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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.
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