“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

doi:10.3233/SHTI190711

“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 proceeding › Conference 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 language	English (US)
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	1915-1916
Number of pages	2
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190711
Publication status	Published - Aug 21 2019
Event	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country	France
City	Lyon
Period	8/25/19 → 8/30/19

Fingerprint

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 proceeding › Conference 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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Access to Document

10.3233/SHTI190711