Data modernization in healthcare is a comprehensive strategy to modernize data, technology, and the workforce’s capabilities. It is an essential step for supporting public health surveillance, research, and decision-making. Big data modernization plays a critical role in addressing the following questions:
How to improve the data quality?
How to integrate emerging technologies more effectively?
How to reduce the burden on data partners?
How to better coordinate data activities and systems?
Know anyone building innovative solutions that belong in this 'Data Modernization'?
The CMS interoperability mandate requiring health insurance providers to share data with consumers is now in effect, and more mandates are coming down the road. With the liberation of data from silos and the incorporation of data into new sources such as digital health applications, health insurance providers and health care are at a turning point. Health care doesn’t have a data shortage problem; it has a data management issue.
Our panelists will discuss data transformation and tackling issues related to data quality, curation and standardization, and how these things impact insights and member experience.
Recent scientific and biomedical advances—from genomic sequencing to development of cell and gene therapies and nanotechnologies— have brought the promise of significant improvements to the health of …
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