Revolutionizing urogynecology: Machine learning application with patient-centric technology: Promise, challenges, and future directions.

Artificial intelligence Digital innovation Electronic health records Global data amalgamation Urogynecology

Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
06 Jul 2024
Historique:
received: 01 04 2024
revised: 14 06 2024
accepted: 05 07 2024
medline: 11 7 2024
pubmed: 11 7 2024
entrez: 10 7 2024
Statut: aheadofprint

Résumé

In an epoch where digital innovation is redefining the medical landscape, electronic health records (EHRs) stand out as a pivotal transformative force. Urogynecology, a discipline anchored in intricate patient histories and meticulous follow-ups, is on the brink of profound transformation due to these digital strides. While EHRs have unified patient data, challenges related to data privacy, interoperability, and access persist. In response, we present Pelvic Health Place (PHPlace) - a multilingual, patient-centric application. Purposefully designed to bolster patient engagement, PHPlace provides clinicians with essential pre-consultation insights, streamlines the consent process, vividly delineates surgical pathways, and assures comprehensive long-term monitoring. This platform also establishes a foundation for global data amalgamation, promising to invigorate research and potentially harness artificial intelligence (AI) capabilities. With AI integration, we anticipate a more tailored treatment approach and enriched patient education, signaling a pivotal shift in urogynecology and emphasizing the imperative for ongoing academic inquiry.

Identifiants

pubmed: 38986272
pii: S0301-2115(24)00344-0
doi: 10.1016/j.ejogrb.2024.07.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

49-53

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Reut Rotem (R)

Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland; Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated With the Hebrew University School of Medicine, Jerusalem, Israel.

Daniel Galvin (D)

Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland. Electronic address: galvindm@tcd.ie.

Yair Daykan (Y)

Department of OBGYN, Meir Medical Center, Kfar Saba, Israel; School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.

Yanlin Mi (Y)

School of Computer Science and Information Technology, University College Cork, Cork, Ireland; SFI Centre for Research Training in Artificial Intelligence, University College Cork, Cork, Ireland.

Sabin Tabirca (S)

School of Computer Science and Information Technology, University College Cork, Cork, Ireland; Faculty of Mathematics and Informatics, Transylvania University of Brasov, Brasov, Romania.

Barry A O'Reilly (BA)

Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland.

Classifications MeSH