Int J Comput Assist Radiol Surg - Medical imaging informatics simulators: a tutorial.


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RPOSE: A medical imaging informatics infrastructure (MIII) platform is an organized method of selecting tools and synthesizing data from HIS/RIS/PACS/ePR systems with the aim of developing an imaging-based diagnosis or treatment system. Evaluation and analysis of these systems can be made more efficient by designing and implementing imaging informatics simulators. This tutorial introduces the MIII platform and provides the definition of treatment/diagnosis systems, while primarily focusing on the development of the related simulators.METHODS: A medical imaging informatics (MII) simulator in this context is defined as a system integration of many selected imaging and data components from the MIII platform and clinical treatment protocols, which can be used to simulate patient workflow and data flow starting from diagnostic procedures to the completion of treatment. In these processes, DICOM and HL-7 standards, IHE workflow profiles, and Web-based tools are emphasized. From the information collected in the database of a specific simulator, evidence-based medicine can be hypothesized to choose and integrate optimal clinical decision support components. Other relevant, selected clinical resources in addition to data and tools from the HIS/RIS/PACS and ePRs platform may also be tailored to develop the simulator. These resources can include image content indexing, 3D rendering with visualization, data grid and cloud computing, computer-aided diagnosis (CAD) methods, specialized image-assisted surgical, and radiation therapy technologies.RESULTS: Five simulators will be discussed in this tutorial. The PACS-ePR simulator with image distribution is the cradle of the other simulators. It supplies the necessary PACS-based ingredients and data security for the development of four other simulators: the data grid simulator for molecular imaging, CAD-PACS, radiation therapy simulator, and image-assisted surgery simulator. The purpose and benefits of each simulator with respect to its clinical relevance are presented.CONCLUSION: The concept, design, and development of these five simulators have been implemented in laboratory settings for education and training. Some of them have been extended to clinical applications in hospital environments.

Resumo Limpo

rpose medic imag informat infrastructur miii platform organ method select tool synthes data hisrispacsepr system aim develop imagingbas diagnosi treatment system evalu analysi system can made effici design implement imag informat simul tutori introduc miii platform provid definit treatmentdiagnosi system primarili focus develop relat simulatorsmethod medic imag informat mii simul context defin system integr mani select imag data compon miii platform clinic treatment protocol can use simul patient workflow data flow start diagnost procedur complet treatment process dicom hl standard ihe workflow profil webbas tool emphas inform collect databas specif simul evidencebas medicin can hypothes choos integr optim clinic decis support compon relev select clinic resourc addit data tool hisrispac epr platform may also tailor develop simul resourc can includ imag content index d render visual data grid cloud comput computeraid diagnosi cad method special imageassist surgic radiat therapi technologiesresult five simul will discuss tutori pacsepr simul imag distribut cradl simul suppli necessari pacsbas ingredi data secur develop four simul data grid simul molecular imag cadpac radiat therapi simul imageassist surgeri simul purpos benefit simul respect clinic relev presentedconclus concept design develop five simul implement laboratori set educ train extend clinic applic hospit environ

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