resources for this week. Be sure to scroll down the page to see all of this week’s assigned Learning Resources.

To access select media resources, please use the media players below.
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Media
Video: Week 2 Overview
Note: The approximate length of this media piece is 21 minutes.
This video provides an introduction to the week’s resources and assignments.
• Reading

Course Text: Wager, K. A., Lee, F. W., &Glasser, J. P. (2013). Health care information systems: A practical approach for health care management

(3rd ed.). San Francisco: Jossey-Bass.

• Chapter 2, “Health Care Data Quality”
Chapter 2 discusses how to ensure the quality of data through the use of information technology. Ten characteristics of data quality are

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presented as well as strategies to prevent, detect, and fix errors.
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Web Resource
American Health Information Management Association (AHIMA)

This Web site provides a data quality management model. AHIMA identified four key processes to improve the quality of data, information and

knowledge within the health care system. Explore this Web site to find out about the 10 characteristics data should have and how to ensure data

quality especially when integrating multiple systems.
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Web Resource
EHR, EMR, and PHR
The key difference between an electronic health record (EHR) and an electronic medical record (EMR) is that an EHR provides interoperability. It

allows data to be shared among providers. This Web site explores the differences and the value of an electronic personal health record (PHR).
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Web Resource
Electronic Medical Record Screenshots
View the different screenshots of forms from a sample EMR. From this site, you can also explore how an EMR functions from a client’s perspective

by clicking on Test Drive.
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Media
Video: Laureate Education (Producer). (n.d.). Electronic medical record [Video file]. Retrieved from https://class.waldenu.edu

Note: The approximate length of this media piece is 5 minutes.

Dr. Vincent Grasso discusses three situations—radiology, cardiology, and cancer—in which data is gathered. The analytical components that drive

decisions about what to do with such data and how to devise medical treatment are discussed. The critical piece is the medical context. Dr.

Grasso discusses the combinations of factors and how those drive treatment decisions and the abilities and shortcomings of software to

facilitate those.

Accessible player
Rubrics
Rubrics in Table Format

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Week 2 Application: Disease State Assessment Rubric
• (4 Points) Exceptional, complete, clear, exceeds performance indicators
• (3 Points) Excellent, complete, meets performance indicators
• (2 Points) Approaching performance indicators, missing some detail, not fully developed
• (1 Point) Developing competence, vague, weak, needs more detail
• (0 Points) Not present
Points Earned
Disease State—The submission identifies the disease state of the EMR.
Table Fields—The submission includes at least 30 pertinent data fields for the disease state.
Field Types—The table includes the type of data for each field.
Alert and Triggering Mechanisms—The submission identifies 3–4 alert and triggering mechanisms.
Data Quality—The submission describes the 10 characteristics of data quality and the consequences of non-compliance for the data fields chosen.
Form and Style—The report is written in APA style, with consistent style and flow.
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