“D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation

Ling Chu, Seth M Toomay, Cameron S. Ginnings, Kyle G. Gabriel, Ethan A Halm, Duwayne L Willett

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

Abstract

De-implementation of a 10-year EHR configuration resulted in over 50% decrease in the volume of the most-common InBasket message type received by PCPs. Pro-actively seeking out ways to not only (a) implement helpful new EHR features but (b) de-implement detrimental ones offers an opportunity to accelerate improvement in the S/N ratio and reduce clinician frustration and dissatisfaction with the EHR. Balancing governance decision agendas with de-implementation opportunities can enhance the clinician experience.

Original languageEnglish (US)
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages1915-1916
Number of pages2
ISBN (Electronic)9781643680026
DOIs
StatePublished - Aug 21 2019
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: Aug 25 2019Aug 30 2019

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
CountryFrance
CityLyon
Period8/25/198/30/19

Fingerprint

Dilatation and Curettage
Frustration
Signal-To-Noise Ratio
Signal to noise ratio
Carbon

Keywords

  • Burnout
  • Cognitive Science
  • Electronic Health Records
  • Professional

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Chu, L., Toomay, S. M., Ginnings, C. S., Gabriel, K. G., Halm, E. A., & Willett, D. L. (2019). “D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1915-1916). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190711

“D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation. / Chu, Ling; Toomay, Seth M; Ginnings, Cameron S.; Gabriel, Kyle G.; Halm, Ethan A; Willett, Duwayne L.

MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1915-1916 (Studies in Health Technology and Informatics; Vol. 264).

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

Chu, L, Toomay, SM, Ginnings, CS, Gabriel, KG, Halm, EA & Willett, DL 2019, “D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1915-1916, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190711
Chu L, Toomay SM, Ginnings CS, Gabriel KG, Halm EA, Willett DL. “D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1915-1916. (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI190711
Chu, Ling ; Toomay, Seth M ; Ginnings, Cameron S. ; Gabriel, Kyle G. ; Halm, Ethan A ; Willett, Duwayne L. / “D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1915-1916 (Studies in Health Technology and Informatics).
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