A real-time dashboard approach to decision support: an exercise in co-design

Julie Li; Craig Scowen; Conrad Loten; Alex Eigenstetter; Judith Thomas; Mirela Prgomet; Melissa Baysari; Andrew Georgiou

doi:10.3233/SHTI240363

A real-time dashboard approach to decision support: an exercise in co-design

Julie Li, Craig Scowen, Conrad Loten, Alex Eigenstetter, Judith Thomas, Mirela Prgomet, Melissa Baysari, Andrew Georgiou

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

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Abstract

Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error. However, such tools are often introduced into a clinical setting with little understanding of clinician workflow and how tools are likely to impact this. This study reports a qualitative co-design methodology and results from the first phase in the design and development of an analytics-driven, dashboard approach to supporting clinician test ordering in the Emergency Department.

Original language	English
Title of host publication	Digital Health and Informatics Innovations for Sustainable Health Care Systems
Subtitle of host publication	Proceedings of MIE 2024
Editors	John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanović, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	137-141
Number of pages	5
ISBN (Electronic)	9781643685335
DOIs	https://doi.org/10.3233/SHTI240363
Publication status	Published - 22 Aug 2024
Event	34th Medical Informatics in Europe Conference, MIE 2024 - Athens, Greece Duration: 25 Aug 2024 → 29 Aug 2024

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press
Volume	316
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	34th Medical Informatics in Europe Conference, MIE 2024
Country/Territory	Greece
City	Athens
Period	25/08/24 → 29/08/24

Bibliographical note

Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

diagnostic informatics
Emergency department
qualitative studies
quality improvement

Access to Document

10.3233/SHTI240363Licence: CC BY-NC

Publisher version (open access)Final published version, 167 KBLicence: CC BY-NC

Cite this

Li, J., Scowen, C., Loten, C., Eigenstetter, A., Thomas, J., Prgomet, M., Baysari, M., & Georgiou, A. (2024). A real-time dashboard approach to decision support: an exercise in co-design. In J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanović, A. Benis, P. Gallos, E. Zoulias, & E. Andrikopoulou (Eds.), Digital Health and Informatics Innovations for Sustainable Health Care Systems: Proceedings of MIE 2024 (pp. 137-141). (Studies in Health Technology and Informatics; Vol. 316). IOS Press. https://doi.org/10.3233/SHTI240363

Li, Julie ; Scowen, Craig ; Loten, Conrad et al. / A real-time dashboard approach to decision support : an exercise in co-design. Digital Health and Informatics Innovations for Sustainable Health Care Systems: Proceedings of MIE 2024 . editor / John Mantas ; Arie Hasman ; George Demiris ; Kaija Saranto ; Michael Marschollek ; Theodoros N. Arvanitis ; Ivana Ognjanović ; Arriel Benis ; Parisis Gallos ; Emmanouil Zoulias ; Elisavet Andrikopoulou. Amsterdam : IOS Press, 2024. pp. 137-141 (Studies in Health Technology and Informatics).

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abstract = "Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error. However, such tools are often introduced into a clinical setting with little understanding of clinician workflow and how tools are likely to impact this. This study reports a qualitative co-design methodology and results from the first phase in the design and development of an analytics-driven, dashboard approach to supporting clinician test ordering in the Emergency Department.",

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note = "Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 34th Medical Informatics in Europe Conference, MIE 2024 ; Conference date: 25-08-2024 Through 29-08-2024",

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Li, J, Scowen, C, Loten, C, Eigenstetter, A, Thomas, J , Prgomet, M, Baysari, M & Georgiou, A 2024, A real-time dashboard approach to decision support: an exercise in co-design. in J Mantas, A Hasman, G Demiris, K Saranto, M Marschollek, TN Arvanitis, I Ognjanović, A Benis, P Gallos, E Zoulias & E Andrikopoulou (eds), Digital Health and Informatics Innovations for Sustainable Health Care Systems: Proceedings of MIE 2024 . Studies in Health Technology and Informatics, vol. 316, IOS Press, Amsterdam, pp. 137-141, 34th Medical Informatics in Europe Conference, MIE 2024, Athens, Greece, 25/08/24. https://doi.org/10.3233/SHTI240363

A real-time dashboard approach to decision support: an exercise in co-design. / Li, Julie; Scowen, Craig; Loten, Conrad et al.
Digital Health and Informatics Innovations for Sustainable Health Care Systems: Proceedings of MIE 2024 . ed. / John Mantas; Arie Hasman; George Demiris; Kaija Saranto; Michael Marschollek; Theodoros N. Arvanitis; Ivana Ognjanović; Arriel Benis; Parisis Gallos; Emmanouil Zoulias; Elisavet Andrikopoulou. Amsterdam: IOS Press, 2024. p. 137-141 (Studies in Health Technology and Informatics; Vol. 316).

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

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AU - Li, Julie

AU - Scowen, Craig

AU - Loten, Conrad

AU - Eigenstetter, Alex

AU - Thomas, Judith

AU - Prgomet, Mirela

AU - Baysari, Melissa

AU - Georgiou, Andrew

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AB - Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error. However, such tools are often introduced into a clinical setting with little understanding of clinician workflow and how tools are likely to impact this. This study reports a qualitative co-design methodology and results from the first phase in the design and development of an analytics-driven, dashboard approach to supporting clinician test ordering in the Emergency Department.

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BT - Digital Health and Informatics Innovations for Sustainable Health Care Systems

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A2 - Hasman, Arie

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A2 - Marschollek, Michael

A2 - Arvanitis, Theodoros N.

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A2 - Benis, Arriel

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A2 - Andrikopoulou, Elisavet

PB - IOS Press

CY - Amsterdam

Y2 - 25 August 2024 through 29 August 2024

ER -

Li J, Scowen C, Loten C, Eigenstetter A, Thomas J , Prgomet M et al. A real-time dashboard approach to decision support: an exercise in co-design. In Mantas J, Hasman A, Demiris G, Saranto K, Marschollek M, Arvanitis TN, Ognjanović I, Benis A, Gallos P, Zoulias E, Andrikopoulou E, editors, Digital Health and Informatics Innovations for Sustainable Health Care Systems: Proceedings of MIE 2024 . Amsterdam: IOS Press. 2024. p. 137-141. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI240363

A real-time dashboard approach to decision support: an exercise in co-design

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Branko Cesnick Award for the Best Student Academic/Scientific Paper

Cite this

A real-time dashboard approach to decision support: an exercise in co-design

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Prizes

Branko Cesnick Award for the Best Student Academic/Scientific Paper

Cite this