The Use of Precision Medicine to Support the Precision of Clinical Decisions in care delivery.

Yearbook of medical informatics Pub Date : 2024-08-01 Epub Date: 2025-04-08 DOI:10.1055/s-0044-1800738

Lina Sulieman, Allison B McCoy, Lipika Sama, Josh F Peterson

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引用次数: 0

Abstract

Objectives: Objective: Precision medicine uses individualized patient data, including genomic and social determinants of health SDoH), to provide optimized personalized patient treatment. In this scoping review, we summarize studies published in the last two years that reported on implementation of precision medicine in clinical decision support (CDS) related to precision medicine.

Methods: We searched PubMed for manuscripts published in 2022 and 2023 to retrieve publications that included CDS and precision medicine keywords and Mesh terms. We reviewed the abstracts and full texts to apply the inclusion criteria that the study must have described the implementation of precision medicine related CDS within electronic health records. We extracted the domain, type of data used in CDS, target population included in the implementation from the final set of included manuscripts.

Results: Our search retrieved 285 manuscripts and papers. Sixteen (16) papers met inclusion criteria after manual review of the full text. Eight of the reviewed papers studied the successful implementation of pharmacogenomics in CDS, four studies investigated the implementation of disease risk, and only one paper described the implementation of CDS integrating social determinants of health.

Conclusion: Our scoping review of recent literature highlighted several findings. Pharmacogenomics is the most implemented precision medicine intervention based on published studies. Few reports describing disease risk and polygenic risk scores were found and no study addressed CDS for continuous biometric monitoring. Despite the increasing attention to social determinants of health as a key predictor of health outcomes, only one CDS incorporating SDoH have been publicly reported. Regular updates to scoping reviews can investigate barriers to implementation and identify solutions.

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利用精准医学支持医疗服务中临床决策的精准性。

目的：精准医学使用个性化患者数据，包括基因组和健康的社会决定因素，以提供优化的个性化患者治疗。在这篇范围综述中，我们总结了近两年发表的关于精准医学在与精准医学相关的临床决策支持（CDS）中的实施的研究。方法：我们在PubMed检索2022年和2023年发表的论文，检索包含CDS和精准医学关键词和Mesh术语的出版物。我们回顾了摘要和全文，以应用纳入标准，即该研究必须描述在电子健康记录中实施与精准医学相关的CDS。我们从最后一组纳入的手稿中提取了领域、CDS中使用的数据类型、实施中包括的目标人群。结果：检索到285篇原稿和论文。人工审阅全文后，16篇论文符合纳入标准。在审查的论文中，有八篇研究了药物基因组学在CDS中的成功实施，四篇研究调查了疾病风险的实施，只有一篇论文描述了将健康的社会决定因素纳入CDS的实施。结论：我们对近期文献的范围综述突出了几个发现。药物基因组学是基于已发表研究的实施最多的精准医学干预。很少有报道描述疾病风险和多基因风险评分，也没有研究涉及CDS的连续生物测量监测。尽管人们越来越关注健康的社会决定因素，将其作为健康结果的关键预测因素，但公开报道的包括SDoH的CDS只有一例。定期更新范围审查可以调查实现的障碍并确定解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Yearbook of medical informatics Medicine-Medicine (all)

CiteScore

4.10

自引率

0.00%

发文量

期刊介绍： Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.