Updated Omni-Patient Addresses the Need for Complete Healthcare Data Management

By CIOReview | Tuesday, March 1, 2016
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LAS VEGAS, NV: The amount of data produced by healthcare systems is enormous and usually scattered across in various formats. This adds upto healthcare personnel finding effective data management a challenging task in itself. It is of immense significance to ensure the data is accurate and consistent as it directly related towards driving business goals like enhancing quality of care, optimizing operations, or increasing revenues. Information Builders, provider of business intelligence (BI) and analytics, information integrity, and data integration solutions surface in this context with their plans to launch an updated Omni-Patient offering

An information management solution, Omni-Patient integrates and cleanses disparate sets of healthcare data, including multiple electronic medical records (EMRs) as well as financial and HR systems. It resolves the need for a multi-domain repository containing mastered subjects and transactional subjects organized into business domains, including clinical, financial, patient, provider, payer, facility, and more. Omni-patient paints a precise and integrated picture of each domain, enabling an all-round view of mastered subjects, their origin from source records and their history over time. Moreover, it integrates views over the repository so that clients can make use of business intelligence and analytics of the data.

“Omni-Patient is designed specifically to give providers means and ways to integrate, cleanse, and master disparate data sources, and by doing so to enable trustworthy analytics across the spectrum of care in order to achieve these goals,” said Gregory Dorman, Senior Vice President and General Manager, iWay Software.

The underlying aim of the latest update is to design product features in a way that guarantees reduced costs and durations of products’ implementation cycles. The focus lies on simplification of integration tasks and methodologies, improved performance, and increased ease of data stewardship and data quality operations. A number of enhancements have been added to the data repository model, comprising of additional data subjects and elements, as well as more powerful structures for handling codes and code sets, which are prevalent in healthcare systems.