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. 2022 Oct 13;10(10):e42429. doi: 10.2196/42429

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©Tzu-Wei Tseng, Chang-Fu Su, Feipei Lai. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 13.10.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

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Use cases for IHCA research and application. (A) Extract the data and transfer them to the FHIR server. (B) Data management for data processing, early warning system for notification and model trigger, and machine learning pipeline for model prediction and model training. API: application programming interface; ETL: Extract Transform Load; FHIR: Fast Healthcare Interoperability Resources; HAPI: Health Level 7 application programming interface; HIS: healthcare information system; IHCA: in-hospital cardiac arrest.