In the on-demand webinar series, Optimizing Infusion Center Scheduling, LeanTaaS Founder and CEO Mohan Giridharadas describes the operational fundamentals causing the inefficiencies common to infusion centers, and shares success stories that describe how leading infusion centers are using predictive analytics and data science to optimize operations in a way that EHRs are simply not equipped to do.
Learning Objectives: After this session, the participants will be able to:
- Identify the minimum set of operational parameters required to capture the constraints facing the infusion center.
- Discuss the use of historical data points to design templates for future appointment scheduling.
- Describe how and why optimal scheduling templates must be embedded into schedulers’ daily workflow.
In the first webinar of this series, we described the fundamental challenges faced by infusion centers across the country, and explained the basic operational factors causing these inefficiencies. During this webinar, the focus is a deep-dive into the parameters and data points required to optimize scheduling in the infusion center, and describe important factors for implementing optimized scheduling templates into workers’ days. Improvement of the inefficiencies improves patient flow.
| Presented by:
|Founder and CEO
As the founder and CEO of LeanTaaS, Mohan has worked closely with dozens of leading healthcare institutions including Stanford Health Care, UCHealth, UCSF, New-York Presbyterian and more. Mohan holds a B.Tech from IIT Bombay, an MS in Computer Science from Georgia Institute of Technology, and an MBA from Stanford Graduate School of Business. He is on the Faculty of Continuing Education at Stanford University and UC Berkeley Haas School of Business. Mohan has been named by Becker's Hospital Review as one of the top entrepreneurs innovating in Healthcare.