Health Systems: The Next Generation - Rapid Fire Research Presentations 2018

DuBose, Jennifer R.; Hughes, Danny; Inan, Omer T.; Li, Zihao; Styczynski, Mark P.

Title:

Health Systems: The Next Generation - Rapid Fire Research Presentations 2018

dc.contributor.author	DuBose, Jennifer R.
dc.contributor.author	Hughes, Danny
dc.contributor.author	Inan, Omer T.
dc.contributor.author	Li, Zihao
dc.contributor.author	Styczynski, Mark P.
dc.contributor.corporatename	Georgia Institute of Technology. Center for Health and Humanitarian Systems	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Chemical and Biomolecular Engineering	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Economics	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Electrical and Computer Engineering	en_US
dc.contributor.corporatename	Georgia Institute of Technology. SimTigrate Design Lab	en_US
dc.contributor.corporatename	Centers for Disease Control and Prevention (U.S.). National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention	en_US
dc.date.accessioned	2018-12-12T21:53:50Z
dc.date.available	2018-12-12T21:53:50Z
dc.date.issued	2018-11-09
dc.description	Presented on November 9, 2018, at 1:15 p.m. in the Roger A. and Helen B. Krone Engineered Biosystems Building (EBB Krone), Children's Healthcare of Atlanta (CHOA) Seminar Room, Georgia Tech, Atlanta, GA.	en_US
dc.description	2018 Health Systems: The Next Generation Forum - Rapid Fire Research Presentations	en_US
dc.description	Jennifer R. DuBose is the associate director of the SimTigrate Design Lab and principal research associate in the College of Design at the Georgia Institute of Technology. She is responsible for the operations of the Lab as well project development and research. Her research focuses on evidence-based design for healthcare facilities projects including the development of a business case for evidence-based design, collaboration on the exhaustive 2008 literature review on the subject and investigating the role of innovation in improving design for healthcare systems. She has worked on projects for the Robert Wood Johnson Foundation, the Military Health System and the Louisiana State University Hospital creating materials to support transformation of new hospitals based on emerging evidence. She has authored numerous peer-reviewed journal articles, several book chapters, and has been an invited speaker at national and international meetings.	en_US
dc.description	PRESENTATION TITLE: "Health Economics & Analytics Lab (HEAL)". Dr. Danny Hughes is a Professor in the School of Economics and Director of Georgia Tech’s Health Economics and Analytics Lab (HEAL). He also serves as Executive Director of the Harvey L. Neiman Health Policy Institute. His research focuses on the roles of technology, innovation, and incentives in the delivery and usage of health care services – with a specific focus on the economics of diagnostic imaging. His externally funded research has focused on exploiting large scale data to explore contemporary health policy issues. He has published over 80 articles in leading journals across economics, health services research, and operations research.	en_US
dc.description	PRESENTATION TITLE: "Physiological Sensing & Modulation For Human Health & Performance" Omer T. Inan is an Associate Professor of Electrical and Computer Engineering and Adjunct Associate Professor of Biomedical Engineering at Georgia Tech. He received his BS, MS, and PhD in Electrical Engineering from Stanford in 2004, 2005, and 2009, respectively. From 2009-2013, he was the Chief Engineer at Countryman Associates, Inc., a professional audio manufacturer of miniature microphones and high-end audio products for Broadway theaters, theme parks, and broadcast networks. He has received several major awards for his research including the NSF CAREER award, the ONR Young Investigator award, and the IEEE Sensors Council Early Career award. While at Stanford as an undergraduate, he was the school record holder and a three-time NCAA All-American in the discus throw.	en_US
dc.description	PRESENTATION TITLE: "HIV Prevention Modeling at the Centers for Disease Control and Prevention". Dr. Li is a Prevention Effectiveness Fellow at the Division of HIV/AIDS Prevention of CDC. His work focus on developing and improving HIV models, including an agent-based simulation model Progression and Transmission of HIV (PATH), a compartmental model HIV Optimization and Prevention Economics (HOPE) and a resource allocation model (RAMP). Dr. Li earned his PhD and MS degrees in Operations Research at Georgia Institute of Technology, and his dissertation applied mathematical and computer algorithms to the problem of allocating limited resources to people with preferences. He works with Georgia Tech professors and students to estimate the value of vaccine inventory and identify risk factors related to unplanned extubation.	en_US
dc.description	PRESENTATION TITLE: "Low-Cost, Equipment-Free, Low-Volume, Quantitative Diagnostic Blood Tests". Dr. Styczynski’s research focuses on the experimental and computational study of the dynamics and regulation of metabolism, with ultimate applications in metabolic engineering, biotechnology, and biosensors/diagnostics. Metabolism, which is the process of cells taking in nutrients and turning them into energy and the building blocks for more cells, is at the core of many biotechnological processes, as well as numerous diseases. The Styczynski lab studies the network of reactions that constitutes metabolism via “metabolomics”: measurement of the concentrations of the biochemical intermediates in that network — sugars, amino acids, etc. — that are direct, real-time readouts of cellular state. Tracking these intermediates over time reveals details about the cell’s metabolic dynamics that may then be used for modeling and analysis of metabolism. The group works with a variety of systems, including cancer cells, stem cells, yeast, and E. coli. The ultimate aim is to use an increased understanding of metabolic dynamics in order to exert control over the cells, whether by keeping cancer cells from proliferating or by metabolic engineering of yeast to overproduce valuable chemical feedstocks. The group also has significant efforts in synthetic biology, including its use in the context of metabolic engineering. They are currently developing the underlying technology for diagnostics that use bacteria as biosensors that generate pigments as a visible readout. This application requires significant metabolic engineering of the cells to precisely control their pigment production, in terms of both time and pathway utilization.	en_US
dc.description	Runtime: 55:26 minutes	en_US
dc.description.abstract	This event will focus on improving health systems, with a focus on promoting wellness in addition to treating disease, and how data and technology might enable and support a transformation. Through panel discussion, we will explore the theme of "Moving from Sick-care to Healthcare" and further dive into the topic of "Proactive Innovations Moving Healthcare Forward.” Rapid fire presentations and the poster sessions will showcase ideas for the future, allowing for dialogue and networking between presenters and participants.	en_US
dc.description.sponsorship	Georgia Institute of Technology. Center for Health and Humanitarian Systems	en_US
dc.description.sponsorship	Georgia Institute of Technology. School of Industrial and Systems Engineering	en_US
dc.description.sponsorship	Georgia Institute of Technology. Institute for People and Technology	en_US
dc.format.extent	55:26 minutes
dc.identifier.uri	http://hdl.handle.net/1853/60631
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	Health Systems: The Next Generation 2018	en_US
dc.subject	Big data	en_US
dc.subject	Built environment	en_US
dc.subject	Design	en_US
dc.subject	Diagnostics	en_US
dc.subject	Electrophysiology	en_US
dc.subject	Health economics	en_US
dc.subject	Healthcare	en_US
dc.subject	MEMS	en_US
dc.subject	Non-invasive sensing	en_US
dc.subject	Prevention modeling	en_US
dc.subject	Public health	en_US
dc.subject	Synthetic biology	en_US
dc.title	Health Systems: The Next Generation - Rapid Fire Research Presentations 2018	en_US
dc.type	Moving Image
dc.type.genre	Presentation
dspace.entity.type	Publication
local.contributor.author	Styczynski, Mark P.
local.contributor.author	Inan, Omer T.
local.contributor.corporatename	Center for Health and Humanitarian Systems
local.relation.ispartofseries	Health Systems: The Next Generation
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