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

Authors :
Rotem, Reut
Galvin, Daniel
Daykan, Yair
Mi, Yanlin
Tabirca, Sabin
O'Reilly, Barry A.
Source :
European Journal of Obstetrics & Gynecology & Reproductive Biology. Sep2024, Vol. 300, p49-53. 5p.
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03012115
Volume :
300
Database :
Academic Search Index
Journal :
European Journal of Obstetrics & Gynecology & Reproductive Biology
Publication Type :
Academic Journal
Accession number :
179170890
Full Text :
https://doi.org/10.1016/j.ejogrb.2024.07.009