Post-Bariatric Surgery Improvements

The Mayo Clinic Health System (MCHS) – Mankato Bariatric Surgery program was accredited as a Comprehensive Center through the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) in 2015. As part of the Accreditation and Quality Improvement Program, Management Engineering and Consulting (ME&C) was engaged in an improvement initiative with a goal to reduce post-bariatric surgery Emergency Department visits from 28.4% to 21.3%. Currently, the center performs close to 100 surgeries per year.  The center also received the Blue Distinction Center designation from BlueCross BlueShield Association in 2019, which enables increased patient referrals to the MCHS – Mankato program. Join speakers Pawan Bhandari, Senior Health Systems Engineer, Dr. Megan Gilmore, bariatric surgeon and host Tony Chihak as they dive into the improvement project.

Post-ICU Clinic

Approximately 40% of ICU survivors experience debilitating long-term consequences associated with their critical illness and its treatments.  Post-intensive care syndrome (PICS) is a term that describes the cognitive, psychological, physical and other consequences that plague ICU survivors.  Post-ICU impairments are often undiagnosed and inadequately treated, and ICU survivors are at high risk for hospital readmission.   

ME&C was engaged to assist with starting a new program at Mayo Clinic called the Mayo Clinic ICU Recovery Program (MCIRP). ME&C assisted with the development of the in-person clinic throughout 2019 and began a virtual clinic model beginning in January, 2020. Hannah Lechner, Principle Health Systems Engineer and host Jodi Grimm dive deeper into this unique program.

ME&C Diversity Strategies & Approaches

Valuing equity, diversity, and inclusion means creating an workplace that respects and includes differences, recognizing the unique contributions that individuals with many types of differences can make, and creating a work environment that maximizes the potential of all employees. Equity, diversity, and inclusion are no longer optional – they’re imperative. Speakers Sarah Dhanorker, Unit Head, Rachel Martin, Senior Principle Health Systems Engineer, Heidi Borgwardt, Senior Health Systems Engineer and host Tony Chihak showcase the efforts Mayo Clinic and Management Engineering and Consulting are making to embed these principles within the organization’s culture. 

AI FAST Program

FAST Program is Mayo Clinic’s pioneering initiative, led by Department of Radiology to support the development and deployment of AI algorithms in the clinical practice. The Program uses a portfolio strategy to identify priority algorithms and implement them into the clinical practice. The program has succeeded in defining the technical, clinical and regulatory pathway in translating AI algorithms for clinical use and serves as a blueprint for other departments interested in AI applications in care delivery. In this episode, our speaker Sana Khalid, Senior Health Systems Engineer and host Tony Chihak discuss the development and implementation of the AI FAST program.

Advanced Care at Home

Mayo Clinic has developed an advanced care at home program. This model of care provides comprehensive treatment and recovery service to patients in their own home, and will allow patients who are “sick, but stable” to have the option of recovering where they are most comfortable: At home. Aligned with Mayo Clinic’s 2030 strategy, advanced care at home is expected to transform the delivery of care by revolutionizing the location and logistics of acute care delivery for patients with serious or complex illnesses for both Mayo and the health care system overall.

In this episode, our speakers Prerna Dean and Joel Roberts, Senior Health Systems Engineers, Arnold Blauert, Senior Project Manager along with our host Jodi Grimm talk about how Mayo Clinic providers will leverage cutting edge technology platform and an ecosystem of support services to care for patients in a home environment.

Transforming Complex Multispecialty Practice Through Systems Engineering

Children with complex congenital or acquired conditions affecting breathing, swallowing, and growth often required multispecialist care that is costly and complex, characterized by multiple procedures, heavy reliance on technology and frequent hospitalizations. Today, these kids often start their care journey in the Aerodigestive Clinic but up till 2018 there was lack of a national consensus definition of an aerodigestive patient. Many healthcare institutions also lacked standardized structure or functions of an aerodigestive program prior to that point. This is a story of how a determined group of clinicians partnered with their health systems engineer 8 years ago to completely transform the practice model for evaluation of children with aerodigestive issues. Using systems engineering principles, the team created a patient-centered multispecialty practice that reduced turn-around-time for diagnostic evaluation from a median of 150 days to 6 days. 

Mayo Clinic Outpatient Practice Modeling

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.

COVID-19 Visitor Screening

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.

Enhanced EHR-Facilitated Cancer Symptom Control

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.

Drive-Thru Anti-coagulation Testing

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.