PharmoCo:用于临床决策支持系统的基于图形的药物基因组可信性检查报告可视化。

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2023-12-28 eCollection Date: 2023-12-01 DOI:10.1515/jib-2023-0026
Lena Raupach, Cassandra Königs
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引用次数: 0

摘要

近年来,将药物基因组学合理性检查纳入临床实践的首批方法表明,药物治疗安全性有望得到改善,但在应用方面也存在困难。困难之一是如何让医生对基于文本的结果进行有意义的解释。为了避免误解,并在处方中加入以证据为基础的药物基因组学建议,我们在此提出了一个适当而合理的解决方案,那就是将报告图表化。这样就能做出合理的解释,并将复杂甚至相互矛盾的指南联系起来。利用图形可视化技术改进对药物基因组学(PGx)指南的概述,可使医生在选择剂量和药物时更加针对患者的具体情况,改善治疗效果,从而提高药物治疗的安全性。
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PharmoCo: a graph-based visualization of pharmacogenomic plausibility check reports for clinical decision support systems.

The first approaches in recent years for the integration of pharmacogenomic plausibility checks into clinical practice show both a promising improvement in the drug therapy safety, but also difficulties in application. One of the difficulties is the meaningful interpretation of the text-based results by the medical practitioner. We propose here as an appropriate and sensible solution to avoid misunderstandings and to include evidence-based, pharmacogenomic recommendations in prescriptions, which should be the graph-based visualization of the reports. This allows for a plausible interpretation and relate complex, even contradictory guidelines. The improved overview over the pharmacogenomics (PGx) guidelines using the graphical visualization makes the medical practitioner's choice of dose and medication more patient-specific, improves the treatment outcome and thus, increases the drug therapy safety.

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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
期刊最新文献
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