Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Mar 8, 2022
Open Peer Review Period: Mar 8, 2022 - May 3, 2022
Date Accepted: Sep 19, 2022
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Implementation of Machine Learning Pipelines for Clinical Practice
ABSTRACT
Artificial Intelligence (AI) technologies, such as machine learning and natural language processing, have the potential to provide new insights into complex health data. While powerful, these algorithms rarely move from experimental studies to direct clinical care implementation. This work describes the modifications leading to the successful development and integration of two AI technology-based research pipelines for clinical practice. In specific, the work highlights two different clinical systems: (1) epilepsy surgical candidate identification in an ambulatory neurology clinic; and (2) real-time patient identification for research studies in a pediatric emergency department. These projects showcase novel interactions between machine learning recommendations and providers during clinical care. Our deployment provides seamless, real-time integration of AI technology to provide decision support and improve patient care. The success of each project was largely dependent upon the collaboration between machine learning experts, research and operational information technology professionals, longitudinal support from clinical providers, and institutional leadership.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.