MAV-clic: management, analysis, and visualization of clinical data
MAV-clic: management, analysis, and visualization of clinical data
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DOI：
10.1093/jamiaopen/ooy052
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发表时间：
2019-04-01
期刊：
影响因子：
2.1
通讯作者：
Liang, Bruce T.
中科院分区：
文献类型：
--
作者：
Ahmed, Zeeshan;Kim, Minjung;Liang, Bruce T.
目标：开发一个多功能分析平台，用于有效管理和分析医疗保健数据。材料和方法：临床数据的管理、分析和可视化 (MAV-clic) 是基于蝴蝶模型的 1996 年健康保险流通和责任法案 (HIPAA) 兼容框架。 MAV-clic 提取、清理和加密数据，然后以去识别化的格式重组和聚合数据。图形用户界面允许查询、分析和可视化临床数据。结果：MAV-clic 管理 UConn Health 超过 800 000 名受试者的医疗保健数据。 MAV-clic 的三个分析功能包括： 根据特定标准创建群组；对具有特定诊断和药物治疗的受试者进行测量分析；讨论：MAV-clic 通过有效地对受试者进行分层以了解特定场景并优化决策，为临床医生和医疗分析师提供支持。结论：MAV-clic 建立在这样的科学前提之上：为了提高医疗保健的质量和转型，需要综合平台来分析异质临床、流行病学、代谢组学、蛋白质组学和基因组学数据，以实现精准医疗。
Objectives: Develop a multifunctional analytics platform for efficient management and analysis of healthcare data.Materials and Methods: Management, Analysis, and Visualization of Clinical Data (MAV-clic) is a Health Insurance Portability and Accountability Act of 1996 (HIPAA)-compliant framework based on the Butterfly Model. MAV-clic extracts, cleanses, and encrypts data then restructures and aggregates data in a deidentified format. A graphical user interface allows query, analysis, and visualization of clinical data.Results: MAV-clic manages healthcare data for over 800 000 subjects at UConn Health. Three analytic capabilities of MAV-clic include: creating cohorts based on specific criteria; performing measurement analysis of subjects with a specific diagnosis and medication; and calculating measure outcomes of subjects over time.Discussion: MAV-clic supports clinicians and healthcare analysts by efficiently stratifying subjects to understand specific scenarios and optimize decision making.Conclusion: MAV-clic is founded on the scientific premise that to improve the quality and transition of healthcare, integrative platforms are necessary to analyze heterogeneous clinical, epidemiological, metabolomics, proteomics, and genomics data for precision medicine.