MMFP-Tableau:通过整合、可视化和分析临床与研究健康系统电子数据,实现线粒体精准医疗。

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES JAMIA Open Pub Date : 2024-11-18 eCollection Date: 2024-12-01 DOI:10.1093/jamiaopen/ooae134
Ibrahim George-Sankoh, Laura E MacMullen, Asif T Chinwalla, Deanne Taylor, Rebecca D Ganetzky, Katelynn Stanley, Elizabeth M McCormick, Zarazuela Zolkipli-Cunningham, Marni J Falk
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引用次数: 0

摘要

目的:描述一种新颖的数据集成工作流程,该流程旨在自动集成和统一临床与研究电子健康系统的孤立数据源,以便临床医生和研究人员在终端用户友好的定制分析平台上进行集中访问、可视化和分析:集中式半自动化框架提供数据出处和用户访问集成数据源。数据模型利用集中式服务器(Alteryx)进行高级分析,包括调度、整合和建模。然后,数据被发送到一个安全的 Tableau 实例,供最终用户进行可视化和交互,只需进行最少的软件开发:MMFP-Tableau 因其源于费城儿童医院(CHOP)的线粒体医学前沿项目(MMFP)而得名,通过促进临床专家和研究人员终端用户直接访问集成的、高度强大的医疗系统数据集,推动了精准医疗的实现。这一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和研究参数与研究样本联系起来;加强了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;并为临床医生和研究人员改进了复杂数据的可视化:MMFP-Tableau促进了复杂数据的整合、可视化和高级分析功能,从而促进了无缝的多学科研究,有利于罕见病患者和队列的临床护理和研究:MMFP-Tableau数据平台整合了各种孤岛式数据平台的多个数据源,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通用的工作流程概念,可随时在不同的医学领域实施。
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MMFP-Tableau: enabling precision mitochondrial medicine through integration, visualization, and analytics of clinical and research health system electronic data.

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.

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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
期刊最新文献
Implementation of a rule-based algorithm to find patients eligible for cancer clinical trials. Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms. MMFP-Tableau: enabling precision mitochondrial medicine through integration, visualization, and analytics of clinical and research health system electronic data. Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process. Development of an evidence- and consensus-based Digital Healthcare Equity Framework.
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