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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Innovative Data Science to Transform Health Care: All the Pieces Matter
Andrew L Masica1, José J Escarce2,3
1Center for Clinical Effectiveness, Baylor Scott and White Health, Dallas, TX, US.
Abstract:
This issue of eGEMS focuses on application of data science as a driver of health care transformation. Importantly, quantitative or qualitative analysis with a particular method is only one downstream step in the process of leveraging data. Effective analytics occurs on a continuum with multiple complementary phases, categorized here as data acquisition, ensuring or enhancing data access and usability, data analysis, and dissemination. Each of these activities is encompassed in the series of papers presented.
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