Health Data Standards
What are health data standards and how do they relate to your role as an informaticist? Health data standards are the agreed upon representations of nursing data. From the coding of medical processes to documentation formats and terminology definitions, health data standards help to align nursing language. Being knowledgeable in health data standards is imperative to the data aggregation and informatics system selection process. It is the informaticist’s responsibility to not only understand the nursing domains of each standard, but also to be educated on the standards development organizations (SDO) that create, maintain, and approve these standards.
In this Discussion, you explore one health data standard of your choosing. For the purposes of this Discussion, do not focus on the standardization of nursing terminologies, as you will examine those in next week’s Discussion.
Post by tomorrow 7/12/16 550 words in APA format with 3 references
1) A description of the health data standards your setting uses and how these standards impact documentation and your specific nursing role.
2)Explain how standard development organizations impact your health care setting.
In this chapter, the authors explore the connections between various informatics specialties, such as health care informatics and nursing informatics. Focusing primarily on nursing informatics, the chapter provides information on its concepts, establishment, and practice.
This chapter explains the components that are necessary for health data standards to function effectively. Guidelines for interpreting health data standards are also given.
This article explores the EHR Certification Alternative for Health Care Providers (EACH) program that was designed to ensure that EHRs meet the compliances of the HITECH Act. It also discusses the benefits of EACH and how its use can result in a safer health care environment and reward its users along the way.
The authors of this article examine the use of SNOMED CT in clinical documents. Prior to its implementation, health care professionals had to ensure the validity of HL7 documents manually. By the end of the study, the authors concluded that the use of SNOMED CT, along with the technologies of OWL, removes the need for health care employees to verify the documents manually.
This article summarizes some of the shortcomings of the HL7 standard. In addition, the authors propose uniting HL7 with IEEE 1451 in order to ensure better organization and administration in the medical informatics field. Public Health Data Standards Consortium. (2012). Health information technology standards. Retrieved from http://www.phdsc.org/standards/health-information/D_Standards.asp