A system for sharing routine surgical pathology specimens across institutions: the Shared Pathology Informatics Network

Drake, Thomas A.; Braun, Jonathan; Marchevsky, Alberto M.; Kohane, Isaac S.; Fletcher, Christopher D.�M.; Chueh, Henry C.; Beckwith, Bruce A.; Berkowicz, David; Kuo, Frank C.; Zeng, Qing; Balis, Ulysses J.; Holzbach, Ana; McMurry, Andrew; Gee, Connie E.; McDonald, Clement J.; Schadow, Gunther; Davis, Mary M.; Hattab, Eyas M.; Blevins, Lonnie; Hook, J. N.; Becich, Michael J.; Crowley, Rebecca S.; Taube, Sheila E.; Berman, Jules J.

doi:10.1016/j.humpath.2007.01.007

Cited by 37 publications

(13 citation statements)

References 15 publications

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“…One example is the Shared Health Research Information NEtwork (SHRINE) (Weber et al 2009), which is based on tools developed for the Shared Pathology Informatics Network (SPIN) (Namini et al 2004;Drake et al 2007). They expose the information needed for agreed upon analyses.…”

Section: Data Sharing Within Distributed Research Networkmentioning

confidence: 99%

Pediatric Biomedical Informatics

Hutton¹

2012

Translational Bioinformatics

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Aims and ScopeThe Book Series in Translational Bioinformatics is a powerful and integrative resource for understanding and translating discoveries and advances of genomic, transcriptomic, proteomic and bioinformatic technologies into the study of human diseases. The Series represents leading global opinions on the translation of bioinformatics sciences into both the clinical setting and descriptions to medical informatics. It presents the critical evidence to further understand the molecular mechanisms underlying organ or cell dysfunctions in human diseases, the results of genomic, transcriptomic, proteomic and bioinformatic studies from human tissues dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers, essential information on the identification and validation of novel drug targets and the application of tissue genomics, transcriptomics, proteomics and bioinformatics in drug efficacy and toxicity in clinical research.The Book Series in Translational Bioinformatics focuses on outstanding articles/chapters presenting significant recent works in genomic, transcriptomic, proteomic and bioinformatic profiles related to human organ or cell dysfunctions and clinical findings. The Series includes bioinformatics-driven molecular and cellular disease mechanisms, the understanding of human diseases and the improvement of patient prognoses. Additionally, it provides practical and useful study insights into and protocols of design and methodology. Series DescriptionTranslational bioinformatics is defined as the development of storage-related, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data in particular, into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics is the newly found knowledge from these integrative efforts that can be disseminated to a variety of stakeholders including biomedical scientists, clinicians, and patients. Issues related to database management, administration, or policy will be coordinated through the clinical research informatics domain. Analytic, storage-related, and interpretive methods should be used to improve predictions, early diagnostics, severity monitoring, therapeutic effects, and the prognosis of human diseases.

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Section: Data Sharing Within Distributed Research Networkmentioning

confidence: 99%

Pediatric Biomedical Informatics

Hutton¹

2012

Translational Bioinformatics

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“…Modern technology enables pathologists to do more creative and efficient work. If the advance in the molecular biologic technologies are examples for wet laboratory innovation, dry part of pathology laboratory innovation would be information technology such as telepathology, 15, 16 pathology shared across multiple institutions 17 and intelligent reporting system 18–20 . Moreover pathology informatics became a quantifiable tool for biologic signal 21 and plays a critical part of translational research 22 …”

Section: Pathology Pioneering Health Education and Medical Informaticsmentioning

confidence: 99%

Welcome to Basic and Applied Pathology (BAAP)!

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Young²,

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et al. 2008

Basic and Applied Pathology

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“…Previous large-scale biomedical informatics efforts such as the Cancer Biomedical Informatics Grid (caBIG) (13) and the Biomedical Informatics Research Network (BIRN) (14) have contributed to informatics advances supporting federated models of data and biospecimen exchange. Two of our institutions have previously collaborated on small-scale demonstration projects that validated the potential of this approach (15, 16). However, most previous efforts to develop federated data and biospecimen networks have focused more on information technology needs, and less on the complex regulatory, legal, security, privacy, and workflow requirements to support such infrastructures.…”

Section: Introductionmentioning

confidence: 99%

A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens

et al. 2015

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Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the TIES Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that is de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The network satisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network.

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A system for sharing routine surgical pathology specimens across institutions: the Shared Pathology Informatics Network

Cited by 37 publications

References 15 publications

Pediatric Biomedical Informatics

Pediatric Biomedical Informatics

Welcome to Basic and Applied Pathology (BAAP)!

A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens

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