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Ivan Porro

Researcher at University of Genoa

Publications -  22
Citations -  444

Ivan Porro is an academic researcher from University of Genoa. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 7, co-authored 19 publications receiving 400 citations.

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A model to prioritize access to elective surgery on the basis of clinical urgency and waiting time.

TL;DR: The proposed SWALIS model allows homogeneous and standardized prioritization, enhancing transparency, efficiency and equity, and might represent a pragmatic approach towards surgical waiting lists, useful in both clinical practice and strategic resource management.
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Optimization and planning of operating theatre activities: an original definition of pathways and process modeling.

TL;DR: The optimization of OR activity planning is essential in order to manage the hospital’s waiting list and allows for the scheduling of about 30 % more patients than in actual practice, as well as to better exploit the OR efficiency, increasing the average operating room utilization rate up to 20 %.
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The DECIDE Science Gateway

TL;DR: The architecture and services of a Science Gateway developed in the context of the DECIDE project, which aims to support the medical community in its daily duties of patients’ examination and diagnosis, are reported on.
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An integrated environment for plastic surgery support: building virtual patients, simulating interventions, and supporting intraoperative decisions.

TL;DR: A fully integrated system which allows surgical simulation, planning, and support for computer-guided plastic surgery procedures starting from image acquisition to final intraoperative assistance and provides the user with a radiological workstation able to analyse patient medical images and case studies.
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A Grid-based solution for management and analysis of microarrays in distributed experiments.

TL;DR: From results, it emerges that the parallelization of the analysis process and the execution of parallel jobs on distributed computational resources actually improve the performances.