Computational Medicine and Big Data Analytic

Eva K. Lee is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, and Director of the Center for Operations Research in Medicine and HealthCare, a center established through funds from the National Science Foundation and the Whitaker Foundation. The center focuses on biomedicine, public health, and defense, advancing domains from basic science to translational medical research; intelligent, quality, and cost-effective delivery; and medical preparedness and protection of critical infrastructures. She is a Distinguished Scholar in Health Systems, Health System Institute at Georgia Tech and Emory University. She is also the Co-Director of the Center for Health Organization Transformation, an NSF Industry/University Cooperative Research Center. Lee partners with hospital leaders to develop novel transformational strategies in delivery, quality, safety, operations efficiency, information management, change management and organizational learning.  Lee’s research focuses on mathematical programming, information technology, and computational algorithms for risk assessment, decision making, predictive analytics and knowledge discovery, and systems optimization.  She has made major contributions in advances to medical care and procedures, emergency response and medical preparedness, healthcare operations, and business operations transformation.

Dr. Lee serves on the National Preparedness and Response Science Board. She is the principle investigator of an online interoperable information exchange and decision support system for mass dispensing, emergency response, and casualty mitigation. The system integrates disease spread modeling with response processes and human behavior; and offers efficiency and quality assurance in operations and logistics performance. It currently has over 9000+ public health site users. Lee has also performed field work within the U.S. on mass dispensing design and evaluation, and has worked with local emergency responders and affected populations after Hurricane Katrina, the Haiti earthquake, the Fukushima Japan radiological disaster, and Hurricane Sandy. Lee has received multiple analytics and practice excellence awards including INFORMS Franz Edelman award, Daniel H Wagner prize for novel cancer therapeutics, bioterrorism emergency response dispensing for mass casualty mitigation, optimizing and transforming clinical workflow and patient care, vaccine immunity prediction, and reducing hospital acquired conditions. She has received seven patents on innovative medical systems and devices.  A brief glimpse of Dr. Lee’s healthcare work can be found in the following link: http://www2.isye.gatech.edu/~evakylee/Eva_Lee_Intl_Innovation_139_Research_Media_HR.pdf  - by Sophie Laggan, May 2014.

Enabling Context Aware Environments: Towards Smart  Health Provisioning

Francisco Falcone received his Telecommunication Engineering Degree (1999) and PhD in Communication Engineering (2005), both at the Public University of Navarre in Spain. From 1999 to 2000 he worked as Microwave Commissioning Engineer, Siemens-Italtel. From 2000 to 2008 he worked as Radio Network Engineer, Telefónica Móviles. In 2009 he co-founded Tafco Metawireless, From 2003 to 2009 he was also Assistant Lecturer at UPNA, becoming Associate Professor in 2009. His research area is artificial electromagnetic media, complex electromagnetic scenarios and wireless system analysis. He has over 400 contributions in journal and conference publications. He has been recipient of the CST Best Paper Award in 2003 and 2005, Best PhD in 2006 awarded by the Colegio Oficial de Ingenieros de Telecomunicación, Doctorate award 2004-2006 awarded by UPNA, Juan Lopez de Peñalver Young Researcher Award 2010 awarded by the Royal Academy of Engineering of Spain and Premio Talgo 2012 for Technological Innovation.

Key Performance Indicators and their Optimal Performance

David Stanford is a Full Professor in the Department of Statistical & Actuarial Sciences at Western University, specializing in queueing theory.  He has been at Western since 1988. His interests in modelling waiting times in health care systems date to 2004, when the Canadian federal-provincial accord on improving patient access was signed. He is particularly interested in Emergency Department (A &E) waiting times, organ transplant waiting times, specialized wards to improve patient flow, and the development of service / treatment disciplines to conform to health care wait times.
He has consulted on several occasions for the health care ministries in the Canadian provinces of Newfoundland & Labrador and Saskatchewan on medical imaging, endoscopy suites, and inferring the time for referral from billing data. His international research liaisons in health care have taken him to Australia, the Netherlands, New Zealand,  South Korea,  the United Kingdom, and the United States.
Following his PhD in 1981 from Carleton University in Ottawa, he worked at Bell-Northern Research on queueing analyses of switching systems and operator pools.  He considers that his main methodological contribution to be the 2014 Queueing Systems paper with Peter Taylor of Melbourne University and Ilze Ziedins of Auckland University on the Accumulating Priority Queue. His preferred applied contribution to date is his work in transplant queues, most notably his 2014 Operations Research for Health Care paper establishing the impact of blood type and cross-transplantation on patient waiting times.
David Stanford has also prepare two short  videos on health care wait times in the public domain. The first, for the Health Council of Canada, is on “How queueing theory can influence wait times”, for which both English and French versions exist.  The second relates to a project called Research2Reality intended to raise interest in research careers in Science.
David Stanford’s teaching was recognized in 1999 with a Scotiabank / UWO Alumni Association / University Students’ Council Award of Excellence in Undergraduate Teaching. He is a past president of the Canadian Operational Research Society (CORS), and a recipient of the CORS Service Award.
Assorted resources and links can be found at his website http://www.stats.uwo.ca/faculty/stanford/