Supporting the internet-based evaluation of research software with cloud infrastructure

Data & Knowledge Engineering

Vonk

Grefen

2012

Self Cite

This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThe literature on monitoring of cross-organizational processes, executed within business networks, considers monitoring only in the network formation phase, since network establishment determines what can be monitored during process execution. In particular, the impact of evolution in such networks on monitoring is not considered. When a business network evolves, e.g. contracts are introduced, updated, or dropped, or actors join or leave the network, the monitoring requirements of the network actors change as well. As a result, the monitorability of processes in the network may be disrupted. This paper proposes a framework to solve the problem of preserving the monitorability of processes in an evolving business network. We first propose a formal model of business networks, contracts, and monitoring requirements. Then, we model network evolution and the mechanisms to preserve the monitorability of the processes in the network for different types of evolution. In particular, the preservation of monitorability requires the actors in the network to take appropriate actions in case of dependencies between already established contracts, and update their monitoring infrastructure to satisfy the new monitoring requirements introduced by evolution. We also define a set of metrics that can be used for supporting decisions regarding the potential evolution of a business network. A case study in healthcare and the discussion of a prototype implementation show the applicability of our framework in real-world scenarios.

Section: Prototype Implementationmentioning

confidence: 99%

Measures and mechanisms for process monitoring in evolving business networks

Data & Knowledge Engineering

Vonk

Grefen

2012

Self Cite

“…The prototype reuses parts of SHARE 2 , a mature system for making computational research results more accessible and reproducible [13]. The key technological components have therefore already undergone various development cycles and its technical architecture is considered robust.…”

Section: A Cloud-based Phr System Prototypementioning

confidence: 99%

“…To evaluate this functionality in the prototype, one should click create in the main MyPHRMachines menu (cfr., Figure 3). Since the associated workflow is inherited from the SHARE codebase, further details have been published already [13]. While our running example is based on DICOM content, MyPHRMachines can be used by our patient to store and make available any kind of personal health information generated in a lifetime.…”

Section: Running Example Revisitedmentioning

confidence: 99%

MyPHRMachines: Lifelong Personal Health Records in the cloud

Gorp

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

2012

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Personal Health Records (PHRs) should remain the lifelong property of patients and should be showable conveniently and securely to selected caregivers. Regarding interoperability, current solutions for PHRs focus on standard data exchange formats and transformations to move data across health information systems. In this paper we propose MyPHRMachines, a patient-centric system that takes a radically new architectural solution to health record interoperability. We propose to deploy besides the medical data also the related software to the PHR system. After uploading their medical data to MyPHRMachines, patients can access them again from remote virtual machines that contain the right software to visualize and analyze them without any conversion. Patients can share their remote virtual machine session with a selected health provider, who will need only a Web browser to access the pre-loaded fragments of the lifelong PHR. We illustrate how our prototype already supports the use case of a real-world patient and discuss the research agenda required to translate this prototype into a viable solution for the international healthcare industry.

“…The prototype reuses parts of SHARE [15], a mature system for making computational research results more accessible and reproducible. The key technological components have therefore undergone various development cycles, which adds to the robustness of MyPHRMachines technical architecture.…”

Section: Design and Implementation Of Myphrmachinesmentioning

confidence: 99%

Lifelong Personal Health Data and Application Software via Virtual Machines in the Cloud

Gorp

IEEE J. Biomed. Health Inform.

2014

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-Personal Health Records (PHRs) should remain the lifelong property of patients, who should be enabled to show them conveniently and securely to selected caregivers and institutions. In this paper we present MyPHRMachines, a cloud-based PHR system taking a radically new architectural solution to health record portability. In MyPHRMachines, health-related data and the application software to view and/or analyze it are separately deployed in the PHR system. After uploading their medical data to MyPHRMachines, patients can access them again from remote virtual machines that contain the right software to visualize and analyze them without any need for conversion. Patients can share their remote virtual machine session with selected caregivers, who will need only a Web browser to access the pre-loaded fragments of their lifelong PHR. We discuss a prototype of MyPHRMachines applied to two use cases, i.e. radiology image sharing and personalized medicine. Permanent repository link