Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review

Mirela Prgomet; Humam Salman; Zara Shaheed; Andrew Georgiou

doi:10.3233/SHTI251150

Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review

Mirela Prgomet, Humam Salman, Zara Shaheed, Andrew Georgiou

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

36 Downloads (Pure)

Abstract

Pathology testing is pivotal for accurate diagnoses and management, especially in emergency departments (EDs). However, a proportion of diagnostic tests may be unnecessary. Artificial intelligence (AI) in healthcare offers a promising solution to reduce unnecessary pathology testing through advanced data analytics, but the success of AI-enabled digital health hinges on learning from existing digital health interventions. This poster will present findings from a scoping review of the impact of digital health interventions on unnecessary pathology testing in EDs, highlighting factors influencing their success.

Original language	English
Title of host publication	MEDINFO 2025
Subtitle of host publication	Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics
Editors	Mowafa S. Househ, Zain Ul Abideen Tariq, Mahmood Al-Zubaidi, Uzair Shah, Elaine Huesing
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	1658-1659
Number of pages	2
ISBN (Electronic)	9781643686080
DOIs	https://doi.org/10.3233/SHTI251150
Publication status	Published - 7 Aug 2025
Event	20th World Congress on Medical and Health Informatics, MEDINFO 2025 - Taipei, Taiwan Duration: 9 Aug 2025 → 13 Aug 2025

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press
Volume	329
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	20th World Congress on Medical and Health Informatics, MEDINFO 2025
Country/Territory	Taiwan
City	Taipei
Period	9/08/25 → 13/08/25

Bibliographical note

Copyright the Author(s) 2025. 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

digital health
pathology
low value care
clinical decision support
AI

Access to Document

10.3233/SHTI251150Licence: CC BY-NC

Publisher version (open access)Final published version, 115 KBLicence: CC BY-NC

Cite this

Prgomet, M., Salman, H., Shaheed, Z., & Georgiou, A. (2025). Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review. In M. S. Househ, Z. U. A. Tariq, M. Al-Zubaidi, U. Shah, & E. Huesing (Eds.), MEDINFO 2025: Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics (pp. 1658-1659). (Studies in Health Technology and Informatics; Vol. 329). IOS Press. https://doi.org/10.3233/SHTI251150

Prgomet, Mirela ; Salman, Humam ; Shaheed, Zara et al. / Impact of digital health interventions on unnecessary pathology testing in emergency departments : preliminary findings from a scoping review. MEDINFO 2025: Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics . editor / Mowafa S. Househ ; Zain Ul Abideen Tariq ; Mahmood Al-Zubaidi ; Uzair Shah ; Elaine Huesing. Amsterdam : IOS Press, 2025. pp. 1658-1659 (Studies in Health Technology and Informatics).

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abstract = "Pathology testing is pivotal for accurate diagnoses and management, especially in emergency departments (EDs). However, a proportion of diagnostic tests may be unnecessary. Artificial intelligence (AI) in healthcare offers a promising solution to reduce unnecessary pathology testing through advanced data analytics, but the success of AI-enabled digital health hinges on learning from existing digital health interventions. This poster will present findings from a scoping review of the impact of digital health interventions on unnecessary pathology testing in EDs, highlighting factors influencing their success.",

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author = "Mirela Prgomet and Humam Salman and Zara Shaheed and Andrew Georgiou",

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Prgomet, M, Salman, H, Shaheed, Z & Georgiou, A 2025, Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review. in MS Househ, ZUA Tariq, M Al-Zubaidi, U Shah & E Huesing (eds), MEDINFO 2025: Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics . Studies in Health Technology and Informatics, vol. 329, IOS Press, Amsterdam, pp. 1658-1659, 20th World Congress on Medical and Health Informatics, MEDINFO 2025, Taipei, Taiwan, 9/08/25. https://doi.org/10.3233/SHTI251150

Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review. / Prgomet, Mirela; Salman, Humam; Shaheed, Zara et al.
MEDINFO 2025: Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics . ed. / Mowafa S. Househ; Zain Ul Abideen Tariq; Mahmood Al-Zubaidi; Uzair Shah; Elaine Huesing. Amsterdam: IOS Press, 2025. p. 1658-1659 (Studies in Health Technology and Informatics; Vol. 329).

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

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AU - Salman, Humam

AU - Shaheed, Zara

AU - Georgiou, Andrew

N1 - Copyright the Author(s) 2025. 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.

PY - 2025/8/7

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N2 - Pathology testing is pivotal for accurate diagnoses and management, especially in emergency departments (EDs). However, a proportion of diagnostic tests may be unnecessary. Artificial intelligence (AI) in healthcare offers a promising solution to reduce unnecessary pathology testing through advanced data analytics, but the success of AI-enabled digital health hinges on learning from existing digital health interventions. This poster will present findings from a scoping review of the impact of digital health interventions on unnecessary pathology testing in EDs, highlighting factors influencing their success.

AB - Pathology testing is pivotal for accurate diagnoses and management, especially in emergency departments (EDs). However, a proportion of diagnostic tests may be unnecessary. Artificial intelligence (AI) in healthcare offers a promising solution to reduce unnecessary pathology testing through advanced data analytics, but the success of AI-enabled digital health hinges on learning from existing digital health interventions. This poster will present findings from a scoping review of the impact of digital health interventions on unnecessary pathology testing in EDs, highlighting factors influencing their success.

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KW - low value care

KW - clinical decision support

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PB - IOS Press

CY - Amsterdam

Y2 - 9 August 2025 through 13 August 2025

ER -

Prgomet M, Salman H, Shaheed Z, Georgiou A. Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review. In Househ MS, Tariq ZUA, Al-Zubaidi M, Shah U, Huesing E, editors, MEDINFO 2025: Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics . Amsterdam: IOS Press. 2025. p. 1658-1659. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI251150

Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Establishing a digital health foundation for outcomes-based diagnostic excellence, safety and value

Cite this

Impact of digital health interventions on unnecessary pathology testing in emergency departments: preliminary findings from a scoping review

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Establishing a digital health foundation for outcomes-based diagnostic excellence, safety and value

Cite this