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How has

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Spin evolved since the original formation of the Shared Pathology Informatics Network?

A1: Beyond searching for discarded Human Tissue, SPIN has been used for Biosurveillance, General Clinical Research, and Resource Discovery.

@See >> DEMOs and publications for specifics. <<

Spin has evolved into a general framework for constructing federated networks of data sources.  Spin's core feature is data-agnostic support for broadcasting queries and aggregating results, allowing collections of data sources to be treated as a single conceptual unit.

The Spin framework provides a plugin architecture to support specific types and sources of data.

Do Spin networks use

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a peer-to-peer (P2P) topology or a hub-spoke topology?

A2: SPIN Spin can support many network topologies concurrently in a single deployed system, including peer-to-peer and hub-and-spoke.  The same Spin node can be configured to participate at different points in different topologies simultaneously.

P2P models are often deployed when there are a limited number of institutions, at the expense that many routing table rules are needed.
The benefit of the pure p2p (fully meshed) topology is .  A fully-meshed P2P topology has the advantage that no single institution is the "super" and any node can go offline with 100% network tolerance.hub".  This is beneficial for political reasons, and avoids a hub being a single point of failure.  The downside is that more complex configuration is required.

Hub-and-spoke networks Hub-Spoke Networks are commonly used when there are a larger number of institutions which have previous trust agreements.
Hub-spoke networks have the advantage that less network maintainable is required, at the expense that some institutions have greater responsibility.where each one trusts the others.  Hub-and-spoke networks are simpler to configure, but create single points of failure - the hubs.

See Video Presentation by David Ortiz

Does Spin support searches for coded clinical data, free text medical notes, or other?

Spin has evolved from a pathology-specific utility to a generalized framework for query federation.  Spin is data-agnostic, and consequently is not intended to support specific data types by default.  However, applications written using Spin support querying for specific data types.  For example: Coded clinical data can be searched using the SHRINE system, including Demographics, Diagnoses(ICD9),Medications(RxNorm) and Lab values.  Medical free text can be searched using PSL and the SCRUBBER.

See Developer Guide by Clint Gilbert @See >>   Video Presentation by David Ortiz <<