Health IT Analytics October 4, 2023
Following healthcare data analysis, stakeholders must properly visualize, interpret, and dispose of information according to established best practices.
The success of a healthcare analytics project is predicated on how well project stakeholders navigate the data lifecycle, which consists of data generation, collection, processing, storage, management, analysis, visualization, interpretation, and disposal.
Many of the steps ensure that the analysis itself is high-quality, but the end-of-cycle phases are necessary for the results of the analysis to be communicated effectively and the data used in the project handled appropriately.
This is the final installment in a series diving into the healthcare data cycle, the first of which detailed the generation, collection, and processing phases, while the second described data storage, management, and analysis.
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