Commentary / Editorial
Innovative Data Science to Transform Health Care: All the Pieces Matter
Authors:
Andrew L. Masica ,
Center for Clinical Effectiveness, Baylor Scott and White Health, Dallas, TX, US
About Andrew L.
MD, MSCI
José J. Escarce
Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA; Department of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA, 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.
Publisher's Note:
This article was amended on 6th September 2019 to correct an incorrect citation. "Immergluck et. al" has been changed to "Cramer, Seneviratne and Sharifi".
How to Cite:
Masica AL, Escarce JJ. Innovative Data Science to Transform Health Care: All the Pieces Matter. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):47. DOI: http://doi.org/10.5334/egems.314
