Health Analytics: From Data to Decision Making

Serban, Nicoleta

Title:

Health Analytics: From Data to Decision Making

dc.contributor.author	Serban, Nicoleta
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Bioengineering and Bioscience	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Industrial and Systems Engineering	en_US
dc.date.accessioned	2020-04-02T18:32:13Z
dc.date.available	2020-04-02T18:32:13Z
dc.date.issued	2020-03-10
dc.description	Presented on March 10, 2020 at 8:30 a.m. in the Parker H. Petit Institute for Bioengineering and Bioscience, Room 1128, Georgia Tech.	en_US
dc.description	Parker H. Petit Institute for Bioengineering and Bioscience (IBB) Breakfast Club Seminar Series.	en_US
dc.description	Nicoleta Serban is Virginia C. and Joseph C. Mello Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Dr. Serban's education and research trajectory makes her unique in the pursuit of data-driven discovery endeavors. Her research record is quite diverse, from mathematical statistics to modeling to data analysis to statistical learning, with recent contributions on drawing principled inferences on healthcare delivery and health policy. She has also been involved in broad impact research activities; the most noteworthy is the leadership of the Health Analytics initiative (http://www.healthanalytics.gatech.edu). This is a collaborative effort anchored in partnership with a varied network of clinicians, healthcare providers, and public health entities. To date, she has published more than 55 journal articles, and a collaborative (with Dr. William B. Rouse) book titled Understanding and Managing the Complexity of Healthcare published by MIT Press and single-authored book titled Healthcare System Access: Measurement, Inference and Intervention published by Wiley. She is the editor for physical sciences, engineering, and the environment for the Annals of Applied Statistics Journal. She has reviewed for multiple funding agencies and she has served in multiple workshops and meetings organized by the National Academies.	en_US
dc.description	Runtime: 26:36 minutes
dc.description.abstract	Nicoleta Serban's research interests on Health Analytics span various dimensions including large-scale data representation with a focus on processing patient-level health information into data features dictated by various considerations, such as data-generation process and data sparsity; machine learning and statistical modeling to acquire knowledge from a compilation of health-related datasets with a focus on geographic and temporal variations; and integration of statistical estimates into informed decision making in healthcare delivery and into managing the complexity of the healthcare system.	en_US
dc.format.extent	26:36 minutes
dc.identifier.uri	http://hdl.handle.net/1853/62540
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Petit Institute Breakfast Club Seminar Series
dc.subject	Decision making	en_US
dc.subject	Health analytics	en_US
dc.subject	Health policy	en_US
dc.subject	Medicaid	en_US
dc.title	Health Analytics: From Data to Decision Making	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.author	Serban, Nicoleta
local.contributor.corporatename	Parker H. Petit Institute for Bioengineering and Bioscience
local.relation.ispartofseries	Petit Institute Breakfast Club Seminar Series
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relation.isOrgUnitOfPublication	d978f252-ad5a-4fe6-a735-21050b2d760e
relation.isSeriesOfPublication	037a6ee9-c6f0-4f20-abb8-e229d98f6754