Posted: March 1st, 2023

Health Care Data Dictionary

Application: Health Care Data Dictionary

The IBM Dictionary of Computing defines a data dictionary as a “centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format.” (IBM, 1993) It is related to descriptions pertaining to databases and database management systems (DBMS).

The American Health Information Management Association (AHIMA) defines a data dictionary as a descriptive list of names (also called representations or displays), definitions, and attributes of data elements to be collected in an information system or database. (AHIMA, 2006). The purpose of the data dictionary is to standardize definitions and ensure consistency of use.

To prepare for this Application, read the following in your course text Health Information: Management of a Strategic Resource:
Chapter 13, “Data Analytics: Reporting, Interpretation, and Use
Also, search for information on data dictionaries, as can be found at the following Web sites:
American Health Information Management Association (AHIMA)

Australian National Health Data Dictionary
National Health Data Dictionary, Version 10, 2001
Sample Data Dictionaries
The Database Programmer
For this Application, select a disease state of your choosing. In a 1- to 2-page report written in Help write my thesis – APA style:
Determine at least 10 fields of significance for a database pertinent to the disease state selected. Be sure to include data fields such as a patient’s PHI, address, insurance information, and fields particular to the disease state chosen.
Describe the importance to all stakeholders within the clinical, technical, and management aspects of health care delivery to have data entry forms be constructed using a well-conceived and standardized data dictionary.
Explain how standardized forms deliver value to the integration between HIS Applications running locally and remotely.
Comment upon the complexity of integration when multiple HIS Applications do not follow similar data dictionaries.
Submit your assignment by Day 4.
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Reference

IBM (1993). IBM dictionary of computing (10th ed.). New York: McGraw Hill.
AHIMA e-HIM Work Group on EHR Data Content. (2006, February). Guidelines for developing a data dictionary. Journal of AHIMA 77(2), 64A-D
Resources Overview
During Week 6, you will use a variety of resources, both required and supplemental, including selections from the course text and various Web and video resources. The Weekly Schedule (a navigation link under Week 6) outlines the resources you will need to participate in the Assignment help – Discussion and complete the Application and the 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 6 Overview
Note: The approximate length of this media piece is 20 minutes.
This video provides an introduction to the week’s resources and assignments.
Accessible player
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Reading

Course Text: Abdelhak, M., & Hanken, M. A. (2016). Health information: Management of a strategic resource (5th ed.). St. Louis, MO: Saunders Elsevier.
Chapter 13, “Data Analytics: Reporting, Interpretation, and Use
In this chapter, you will learn about how health care data are used by different sectors in the health care system. This chapter explains about the different disease registries, as well as other health-related registries. Read about how data is analyzed and used for outcomes and decision support systems.
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Web Resource
Agency for Healthcare Research and Quality (AHRQ)
This Web site explains what Outcomes Research is and how outcomes are measured and used for decision-making. The outcomes that matter most to patients should be measured along with the traditional biomedical measures shown here, such as mortality and physiological symptoms.
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Web Resource
American Health Information Management Association (AHIMA)

This Web site defines a data dictionary, provides a rationale for data dictionaries, and presents guidelines for developing a data dictionary.
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Web Resource
Australian National Health Data Dictionary

This site accesses the National Health Data Dictionary by the Australian Institute of Health and Welfare. You can download Word documents of some of the elements.
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Web Resource
National Health Data Dictionary, Version 10, 2001

This Web site allows you to download pdf documents of the National Health Data Dictionary, including data element definitions and the National Health Information Model.
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Web Resource
New York State Department of Health
This Web site is devoted to Disease Registries. The site explains what disease registries are and the types of disease registries maintained by the New York State Department of Health.
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Web Resource
Sample Data Dictionaries

Here you can see two partial screen shots of a sample data dictionary and read about some of the fields and terminology used.
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Web Resource
The Database Programmer
This blog provides an overview of how to use a data dictionary and build and upgrade databases and scripts in order to generate forms and technical documentation.
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Web Resource
University of North Carolina Health Science Library

This tutorial takes you through Evidence Based Medicine. You can learn how to determine the validity of study results and the parts of a good clinical question.
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Web Resource
Using Clinical Pathways in Patients Undergoing Cardiac Valve Surgery

This article discusses the value of clinical pathways and how they can be used more efficiently to help patients meet expected outcomes within a prescribed length of stay. The article focuses on a clinical pathway for cardiac surgery.
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Media
Video: Laureate Education (Producer). (2009). Healthcare information systems analytical applications [Video file]. Retrieved from https://class.waldenu.edu
Note: The approximate length of this media piece is 2 minutes.
Dr. Vincent Grasso provides real world health care IT examples of how data mining, natural language processing, and the computer science domain of artificial intelligence impact the delivery of healthcare.
Please follow the Rubric below!
Week 6 Application: Health Care Data Dictionary 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
Fields The submission includes at least 10 significant fields for a disease state database.
Importance of a Data DictionaryThe submission explains why it is important to all stakeholders for data entry forms to be constructed using a standardized data dictionary.
HIS ApplicationsThe submission explains how standardized forms deliver value to the integration of HIS Applications.
Complexity of IntegrationThe submission comments on the complexity of integration that can occur when multiple HIS Applications follow different data dictionaries.
Form and StyleThe 12page submission is written in Help write my thesis – APA style, with consistent style and flow.

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