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MMFP 表格:通过整合、可视化以及分析临床和研究健康系统电子数据实现精准线粒体医学。

MMFP-Tableau: enabling precision mitochondrial medicine through integration, visualization, and analytics of clinical and research health system electronic data.

作者信息

George-Sankoh Ibrahim, MacMullen Laura E, Chinwalla Asif T, Taylor Deanne, Ganetzky Rebecca D, Stanley Katelynn, McCormick Elizabeth M, Zolkipli-Cunningham Zarazuela, Falk Marni J

机构信息

Mitochondrial Medicine Frontier Program (MMFP), Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.

Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.

出版信息

JAMIA Open. 2024 Nov 18;7(4):ooae134. doi: 10.1093/jamiaopen/ooae134. eCollection 2024 Dec.

DOI:10.1093/jamiaopen/ooae134
PMID:39559492
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11570990/
Abstract

OBJECTIVE

To describe a novel data integration workflow developed to automate clinical and research electronic health system data integration and harmonization from siloed sources for centralized access, visualization and analysis by clinicians and researchers in an end user-friendly customized analytic platform.

MATERIALS AND METHODS

A centralized, semi-automated framework provides data provenance and user access to integrated data sources. Data models are implemented leveraging a centralized server (Alteryx) for high-level analytics including scheduling, integration, and modeling. Data are then sent to a secure Tableau instance for end-user visualization and interaction, with minimal software development required.

RESULTS

MMFP-Tableau, named for its origin in the Mitochondrial Medicine Frontier Program (MMFP) at the Children's Hospital of Philadelphia (CHOP), has advanced efforts to realize precision medicine by facilitating expert clinician and researcher end-user direct access to integrated, highly robust health system datasets. This scalable data solution enables translational researchers to link subject and cohort clinical and research parameters with research samples; enhances external biopharma collaborations for clinical trial design, subject recruitment, and data tracking; accelerates retrospective clinical cohort data analysis; and improves complex data visualization for clinicians and researchers.

DISCUSSION

MMFP-Tableau promotes complex data integration, visibility, and advanced analytic capabilities to facilitate seamless multidisciplinary research, benefitting clinical care and research in rare disease patients and cohorts.

CONCLUSION

The MMFP-Tableau data platform integrates multiple data sources across various siloed data platforms to transform complex data into readily accessible datasets. This approach represents a generalizable workflow concept readily adaptable to implement across diverse fields of medicine.

摘要

目的

描述一种新开发的数据集成工作流程,该流程旨在实现临床和研究电子健康系统数据的自动化集成与协调,这些数据来自孤立的数据源,以便临床医生和研究人员能够在一个终端用户友好的定制分析平台中进行集中访问、可视化和分析。

材料与方法

一个集中式的半自动框架提供数据来源并允许用户访问集成数据源。利用一个集中式服务器(Alteryx)来实现数据模型,以进行包括调度、集成和建模在内的高级分析。然后将数据发送到一个安全的Tableau实例,以便终端用户进行可视化和交互,所需的软件开发工作量最小。

结果

MMFP-Tableau因其起源于费城儿童医院(CHOP)的线粒体医学前沿项目(MMFP)而得名,它通过促进专家临床医生和研究人员终端用户直接访问集成的、高度可靠的健康系统数据集,推动了精准医学的发展。这种可扩展的数据解决方案使转化研究人员能够将受试者和队列的临床及研究参数与研究样本相联系;加强了与外部生物制药公司在临床试验设计、受试者招募和数据跟踪方面的合作;加速了回顾性临床队列数据分析;并改善了临床医生和研究人员对复杂数据的可视化。

讨论

MMFP-Tableau促进了复杂数据的集成、可视化和高级分析能力,以推动无缝的多学科研究,使罕见病患者和队列的临床护理和研究受益。

结论

MMFP-Tableau数据平台整合了各个孤立数据平台中的多个数据源,将复杂数据转化为易于访问的数据集。这种方法代表了一种可推广的工作流程概念,很容易适用于医学的各个不同领域。

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