Nurse Scheduling in Healthcare Using Advanced Analytics
In this webinar, we will talk about using advanced analytics to schedule healthcare staff to provide optimal schedules that are financially beneficial to organizations keeping healthcare services as a top priority. We will also look at some client successes and spend some time on how scheduling can affect the bottom line of hospitals and other healthcare organizations
Derek CookSoftware Solutions Manager
Derek is a Technical Pre-Sales Engineer at Cresco International and specializes in our Brücke and Humming Sales solutions with experience in IBM’s analytical software suite. He graduated with a BBA degree in Information Technology Management and a certificate in Data Analytics from Texas Tech University in 2019.
Dr. Meysam CheraminOperations Research Specialist
Meysam is an operations research specialist with 7 years of experience in optimization, simulation, and data analytics. He has been providing consulting services that leverage operations research techniques based on the idea that all solutions should focus on return on investment, profit margin improvements, and new revenue opportunities. He is keen on solving business problems using a hybrid approach of analytics, modeling, and process improvement.
Meysam has built many optimization applications for various supply chain, healthcare, energy, and financial problems. Developing resilient supply chain networks for recycling permanent magnets, developing an operating
room scheduling application for hospitals, and developing trade promotion and pricing optimization applications for retailers are some of his past project experiences. Moreover, Meysam has developed Cresco’s Call Center Staffing Optimization application. Meysam’s technical toolbox includes Python, C++, C, CPLEX, Gurobi, FICO Xpress, GAMS, AMPL, CVX, R, SQL, SAS, MATLAB, and ARENA.
Meysam holds B.S. and M.S. degrees in Industrial Engineering from the Kharazmi University and Sharif University of Technology (Tehran, Iran). He has a Ph.D. in Systems and Industrial Engineering from the University of Arizona. He is the author of several academic papers on optimization under uncertainty, supply chain optimization, and healthcare scheduling.
Furthermore, he presented his work at several international conferences including the Institute for Operations Research and Management Sciences (INFORMS) and the Institute of Industrial and Systems Engineers (IISE). He also has a few years of experience in teaching optimization, simulation, and statistics at the university level.
Sanjeev has spent the last two decades consulting companies in technology and strategy around analytics and enterprise architecture. He has helped companies with data strategy, data governance, analytics & Data Science. He has led teams to deliver excellence for clients from strategy to implementation. His career began as a consultant working closely with technology which has allowed him to understand clients’ needs and the importance of generating ROI for continued business and partnerships.