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Epstein Institute/ISE 651 Seminar Series
Tue, Mar 11, 2014 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Lisa Maillart, University of Pittsburgh
Talk Title: Dynamic Abandon/Extract Decisions for Failed Cardiac Device Leads
Abstract: Pacemaker and defibrillator lead wires fail stochastically, requiring the surgical implantation of a new lead. Whenever a lead fails, it may be beneficial to extract one or more of the failed leads currently implanted, including previously abandoned leads. Extracting a lead carries life-threatening risks that increase in the dwell time of the lead. However, there are situations in which extraction is not optional: the total number of implanted leads (both failed and functioning) is subject to a maximum limit, typically five, and infections can occur requiring the mandatory extraction of all implanted leads. To study the tradeoff between avoiding risky extractions and maintaining space for future leads, we develop Markov decision process models to determine patient-specific extraction policies for various types of cardiac devices as a function of patient age and the age of every implanted lead. We use clinical data to calibrate the model and present insightful numerical results, including comparisons to heuristics commonly used in practice.
TUESDAY, MARCH 11, 2014
VON KLEINSMID CENTER (VKC) ROOM 100
3:30 - 4:50 PM
Biography: Expertise: Stochastic Optimization, Maintenance Optimization, Medical Decision Making.
Profile: Dr. Maillart joined the faculty in 2006. She completed her BS and MS in industrial and systems engineering at Virginia Tech and her PhD in industrial and operations engineering at the University of Michigan. Prior to joining the Department of Industrial Engineering at the University of Pittsburgh, Dr. Maillart was a faculty member in the Department of Operations at Case Western Reserve University�s Weatherhead School of Management. Dr. Maillart's primary research interest is in decision making under uncertainty. Her research typically involves applications of Markov decision processes and stochastic processes to problems in maintenance optimization, medical decision making, sports and entrepreneurship.
Host: Daniel J. Epstein Department of Industrial and Systems Engineering
More Information: Seminar-Maillart.pdf
Location: Von Kleinsmid Center For International & Public Affairs (VKC) - 100
Audiences: Everyone Is Invited
Contact: Neha Mundada
