THOMSON REUTERS HIE SOLUTION

 

The Thomson Reuters HIE solution provides a flexible, scalable technology platform for the deployment of a health information exchange (HIE). Our solution employs a federated service-oriented architecture (SOA) that connects fragmented clinical and administrative data to deliver a unified, integrated, and analytically ready view of a patient’s entire care continuum.

CONFIGURABLE OFF-THE-SHELF SOLUTION
The Thomson Reuters HIE solution is designed with a configurable off-the-shelf (COTS) product architecture to optimize delivery and minimize the need to spend scarce dollars on one-off consulting, project design, and custom development. As a result, you can leverage the existing infrastructure across various hospital-based or community health exchanges.

SCALABLE PLATFORM
Our solution components are intended to scale as the volume of users increases, using a sophisticated priority-tasking and queuing architecture that effectively quantizes the work the system does. The components operate with a configurable number of threads on task queues to allow for scaling up on a single multiprocessor machine. Multiple instances of these components can also operate on multiple machines, thereby allowing for scaling out. This enables independent tasks to be processed in parallel.

ADDITIONAL FUNCTIONALITY
Underlying our HIE platform is the ability to:

  • •  link clinical and administrative data
  • •  apply data standardization that enables analytical readiness
  • •  select specific clinical and administrative data fields for inclusion in a centralized decision support database
  • •  develop reliable measures for evaluating and demonstrating meaningful use, measuring quality outcomes, and validating cost savings
We can also mine retrospective data to apply evidence-based guidelines and identify care practices that can be improved to increase quality and safety. These findings can be inserted back into the HIE and then embedded into point-of-care systems to support decision making among providers, clinicians, and patients.