Health Data Management and Governance
Provider organizations, researchers, payors, vendors and government entities are heavily dependent today on the analytical insights derived from the health data. This data often comes from variety of heterogeneous sources; the quality and cleanliness of the aggregated data is crucial in building meaningful analytics. Yet, companies and organizations often lack the necessary skills, resources and expertise to create a robust data governance structure around their data sources.
Rapid adoption of EHR systems means — more data, and more data usually means — more reporting and analytical processing. These analytical processes are often taxing for the infrastructure and IT resources in an organization.
Most EHR vendors provide some form of support for creating and managing reporting and analytical insights but rarely focused on comprehensive tools for organizing analytical assets across all sources and managing underlying infrastructure.
Aggregating all analytical inventory from all sources into a unified and searchable Catalog is a critical step an organization can make in support of Data Governance and infrastructure management efforts. The metadata for each analytical asset in the catalog should include clinical and financial metrics, sources of data, infrastructure components the asset relies on, dependencies between assets and many more elements.
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Head of Healthcare IT practice
Anatoly is the Head of the Global Healthcare Practice at First Line Software, where he oversees and brings together company’s engagements in Healthcare and Life Sciences under single leadership. Anatoly has more than 30 years of technology, product development, and solutions delivery experience, including over 18 years in the Healthcare Industry.