How Patient Advocacy Organizations Can Facilitate Systems Design, Implementation, and Adoption to Improve Patient Outcomes”

– Dr. Jerome Jourquin

Abstract: Integrating different types of data including electronic health records, imaging data, administrative and claims databases, large data repositories, the “internet of things,” genomics, and other –omics data is both a challenge and an opportunity that must be tackled head on. This talk will explore some of the challenges and opportunities we have in optimizing data integration to accelerate breast cancer discovery and improve patient outcomes. Susan G. Komen® convened three meetings (2015, 2017, and 2018) with various stakeholders to discuss challenges, opportunities, and next steps to enhance the use of big data in the field of breast cancer. Meeting participants agreed integrative big data approaches can enhance the identification of better therapies, improve outcomes, reduce disparities, and optimize precision medicine. The challenge is databases must be shared, linked with each other, standardized, and interoperable. Patients want to be active participants in research and their care, and to control how their data are used. Many patients have privacy concerns and do not understand how sharing their data can help effectively drive discovery. Public education is essential, and breast cancer researchers who are skilled in using and analyzing big data are needed. Patient advocacy organizations can play multiple roles to help maximize and leverage big data to better serve breast cancer patients. Komen is committed to educating patients on big data issues, encouraging data sharing by all stakeholders, assisting in training the next generation of data science breast cancer researchers, and funding research projects that will use real-life data in real time to revolutionize the way cancer is understood and treated.

Biographical Sketch:

Dr. Jerome Jourquin joined Susan G. Komen® in January of 2011 as a member of the team managing the money provided to breast cancer researchers around the world. In 2015, he managed the Komen Scholars, a group of breast cancer research and advocacy leaders guiding Komen as advisors. Since 2021, Dr. Jourquin is the Senior Director, Data Science, a position in which he oversees Komen’s Big Data for Breast Cancer (BD4BC) Initiative that aims at using big data to fuel scientific discoveries and accelerate the delivery of equitable, patient-focused care.

Prior to joining Komen, Dr. Jourquin completed a Masters in Bioinformatics at Vanderbilt University (2010), where he developed GLAD4U (http://bioinfo.vanderbilt.edu/glad4u/), a National Library of Medicine-awarded web-service designed to build prioritized gene lists based on user queries.  At Vanderbilt, Dr. Jourquin was also part of a multidisciplinary team of experimentalists, mathematicians, engineers, and bioinformaticists studying breast cancer invasion.  Dr. Jourquin, a French native, earned a Ph.D. in Neurosciences (Marseilles, 2003) and a Masters in Cell Biology and Animal Physiology (Paris, 1997). His research studies have been published in various scientific journals.

Capacity Allocation of Production Service Systems under Service-oriented Manufacturing (SOM) Paradigm

Dr. Zhibin Jiang

Abstract:

Service-oriented Manufacturing (SOM) is a new manufacturing paradigm that integrates manufacturing and services by offering customers products and their binging services, that is, Product Production Systems (PSSs). SOM is of great significance to enhance the competitiveness of manufacturing industry and promote the development of service industry. This talk focuses on one of key problems of operation management under SOM paradigm, that is, joint control policies for offering PSSs.  Firstly, we simply present the joint control policy problem of a single PSS, then we tackle this joint control policy problem while considering customer impenitence behavior. As the emphasis of the talk, we explore the optimal control policies for two PSSs and put forward three heuristics for practical application. We also extend the optimal control policies for two PSSs into more complicated PSSs scenarios. Finally, summations are made at end of the talk.

Biographical Sketch:

Dr. Zhibin Jiang is Dean of Institute of Industrial & System Engineering and Distinguished Professor of Antai College of Economics and Management, Shanghai Jiao Tong University. He obtained his Ph. D. degree in Manufacturing Engineering & Engineering Management from City University of Hong Kong in 1999. He is Changjiang Scholar Program Chair Professor of MOE China and Fellow of Institute of Industrial & System Engineers (IISE). He is Vice President of Chinese Industrial Engineering Society, Vice President of the Advisory Committee of IE Undergraduate Programs of Ministry Of Education, China, and Regional VP of IISE for Asia. He has finished or is undertaking 3 NSFC funded key projects, 8 NSFC funded projects, and over 20 other China national projects. He has also published about 300 papers and authored 5 books.