On-Demand Webinar

Medical Resource Optimization: Saving Lives During a Global Pandemic

About the webinar:

COVID-19 has taken the world by surprise bringing with it a lot of unprecedented challenges. Hospital systems have quickly activated pandemic response plans, paused non-emergency visits and elective surgeries, and implemented adaptive planning cycles. The crisis put an immediate strain on medical resources and exacerbated the already complex process of planning for a surge of infected patients. Will enough beds and ventilators be available? How many staff are themselves infected? How can providers triage and separate non-COVID patients?

Fortunately, health systems and government agencies have something they can use to help inform their decisions – analytics.

Analytics provides vital insights based on reliable, timely data. The ability to gather real-time data, continuously monitor demand and supply, and proactively manage resources will help officials properly allocate equipment and supplies for the treatment and recovery of patients.

Forecasting medical demand and optimizing response resources as well as projecting the spread of infection are essential to combat COVID-19 and mitigate its devastation. Analytical methods help project things like the next outbreak hotspots, the number of infected people who will require medical intervention, and the number of caregivers needed as the pandemic evolves. Ultimately, insights gleaned from analytics can help save lives.

Below are some of the pressing challenges that organizations need to overcome using Analytics:

  • Collect timely data for key medical resources such as hospital beds and critical care capacity, medical equipment, PPE and staffing. Not having this data hinders the identification of potential resource shortages. Analytics can help support organizations in their data collection through a flexible, customizable data ingestion and provisioning process.
  • Understand trends over time based on global, regional and local information to predict the spread of infections and associated demands on limited medical resources. Analytics can help organizations Integrate the information collected from the hospitals with data on infections rates and locations to provides up-to-date information about infection trends in comparison with available inventory. This analysis enables government and hospital officials to take action when needed to increase or reallocate hospital capacity and equipment. 
  • Anticipate medical resource needs such as hospital capacity, medical equipment and personnel. It can be challenging to optimize, prioritize and allocate resources to meet demand where and when it is most needed. SAS gives you the ability to gather information, continuously monitor demand and supply, and ensure proactive management of scarce resources.

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About the Experts


Host & Moderator:

Kristina Denoga
Philippines Customer Advisory
Business Analytics Practice Lead, SAS

Teena has been leading the Business Analytics Practice at SAS Philippines for 9 years. Her focus is to ensure that top tier customers are able to build and design a data-driven culture at the most fundamental levels of their processes.

She is passionately curious when understanding her customer’s challenges and converting them analytic possibilities. She ensures her customers have strong data literacy that drives key and strategic business decisions.

Her expertise is telling stories with data visualizations and providing meaningful insights that were otherwise unknown.


Greg Horne
Global Principal, Health Care, Global Practice, SAS

Greg is the SAS Global Principal for Health and is based out of Toronto, Canada- he joined SAS in August 2012.

Throughout his career, Greg has worked and become familiar with health care systems in the United Kingdom, Europe, North America and Australia. Greg began working as a Radiographer at the University College hospital in London, UK. He developed a passion for creating health systems built on quality and patient outcomes. As the Principal Consultant for Health Care, Greg has the opportunity to work with healthcare strategy and Artificial Intelligence in a way that focuses on outcomes as well as the cost, quality and other challenges that any modern health system faces. He is considered a thought leader in the future of health care and the introduction of patient focused technology.

Greg graduated with a Bachelors in Radiography from the University of Southampton, UK. He is the recipient of a Canadian award for his work on using unstructured data to predict mental health issues with social media.


Natalia Summerville
Sr. Manager - Operations Research Center of Excellence, SAS

Natalia is a Senior Manager in R&D at SAS. She leads a team that designs, develop and implement innovative optimization applications for a variety of industries such as Health Care, Transportation, Retail, Media among others. She is also an adjunct professor for Data Analytics at North Carolina State University. Natalia is deeply passionate about Data 4 Good initiatives and has been leading several advanced analytics implementations for Social Good over the years.


Jon Lemon
Solutions Specialist, Workforce Analytics Domain Expert, SAS

Upon joining SAS in August of 2007, Jon’s primary focus has been working with government and commercial customers to understand organizational effectiveness and their performance against stated objectives. He leverages his past experience to help customers implement industry leading performance management, workforce analytics, costing, and fraud prevention solutions through the integration of technology, processes, people, and methodologies. Prior to joining SAS, Mr. Lemon was a Budget Director at the Department of Homeland Security where he formulated, executed, and managed over $5 billion of appropriated funds annually. Jon also worked with Booz Allen Hamilton where he honed his skills in performance management and fraud detection and prevention while supporting various Chief Financial and Program Management Offices throughout multiple federal civilian and defense agencies. He earned his MBA degree from the Florida Institute of Technology and also holds a Finance Bachelor of Science degree from the University of North Carolina at Wilmington. 

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