Presented By: Industrial & Operations Engineering
IOE Lunch & Learn Seminar Series: Corey Lester, U-M College of Pharmacy
“Leveraging pharmacy and medication data to improve human health”
This event is open to all IOE faculty, staff, and PhD students. Lunch will be provided. In order to get an accurate count for food, please RSVP by Wednesday, October 23, 2019. Space is limited to 20 participants.
Title:
Leveraging pharmacy and medication data to improve human health
Abstract:
Following the life cycle of prescription drugs, from prescribing decisions to their associated outcomes, I discuss research opportunities and challenges in the medication use domain. I’ll focus on outpatient pharmacy (e.g., retail and mail-order environments) and share my past research designing and evaluating the use of technology on pharmacy practice outcomes. I share future directions in the field and cover relevant data generated by the industry. My primary goal for this lunch and learn is to communicate with IOE researchers and learn more about the perspectives of its faculty, researchers, and students in order to improve my own research and knowledge of the discipline. I hope that by introducing my work we can identify potential opportunities for collaboration. I have also identified several federal grant announcements that are relevant to medication safety, machines, and processes. I want to strengthen connections between Industrial and Operations Engineering and the College of Pharmacy.
Bio:
Corey Lester is a research assistant professor of clinical pharmacy at the University of Michigan College of Pharmacy. He received an MS and PhD in Social and Administrative Sciences from the University of Wisconsin-Madison, School of Pharmacy. Previously, he graduated with a PharmD from the University of Rhode Island in 2012. His area of interest focuses on improving medication use outcomes by preventing errors, improving pharmacist work, and optimizing drug therapy with machine knowledge. He is currently evaluating machine learning applications for transcribing electronic prescription directions, using a publicly available application programming interface to detect wrong drug selection errors, and determining the impact of these technologies on healthcare.
Title:
Leveraging pharmacy and medication data to improve human health
Abstract:
Following the life cycle of prescription drugs, from prescribing decisions to their associated outcomes, I discuss research opportunities and challenges in the medication use domain. I’ll focus on outpatient pharmacy (e.g., retail and mail-order environments) and share my past research designing and evaluating the use of technology on pharmacy practice outcomes. I share future directions in the field and cover relevant data generated by the industry. My primary goal for this lunch and learn is to communicate with IOE researchers and learn more about the perspectives of its faculty, researchers, and students in order to improve my own research and knowledge of the discipline. I hope that by introducing my work we can identify potential opportunities for collaboration. I have also identified several federal grant announcements that are relevant to medication safety, machines, and processes. I want to strengthen connections between Industrial and Operations Engineering and the College of Pharmacy.
Bio:
Corey Lester is a research assistant professor of clinical pharmacy at the University of Michigan College of Pharmacy. He received an MS and PhD in Social and Administrative Sciences from the University of Wisconsin-Madison, School of Pharmacy. Previously, he graduated with a PharmD from the University of Rhode Island in 2012. His area of interest focuses on improving medication use outcomes by preventing errors, improving pharmacist work, and optimizing drug therapy with machine knowledge. He is currently evaluating machine learning applications for transcribing electronic prescription directions, using a publicly available application programming interface to detect wrong drug selection errors, and determining the impact of these technologies on healthcare.
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