Health IT Analytics October 3, 2023
Data storage, management, and analysis are three of the most crucial steps in a healthcare analytics project, but what does each entail?
The data lifecycle drives data analytics projects across industries, and healthcare is no exception. Healthcare stakeholders need to have a firm grasp on each of the steps in the cycle — data generation, collection, processing, storage, management, analysis, visualization, interpretation, and disposal — for their analytics initiatives to succeed.
This is the second installment in a series devoted to the healthcare data lifecycle, following the first, which explored the data generation, collection, and processing phases.
Here, HealthITAnalytics will dive into data storage, management, and analysis.
DATA STORAGE
Data storage is the “magnetic, optical or mechanical media that...
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