MoCab: A Model Management System Based on FHIR for Clinical Decision Support

Zhe Ming Kuo, Yi Ju Tseng*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

MoCab is a framework that deploys high-accuracy medical models across various health information systems (HISs) using fast healthcare interoperability resources (FHIR). MoCab simplifies the process by importing and configuring stored models and retrieving data for prediction. Two case studies illustrate how MoCab can be used to support decision-making. The proposed framework increases model reusability across EHRs and improves the clinical decision-making process.

原文English
主出版物標題MEDINFO 2023 - The Future is Accessible
主出版物子標題Proceedings of the 19th World Congress on Medical and Health Informatics
編輯Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
發行者IOS Press BV
頁面1384-1385
頁數2
ISBN(電子)9781643684567
DOIs
出版狀態Published - 25 1月 2024
事件19th World Congress on Medical and Health Informatics, MedInfo 2023 - Sydney, Australia
持續時間: 8 7月 202312 7月 2023

出版系列

名字Studies in Health Technology and Informatics
310
ISSN(列印)0926-9630
ISSN(電子)1879-8365

Conference

Conference19th World Congress on Medical and Health Informatics, MedInfo 2023
國家/地區Australia
城市Sydney
期間8/07/2312/07/23

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