Learning Objectives
By the end of this module, you will meet these learning objectives:
Apply data extraction methodologies to ensure data integrity and
quality
Discuss the necessary elements of an interoperable and secure health
information exchange
Explain the impact of a data dictionary as it informs data quality and
patient outcomes
Module at a Glance
This is the recommended plan for completing the reading assignments and
activities within the module. Additional information can be found in the
module Reading and Resources section and in the task list.
1. Read the assigned resources.
2. Complete the data extraction worksheet.
3. Complete Milestone Two.
Reading and Resources
Required Resources
Textbook: Health Information Management: Concepts, Principles, and
Practice Chapter 5 pp. 159-168; Chapters 15 and 16
Consider the following questions as you read Chapter 5:
Why is data standardization important in healthcare?
How does the Continuity of Care Record (CCR) or Document (CCD)
support interoperability?
Consider the following questions as you read Chapter 15:
What are the various types of statistics calculated in healthcare?
How are statistical data calculated and used by health information
managers?
Consider the following questions as you read Chapter 16:
Why is the analysis of statistical data valuable in improving the quality
of care?
What role do HIM professionals play regarding healthcare data and
analytics?
A Case for Using the Analytics Ecosystem in Interoperable HIEs
This article focuses on data analytics in interoperable HIEs and the stages in
which analytics may be applied.
Why Digital Medicine Depends On Interoperability
This article provides an overview of how the lack of interoperability among
health information technology systems impacts patient care and research
progress.
Hospital Statistics Basic Formulae
This resource contains formulas for commonly computed healthcare rates
and percentages. These formulas are used on the RHIT and RHIA
examinations and will support your work in this module.
Additional Support (Optional)
Using Electronic Health Record Data to Improve Community Health
Assessment Improve Community Health Assessment
This article describes how extraction and linking of EHR data are possible
through an HIE network as well as how the extracted data can be combined
with public data sets on social determinants.
