Heterogeneous Medical Data Share and Integration on Grid

Zheng, Ran; Jin, Hai; Zhang, Qin; Liu, Yingshu; Pan, Chu

doi:10.1109/bmei.2008.185

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…(Demetriades, Kolodner, & Christopherson, 2005). One of the major challenges of Information Technology (IT) in Healthcare services is how to integrate several disparate, standalone clinical information repositories into a single logical repository to create a distinct version of fact for all users (Mann, 2005;Zheng et al, 2008;Goldstein et al, 2007;Shepherd, 2007).…”

Section: 1mentioning

confidence: 99%

“…A massive amount of health records, related documents and medical images generated by clinical diagnostic equipment are created daily (Zheng, Jin, Zhang, Liu, & Chu, 2008). Medical records are owned by different hospitals, departments, doctors, technicians, nurses, and patients.…”

Section: 1mentioning

confidence: 99%

“…Medical records are owned by different hospitals, departments, doctors, technicians, nurses, and patients. These valuable data are stored in various medical information systems such as HIS (Hospital Information System), RIS (Radiology Information System), PACS (Picture Archiving and Communications System) in various hospitals, departments and laboratories being primary locations (Zheng, Jin, Zhang, Liu, & Chu, 2008). These medical information systems are distributed and heterogeneous (utilizing various software and hardware platforms including several configurations).…”

Section: 1mentioning

confidence: 99%

“…These medical information systems are distributed and heterogeneous (utilizing various software and hardware platforms including several configurations). Such processes and data flows have been reported by Zheng, Jin, Zhang, Liu, & Chu (2008).All medical records are located in different hospitals or different departments of single hospital. Every unit may use different hardware platforms, different operating systems, different information management systems, or different network protocols.…”

Section: 1mentioning

confidence: 99%

See 3 more Smart Citations

Designing Framework for Data Warehousing of Patient Clinical Records using Data Visualization Technique of Nigeria Medical Records

Oye¹,

Emeje²

2019

IJCATR

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The availability of timely and accurate data is vital to make informed medical decisions. Today patients data required to make informed medical decisions are trapped within fragmented and disparate clinical and administrative systems that are not properly integrated or fully utilized. Therefore, there is a growing need in the healthcare sector to store and organize size-able clinical record of patients to assist the healthcare professionals in decision making processes. This research is about integrating and organizing disparate clinical record of patients into a Data Warehouse (DW) for data analysis and mining, which will enable evidence-based decision-making processes. This study uses SQL Server Integration Service (SSIS) for the extraction transformation and loading (ETL) of patient clinical records from fragmented administrative systems into the DW, Data visualization technique was used for data presentation while SQL Server Reporting Services and Business Intelligent (BI) tools for designing the output results. This research will assist medical experts and decision makers in the healthcare industry in planning for the future. This research also provides an architecture for designing a clinical DW that is not limited to single disease and will operate as a distributed system, Periodic update on a daily basis is possible because contemporary technologies have narrowed the gap between updates which enable organizations to have a "real time" DW which can be analyzed using an OLAP Server. In conclusion if this research is deployed it will aid medical decision-making process in the Nigerian medical sector.

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Section: 1mentioning

confidence: 99%

Section: 1mentioning

confidence: 99%

Section: 1mentioning

confidence: 99%

Section: 1mentioning

confidence: 99%

See 2 more Smart Citations

Designing Framework for Data Warehousing of Patient Clinical Records using Data Visualization Technique of Nigeria Medical Records

Oye¹,

Emeje²

2019

IJCATR

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“…Grid technology can be used in hospitals and medical related works to share and integrate heterogeneous medical sources [36]. The study also introduces the related works on medical grid applications.…”

Section: Data Mining Applications On Distributed Medical Databasesmentioning

confidence: 99%

Data Mining on Distributed Medical Databases: Recent Trends and Future Directions

Atilgan

Dogan

2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. As computerization in healthcare services increase, the amount of available digital data is growing at an unprecedented rate and as a result healthcare organizations are much more able to store data than to extract knowledge from it. Today the major challenge is to transform these data into useful information and knowledge. It is important for healthcare organizations to use stored data to improve quality while reducing cost. This paper first investigates the data mining applications on centralized medical databases, and how they are used for diagnostic and population health, then introduces distributed databases. The integration needs and issues of distributed medical databases are described. Finally the paper focuses on data mining studies on distributed medical databases.

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Distributed PACS using distributed file system with hierarchical meta data servers

Hiroyasu

Yoshiyuki

Miki

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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In this research, we propose a new distributed PACS (Picture Archiving and Communication Systems) which is available to integrate several PACSs that exist in each medical institution. The conventional PACS controls DICOM file into one data-base. On the other hand, in the proposed system, DICOM file is separated into meta data and image data and those are stored individually. Using this mechanism, since file is not always accessed the entire data, some operations such as finding files, changing titles, and so on can be performed in high-speed. At the same time, as distributed file system is utilized, accessing image files can also achieve high-speed access and high fault tolerant. The introduced system has a more significant point. That is the simplicity to integrate several PACSs. In the proposed system, only the meta data servers are integrated and integrated system can be constructed. This system also has the scalability of file access with along to the number of file numbers and file sizes. On the other hand, because meta-data server is integrated, the meta data server is the weakness of this system. To solve this defect, hieratical meta data servers are introduced. Because of this mechanism, not only fault--tolerant ability is increased but scalability of file access is also increased. To discuss the proposed system, the prototype system using Gfarm was implemented. For evaluating the implemented system, file search operating time of Gfarm and NFS were compared.

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Heterogeneous Medical Data Share and Integration on Grid

Cited by 7 publications

References 7 publications

Designing Framework for Data Warehousing of Patient Clinical Records using Data Visualization Technique of Nigeria Medical Records

Designing Framework for Data Warehousing of Patient Clinical Records using Data Visualization Technique of Nigeria Medical Records

Data Mining on Distributed Medical Databases: Recent Trends and Future Directions

Distributed PACS using distributed file system with hierarchical meta data servers

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