Technology | December 21, 2011

RealTime Medical Unveils Enhanced DiaShare Workflow Software

December 21, 2011 — RealTime Medical featured its latest advancements in cross-platform, automated shared workflow at RSNA 2011. It showed software solutions with applicability to workflow orchestration and remote diagnosis applications, including teleradiology, telecardiology, telepathology, teledermatology and teleophthalmology networks.

In collaboration with Accenture, RealTime has deployed its DiaShare software platform in Spain and the U.K., with similar projects also underway in the United States. DiaShare is a cross-platform, automated shared workflow, dynamic workflow assignment and workload balancing platform.

The Madrid, Spain implementation spanned eight hospitals and two different picture archiving and communications system (PACS) solutions. The entire deployment was carried out remotely by the RealTime Medical team, and was completed within 2.5 months, including translation of DiaShare into Spanish.

The software is compatible with standards-based systems, across any number of PACS, radiology information system/health information system (RIS/HIS) or equivalent infrastructures; it can be applied in radiology, cardiology, pathology, dermatology, and ophthalmology.

It dynamically balances and optimizes system-wide image acquisition, exam assignment, workload balancing and distribution. The system also features live coverage and schedule management between exam producers and diagnostic specialists; peer-to-peer and cross-institutional collaboration; and reporting and results management and billing. This makes DiaShare one of the first, functionally complete, end-to-end eDiagnosis solution platforms.

An additional software supplement, QAIC, enables advanced, automated quality assurance, improvement and cross-platform/cross-region collaboration workflows; these include over-reads, resident reads, pre-dictation 'ask a colleague' and anonymized peer review and feedback, including second/third and fourth reviews.

For example, QAIC enables anonymous post-distribution peer review and feedback amongst colleagues who use different native systems; it also supports the proactive, pre-distribution review of the accuracy of diagnostic results before they are reported.

For more information:

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