“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
State	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/Territory	France
City	Lyon
Period	8/25/19 → 8/30/19

Keywords

Burnout
Cognitive Science
Electronic Health Records
Professional

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/SHTI190711

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. et al.

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). doi: 10.3233/SHTI190711

Chu, Ling ; Toomay, Seth M. ; Ginnings, Cameron S. et al. / “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).

@inproceedings{a40fef5311e449d5866e83bbab9b1aed,

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

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.",

keywords = "Burnout, Cognitive Science, Electronic Health Records, Professional",

author = "Ling Chu and Toomay, {Seth M.} and Ginnings, {Cameron S.} and Gabriel, {Kyle G.} and Halm, {Ethan A} and Willett, {Duwayne L.}",

year = "2019",

month = aug,

day = "21",

doi = "10.3233/SHTI190711",

language = "English (US)",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "1915--1916",

editor = "Brigitte Seroussi and Lucila Ohno-Machado and Lucila Ohno-Machado and Brigitte Seroussi",

booktitle = "MEDINFO 2019",

note = "17th World Congress on Medical and Health Informatics, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",

}

TY - GEN

T1 - “D/C the CC (carbon copy)” - Improving the EhR signal-to-noise ratio for clinicians by selective feature de-implementation

AU - Chu, Ling

AU - Toomay, Seth M.

AU - Ginnings, Cameron S.

AU - Gabriel, Kyle G.

AU - Halm, Ethan A

AU - Willett, Duwayne L.

PY - 2019/8/21

Y1 - 2019/8/21

N2 - 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.

AB - 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.

KW - Burnout

KW - Cognitive Science

KW - Electronic Health Records

KW - Professional

UR - http://www.scopus.com/inward/record.url?scp=85071488626&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071488626&partnerID=8YFLogxK

U2 - 10.3233/SHTI190711

DO - 10.3233/SHTI190711

M3 - Conference contribution

C2 - 31438405

AN - SCOPUS:85071488626

T3 - Studies in Health Technology and Informatics

SP - 1915

EP - 1916

BT - MEDINFO 2019

A2 - Seroussi, Brigitte

A2 - Ohno-Machado, Lucila

A2 - Seroussi, Brigitte

PB - IOS Press

T2 - 17th World Congress on Medical and Health Informatics, MEDINFO 2019

Y2 - 25 August 2019 through 30 August 2019

ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this