{"title":"《在安大略省北部农村实施人工智能驱动计划指南》。","authors":"Obinna Emmanuel Ezeani, Ezinne V C Onwuekwe","doi":"10.3233/SHTI250019","DOIUrl":null,"url":null,"abstract":"<p><p>Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and radiographic images, resources that are mostly limited in rural settings. This paper explores the development of an electronic health record (EHR) system and an AI-based clinical decision support system (CDSS) to aid in the diagnosis of pulmonary embolism (PE) in rural Northern Ontario. It assesses potential challenges with implementing these digital health technologies and provides mitigating strategies.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"322 ","pages":"66-67"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.\",\"authors\":\"Obinna Emmanuel Ezeani, Ezinne V C Onwuekwe\",\"doi\":\"10.3233/SHTI250019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and radiographic images, resources that are mostly limited in rural settings. This paper explores the development of an electronic health record (EHR) system and an AI-based clinical decision support system (CDSS) to aid in the diagnosis of pulmonary embolism (PE) in rural Northern Ontario. It assesses potential challenges with implementing these digital health technologies and provides mitigating strategies.</p>\",\"PeriodicalId\":94357,\"journal\":{\"name\":\"Studies in health technology and informatics\",\"volume\":\"322 \",\"pages\":\"66-67\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in health technology and informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/SHTI250019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI250019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.
Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and radiographic images, resources that are mostly limited in rural settings. This paper explores the development of an electronic health record (EHR) system and an AI-based clinical decision support system (CDSS) to aid in the diagnosis of pulmonary embolism (PE) in rural Northern Ontario. It assesses potential challenges with implementing these digital health technologies and provides mitigating strategies.
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