Standardizing Physiologic Assessment Data to Enable Big Data Analytics

Susan A. Matney, Theresa (Tess) Settergren, Jane M Carrington, Rachel L. Richesson, Amy Sheide, Bonnie L. Westra

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Disparate data must be represented in a common format to enable comparison across multiple institutions and facilitate Big Data science. Nursing assessments represent a rich source of information. However, a lack of agreement regarding essential concepts and standardized terminology prevent their use for Big Data science in the current state. The purpose of this study was to align a minimum set of physiological nursing assessment data elements with national standardized coding systems. Six institutions shared their 100 most common electronic health record nursing assessment data elements. From these, a set of distinct elements was mapped to nationally recognized Logical Observations Identifiers Names and Codes (LOINC®) and Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT®) standards. We identified 137 observation names (55% new to LOINC), and 348 observation values (20% new to SNOMED CT) organized into 16 panels (72% new LOINC). This reference set can support the exchange of nursing information, facilitate multi-site research, and provide a framework for nursing data analysis.

Original languageEnglish (US)
Pages (from-to)63-77
Number of pages15
JournalWestern Journal of Nursing Research
Volume39
Issue number1
DOIs
StatePublished - Jan 1 2017

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Logical Observation Identifiers Names and Codes
Nursing Assessment
Terminology
Nursing
Observation
Electronic Health Records
Names
Research

Keywords

  • data exchange standards
  • LOINC
  • medical surgical nursing
  • multi-institutional research
  • nursing assessment
  • nursing informatics
  • SNOMED CT

ASJC Scopus subject areas

  • Nursing(all)

Cite this

Standardizing Physiologic Assessment Data to Enable Big Data Analytics. / Matney, Susan A.; Settergren, Theresa (Tess); Carrington, Jane M; Richesson, Rachel L.; Sheide, Amy; Westra, Bonnie L.

In: Western Journal of Nursing Research, Vol. 39, No. 1, 01.01.2017, p. 63-77.

Research output: Contribution to journalArticle

Matney, Susan A. ; Settergren, Theresa (Tess) ; Carrington, Jane M ; Richesson, Rachel L. ; Sheide, Amy ; Westra, Bonnie L. / Standardizing Physiologic Assessment Data to Enable Big Data Analytics. In: Western Journal of Nursing Research. 2017 ; Vol. 39, No. 1. pp. 63-77.
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