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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Publication Details

Journal
Studies in health technology and informatics
Published
2025-02-18
DOI
https://doi.org/10.3233/shti250019
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario

Obinna Emmanuel Ezeani, Ezinne V.C. Onwuekwe
Studies in health technology and informatics
Biomedical Text Mining and Ontologies
article

A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario

Obinna Emmanuel Ezeani, Ezinne V.C. Onwuekwe
article en

Abstract

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.

Studies in health technology and informaticsVol. 322
University of Toronto (CA), Nova Scotia Health Authority (CA)
Peace, Justice and strong institutions
Openalex Percentile: Top 94%
Biomedical Text Mining and Ontologies
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