Wearable technology surveillance data for the personal health record using the Omaha System: Noise exposure, cardiovascular and stress biomarkers

Madeleine J. Kerr, Dal Lae Chin, Karen A. Monsen, Oisaeng Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This poster describes a method to prepare noise and health data from wearable technology for standardized representation in the electronic personal health record thus enabling individuals to identify noise-related health risks. Using a case study approach, the authors demonstrate transformation of data to the Omaha System standardized terminology in order to depict the data graphically in a personal health record.

Original languageEnglish (US)
Title of host publicationNursing Informatics 2016 - eHealth for All
Subtitle of host publicationEvery Level Collaboration - From Project to Realization
EditorsWalter Sermeus, Patrick Weber, Paula M. Procter
PublisherIOS Press
Pages1053-1054
Number of pages2
ISBN (Electronic)9781614996576
DOIs
StatePublished - Jan 1 2016
Event13th International Conference on Nursing Informatics, NI 2016 - Geneva, Switzerland
Duration: Jun 25 2016Jun 29 2016

Publication series

NameStudies in Health Technology and Informatics
Volume225
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other13th International Conference on Nursing Informatics, NI 2016
CountrySwitzerland
CityGeneva
Period6/25/166/29/16

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Keywords

  • Cardiovascular biomarker
  • Noise exposure
  • Omaha System
  • Personal health record
  • Population health
  • Salivary cortisol
  • Wearable technology

Cite this

Kerr, M. J., Chin, D. L., Monsen, K. A., & Hong, O. (2016). Wearable technology surveillance data for the personal health record using the Omaha System: Noise exposure, cardiovascular and stress biomarkers. In W. Sermeus, P. Weber, & P. M. Procter (Eds.), Nursing Informatics 2016 - eHealth for All: Every Level Collaboration - From Project to Realization (pp. 1053-1054). (Studies in Health Technology and Informatics; Vol. 225). IOS Press. https://doi.org/10.3233/978-1-61499-658-3-1053