Health care information in one context may serve as data in another context. When a health care provider takes a patient’s blood pressure and the reading is 160/100, this is a piece of data that the provider can enter into the patient’s electronic health record. However, this data–when considered in the context of the patient having a family history of hypertension and when taken as one of a series of elevated blood pressure readings obtained from the patient over a 6-month period–can also inform the health care provider that the patient is hypertensive and therefore at a higher risk of developing a health complication associated with high blood pressure.
To prepare for this Application Assignment, consider the definitions of data and information described in the course text and the data-to-information-to-knowledge continuum discussed by the presenters in this week’s course media. Then, reflect on ways that data and information are used in health care organizations.
To complete this Application Assignment, write a 1- to 2-page paper that addresses the following:
- What is the relationship between data and information? How are they different? Provide examples.
- What steps can be taken to obtain quality data? How would data of poor quality impact the usefulness of that data? Provide examples.
Your written assignments must follow APA guidelines. Be sure to support your work with specific citations from this week’s Learning Resources and additional scholarly sources as appropriate. Refer to the Essential Guide to APA Style for Walden Students to ensure your in–text citations and reference list are correct.
Video: Laureate Education, Inc. (Executive Producer). (2009). Information systems management: Data and information management. Baltimore: Author.
Course Text: Wager, K. A., Lee, F. W., & Glaser, J. (2013). Health care information systems: A practical approach for health care management (3rd ed.). San Francisco: Jossey-Bass.
Chapter 1, “Introduction to Health Care Information”
This chapter introduces the different sources, types, and uses of health care information and presents frameworks for categorization and management of this information.
- Chapter 2, “Health Care Data Quality” When making data-driven decisions, it is essential to have clean source data and well-defined collection processes and entry procedures. This chapter explores ways in which the highest quality of data can be obtained in health care.
- Chapter 9, “Technologies That Support Health Care Information Systems” (read pp. 273–284, “Learning Objectives” through “Data Mining”)
Course Text: Tan, J. K. H., & Payton, F. C. (2010). Adaptive health management information systems: Concepts, cases, and practical applications. Sudbury, MA: Jones and Bartlett.
- Research Brief I, “Personal Digital Assistants Enhance Data Collection Efficiency During a Study of Waiting Times in an Emergency Department” (read p. 42–47) This reading selection reviews a research study that focused on the efficiency of using PDAs to help gather patient information and the impact of that technology on emergency room waiting times.
- Technology Brief IV, “Database, Data-Mining, and Data-Warehousing Concepts for Healthcare Services Organizations” (read pp. 133–141)
Article: Kaipa, P. (2000). Knowledge architecture for the twenty-first century.
Behaviour & Information Technology, 19(3), 153–161.
This article describes the main components of a model that can provide a structure for the use of knowledge in creating generational sustainability, with consideration given to strategic intent, core competencies, decisions, actions, and outcomes.
- Article: Amatayakul, M. (2008). Good data stewardship makes good cents. Healthcare Financial Management, 62(2), 122–124. Retrieved from http://ezp.waldenulibrary.org/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=mnh&AN=18309603&site=ehost-live&scope=site