Mathematical optimization is a set of methods for identifying the best solution to a problem given real-world constraints. Such methods have been applied to a wide range of industries and business problems including capacity management, facility location, portfolio allocation, product recommendations, logistics, and scheduling among many others. Paired with emerging technologies like machine learning and artificial intelligence, optimization has immense potential to transform operational decision making in healthcare at scale.
Learn how mathematical optimization was used to address resource utilization and scheduling constraints in a multi-disciplinary clinical practice at Mayo Clinic in a post-COVID-19 environment. Our speakers include Senior Health Systems Engineers, Amrika Ramjewan, M.S. and Tarin Casadonte, M.S., as well as our host Tony Chihak.
To ensure the safety of patients and staff during the COVID-19 pandemic, Mayo Clinic rapidly developed methods for screening symptomatic patients entering the clinic and testing asymptomatic patients prior to their surgeries and procedures. In today’s episode, Senior Health Systems Engineer Steven Crowley describes how the new COVID-19 Advanced Screening Clinic was quickly created and operationalized to safely provide virtual care options for patients who fail entrance screening and to efficiently test asymptomatic patients for COVID-19.
Kelsey Wolff describes her involvement in a National Cancer Institute-funded project. The Enhanced, EHR facilitated Cancer Symptom Control study focused on implementing a new and complex, collaborative and EPIC-facilitated approach to symptom management in medical oncology. While this is technically a research study, it ultimately is Mayo Clinic’s new standard of care.
Nalini Krishnan describes her work in redesigning and creating a drive-up point of care INR testing site to safely monitor patients who take Warfarin. Applying all of the necessary precautions for patients and staff, the drive-up testing site ultimately reduced the 15-20 minute face-to-face encounter to a mostly virtual process taking only 5 minutes.
In today’s episode, Tony Chihak interviews Pawan Bhandari about how a Management Engineering and Consulting strategic partnership helped develop contingency plans for COVID-19 in record time. By assembling resources and information, confidence in surge plans was achieved across the region.
By mid-March 2020, it was clear COVID-19 was affecting skilled nursing facility residents at higher rates than other communities. In an effort to protect this vulnerable population, Mayo Clinic decided to test skilled nursing facility residents in their homes instead of having them travel to be tested. In today’s episode, Eva Fjerstad interviews Emily Bloomquist, Management Engineering & Consulting Project Manager, about how this multidisciplinary and complex process went from concept to deployment in less than a week.
Emergency Medicine TeleHealth is a growing and maturing platform designed to lower the overall cost of care by assessing the patient’s needs and coordinating the right care, at the right time, in the right location. Learn about the major steps involved in planning and development of Mayo Clinic’s EM Telehealth program to connect world-class, board-certified EM physicians with patients at remote facilities through video platforms to provide acute care diagnostics, procedures, pharmacotherapies, and disposition services in a cost-effective manner. Our speakers include Dr. Christopher Russi and Prerna Dean, Senior Health Systems Engineer as well as our host, Tony Chihak.
Medical experts consider expanded contact tracing a critical component of dealing with the Corona Virus. As we battle Covid-19 worldwide, Mayo Clinic has been racing to develop advanced tools for contact tracing. Today’s speaker, Megan Rensing, Health Systems Engineer, discusses a project resulting in an advanced contact tracing system in use at Mayo Clinic.