Hadoop-based implementation of processing medical diagnostic records for visual patient system

Yuanyuan Yang; Liehang Shi; Zhe Xie; Jianguo Zhang

doi:10.1117/12.2292311

6 March 2018 Hadoop-based implementation of processing medical diagnostic records for visual patient system

Yuanyuan Yang, Liehang Shi, Zhe Xie, Jianguo Zhang

Proceedings Volume 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications; 105791F (2018) https://doi.org/10.1117/12.2292311
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

We have innovatively introduced Visual Patient (VP) concept and method visually to represent and index patient imaging diagnostic records (IDR) in last year SPIE Medical Imaging (SPIE MI 2017), which can enable a doctor to review a large amount of IDR of a patient in a limited appointed time slot. In this presentation, we presented a new approach to design data processing architecture of VP system (VPS) to acquire, process and store various kinds of IDR to build VP instance for each patient in hospital environment based on Hadoop distributed processing structure. We designed this system architecture called Medical Information Processing System (MIPS) with a combination of Hadoop batch processing architecture and Storm stream processing architecture. The MIPS implemented parallel processing of various kinds of clinical data with high efficiency, which come from disparate hospital information system such as PACS, RIS LIS and HIS.

Citation Download Citation

Yuanyuan Yang, Liehang Shi, Zhe Xie, and Jianguo Zhang "Hadoop-based implementation of processing medical diagnostic records for visual patient system", Proc. SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105791F (6 March 2018); https://doi.org/10.1117/12.2292311

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