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KALIS的历史与未来:迈向循证医学中的计算机辅助决策

History and Future of KALIS: Towards Computer-assisted Decision Making in Prescriptive Medicine.

作者信息

Friedrichs Marcel, Shoshi Alban

机构信息

Bielefeld University, Faculty of Technology, Bioinformatics/Medical Informatics Department, Bielefeld, Germany.

出版信息

J Integr Bioinform. 2019 May 30;16(3):20190011. doi: 10.1515/jib-2019-0011.

DOI:10.1515/jib-2019-0011
PMID:31145693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6798848/
Abstract

With an increasing older population in Germany and the need for polypharmacy to treat multimorbid patients computer-assisted decision making on an individual level is increasingly important to reduce prescription errors and adverse drug reactions. While current systems focus on guidelines and prescribing information, molecular information is equally important for explanation and discovery of drug-related problems. Based on the existing KALIS system and newer projects like PIMBase, a new concept for the KALIS-2 system is presented. Improvements to the modularisation of components enable future extension and greater maintainability. Interoperability with available electronic health records standards and protocols allows the integration and communication with existing workflows for healthcare professionals. Finally, new visualisation modes empower the user to explore and analyze the patient situation in an individual patient subgraph. For offline use and dialogue between patient and general practitioner, the results can be printed out using a new reporting tool. The adherence to findings from previous decision support systems and reasons for their failed adoption is an important task in the development of KALIS-2.

摘要

随着德国老年人口的增加以及治疗多病患者对多种药物联合使用的需求,在个体层面上进行计算机辅助决策对于减少处方错误和药物不良反应变得越来越重要。虽然当前系统侧重于指南和处方信息,但分子信息对于解释和发现药物相关问题同样重要。基于现有的KALIS系统以及诸如PIMBase等新项目,提出了KALIS - 2系统的新概念。组件模块化的改进使得未来能够进行扩展并具有更高的可维护性。与可用的电子健康记录标准和协议的互操作性允许与医疗保健专业人员的现有工作流程进行集成和通信。最后,新的可视化模式使用户能够在个体患者子图中探索和分析患者情况。对于离线使用以及患者与全科医生之间的对话,可以使用新的报告工具打印结果。遵循先前决策支持系统的结果及其未被采用的原因是KALIS - 2开发中的一项重要任务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/e8a1abd35535/jib-16-20190011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/f6513a664df4/jib-16-20190011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/9a4cea58df0a/jib-16-20190011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/e8a1abd35535/jib-16-20190011-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/f6513a664df4/jib-16-20190011-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/9a4cea58df0a/jib-16-20190011-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba41/6798848/e8a1abd35535/jib-16-20190011-g003.jpg

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本文引用的文献

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Data-Driven Assessment of Potentially Inappropriate Medication in the Elderly.基于数据驱动的老年人潜在不适当用药评估
Stud Health Technol Inform. 2018;253:125-129.
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Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS study): a qualitative study of practical implementation in primary care.
通过电子决策支持减少老年人群不适当用药(PRIMA-eDS研究):一项关于基层医疗实际实施情况的定性研究
BMC Fam Pract. 2018 Jul 9;19(1):110. doi: 10.1186/s12875-018-0789-3.
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KALIS - An eHealth System for Biomedical Risk Analysis of Drugs.KALIS - 一个用于药物生物医学风险分析的电子健康系统。
Stud Health Technol Inform. 2017;236:128-135.
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