A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department

Alexandra Mullins; Helen Skouteris; Heather Morris; Joanne Enticott

doi:10.3233/SHTI220531

A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department

Alexandra Mullins, Helen Skouteris, Heather Morris, Joanne Enticott

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

Abstract

Electronic health records are widely implemented, yet little is understood around adoption and use in the ED setting. Older patients (≥65) are a cohort likely to benefit from use. The primary outcome (MHR access) was explored using logistic regression of 9 independent variables. 28.33% of patients had their MHR accessed within 3 days of presenting. Access is more likely when patients arrive via urgent ambulance and/or are triaged as critical.

Original language	English
Title of host publication	Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022
Editors	Brigitte Seroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos
Place of Publication	Amsterdam Netherlands
Publisher	IOS Press
Pages	577-578
Number of pages	2
ISBN (Electronic)	9781643682853
ISBN (Print)	9781643682846
DOIs	https://doi.org/10.3233/SHTI220531
Publication status	Published - 2022
Event	Medical Informatics in Europe Conference (MIE) 2022 - Nice, France Duration: 27 May 2022 → 30 May 2022 Conference number: 32nd https://mie2022.org/ https://ebooks.iospress.nl/volume/challenges-of-trustable-ai-and-added-value-on-health-proceedings-of-mie-2022

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press
Volume	294
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	Medical Informatics in Europe Conference (MIE) 2022
Abbreviated title	MIE 2022
Country/Territory	France
City	Nice
Period	27/05/22 → 30/05/22
Internet address	https://mie2022.org/ https://ebooks.iospress.nl/volume/challenges-of-trustable-ai-and-added-value-on-health-proceedings-of-mie-2022

Keywords

electronic health record
emergency department
hospital
medical system
My Health Record

Access to Document

10.3233/SHTI220531Licence: CC BY-NC

Cite this

Mullins, A., Skouteris, H., Morris, H., & Enticott, J. (2022). A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. In B. Seroussi, P. Weber, F. Dhombres, C. Grouin, J.-D. Liebe, S. Pelayo, A. Pinna, B. Rance, L. Sacchi, A. Ugon, A. Benis, & P. Gallos (Eds.), Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022 (pp. 577-578). (Studies in Health Technology and Informatics; Vol. 294). IOS Press. https://doi.org/10.3233/SHTI220531

Mullins, Alexandra ; Skouteris, Helen ; Morris, Heather et al. / A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. editor / Brigitte Seroussi ; Patrick Weber ; Ferdinand Dhombres ; Cyril Grouin ; Jan-David Liebe ; Sylvia Pelayo ; Andrea Pinna ; Bastien Rance ; Lucia Sacchi ; Adrien Ugon ; Arriel Benis ; Parisis Gallos. Amsterdam Netherlands : IOS Press, 2022. pp. 577-578 (Studies in Health Technology and Informatics).

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title = "A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department",

abstract = "Electronic health records are widely implemented, yet little is understood around adoption and use in the ED setting. Older patients (≥65) are a cohort likely to benefit from use. The primary outcome (MHR access) was explored using logistic regression of 9 independent variables. 28.33% of patients had their MHR accessed within 3 days of presenting. Access is more likely when patients arrive via urgent ambulance and/or are triaged as critical. ",

keywords = "electronic health record, emergency department, hospital, medical system, My Health Record",

author = "Alexandra Mullins and Helen Skouteris and Heather Morris and Joanne Enticott",

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Mullins, A, Skouteris, H , Morris, H & Enticott, J 2022, A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. in B Seroussi, P Weber, F Dhombres, C Grouin, J-D Liebe, S Pelayo, A Pinna, B Rance, L Sacchi, A Ugon, A Benis & P Gallos (eds), Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Studies in Health Technology and Informatics, vol. 294, IOS Press, Amsterdam Netherlands, pp. 577-578, Medical Informatics in Europe Conference (MIE) 2022, Nice, France, 27/05/22. https://doi.org/10.3233/SHTI220531

A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. / Mullins, Alexandra; Skouteris, Helen ; Morris, Heather et al.
Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. ed. / Brigitte Seroussi; Patrick Weber; Ferdinand Dhombres; Cyril Grouin; Jan-David Liebe; Sylvia Pelayo; Andrea Pinna; Bastien Rance; Lucia Sacchi; Adrien Ugon; Arriel Benis; Parisis Gallos. Amsterdam Netherlands: IOS Press, 2022. p. 577-578 (Studies in Health Technology and Informatics; Vol. 294).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

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Mullins A, Skouteris H , Morris H , Enticott J. A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department. In Seroussi B, Weber P, Dhombres F, Grouin C, Liebe JD, Pelayo S, Pinna A, Rance B, Sacchi L, Ugon A, Benis A, Gallos P, editors, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Amsterdam Netherlands: IOS Press. 2022. p. 577-578. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI220531

A Log Analysis Exploring the Predictors of Electronic Health Record Access by Clinicians for Consumers Aged ≥65 Who Present to the Emergency Department

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Keywords

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