Integration of AI With Electronic Health Records

Abstract

Abstract Metabolic diseases, such as diabetes, obesity, and dyslipidemia, are growing in complexity, and are increasingly seen across the globe where they are demanding a significant burden on health systems. Traditional methods continue to under-utilize the vast amount of health information available in Electronic Health Records (EHRs). Artificial intelligence (AI) is a powerful solution as it can study complex amounts of data to identify patterns and generate actionable insights. This AI-powered decision making benefits precision medicine because it creates opportunities for early diagnosis, tailored treatment, and long-term monitoring, when used with EHRs. This chapter explores the ways in which artificial intelligence (AI) can provide real-world guidance to clinicians making decisions in metabolic disease, specifically how it can use EHR sources of information to help with diagnosis, risk stratification and treatment decision making.

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