医学
背景(考古学)
决策支持系统
透明度(行为)
疾病
2型糖尿病
家庭医学
糖尿病
医疗保健
临床决策支持系统
护理部
计算机科学
病理
人工智能
内分泌学
古生物学
计算机安全
经济增长
经济
生物
作者
Daniele Spoladore,Francesco Stella,Martina Tosi,Erna Cecilia Lorenzini,Cláudio Bettini
标识
DOI:10.1016/j.compbiomed.2024.109001
摘要
Type-2 Diabetes Mellitus (T2D) is a growing concern worldwide, and family doctors are called to help diabetic patients manage this chronic disease, also with Medical Nutrition Therapy (MNT). However, MNT for Diabetes is usually standardized, while it would be much more effective if tailored to the patient. There is a gap in patient-tailored MNT which, if addressed, could support family doctors in delivering effective recommendations. In this context, decision support systems (DSSs) are valuable tools for physicians to support MNT for T2D patients - as long as DSSs are transparent to humans in their decision-making process. Indeed, the lack of transparency in data-driven DSS might hinder their adoption in clinical practice, thus leaving family physicians to adopt general nutrition guidelines provided by the national healthcare systems.
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