Technology with a pedigree
Sibyl is a product of macro-eyes, a Seattle-based machine learning company. Her core technology was developed through work at Stanford, MIT, and at one of the largest health systems in the US.
Core technology is now live at leading academic medical centers in New York City and California. Sibyl is currently being deployed at community health centers throughout the United States.
To date, Sibyl has analyzed 3 million appointments and core technology touches 1,000,000 medical records.
The biggest problem in healthcare
No-Shows are estimated to cost healthcare providers $150B each year. For many clinics, No-Shows represent more than $1M in lost revenue every 12 months.
And the problem is more than just financial: Patients get frustrated with long waits to see a doctor, and doctors get frustrated with out-of-control schedules.
Persistent No-Shows can cause clinic efficiency to plummet and drag staff morale down with it. Worst of all, patients don’t get access to the care they need.
When the macro-eyes team understood the degree to which patient no-shows damaged operations and restricted access to care, they turned the power of their technology and expertise to solving this problem at the foundation of care, and Sibyl was born.
Sibyl in East Africa
In November of 2017, the Bill and Melinda Gates Foundation awarded macro-eyes a Grand Challenges Explorations Grant to deploy a version of Sibyl in East Africa. Innovative macro-eyes technology will help immunization efforts for in-need populations.
By accurately predicting patient demand, Sibyl will be able to recommend the delivery of the right supply levels of vaccines, reducing waste and increasing opportunities for immunization.
A team of experts
CEO Benjamin Thelonious Fels is an expert on applying statistical machine learning to solve hard problems like patient scheduling. He has worked with physicians, administrators and scientists to deploy macro-eyes technology at leading academic medical centers across America.
He has lectured on applied machine learning at the University of Washington and the Kidney Research Institute. Benjamin graduated from Wesleyan University.
Chief Scientist Suvrit Sra, PhD is an expert on large-scale machine learning and optimization. He is an Assistant Professor at MIT in the Department of Electrical Engineering and Computer Science and a core faculty member in the MIT Institute for Data, Systems, and Society.
Suvrit received his PhD in Computer Science from the University of Texas at Austin and has served as visiting faculty at UC Berkeley and Carnegie Mellon.
Chief Medical Officer Frederic Bahnson, MD, FACS is a general surgeon in Oregon and an expert in the surgical care of traumatically injured patients. He serves as Chief of Surgery, Samaritan Albany General Hospital. Dr. Bahnson graduated Reed College in Physics and was employed as a systems and R&D engineer before receiving his medical training at Oregon Health and Science University.
He is medical adviser for data analytics to Samaritan Health Services, where he serves on the Data Governance Council.
Chief Design Officer Sebastian Kaupert is an expert on the use of design thinking and intelligent interfaces in healthcare. He has a particular focus on thinking through how healthcare, as an industry, can make best use of data.
He has worked with Novartis, Boehringer Ingelheim, Johnson & Johnson and GSK, and built the user-interface design and branding strategy for one of the first personal health data products.
Chief Commercial Officer Drew Arenth, MBA is an expert in modernizing supply chains. Drew worked as a research consultant for Intellectual Ventures/Global Good, and was a Principal at Providence Health and Services, leading design and execution of strategic organizational initiatives.
He received his MBA from the University of Washington Foster School of Business.
Lead Technologist Johannes Kitschke is an expert in high-performance computing. He holds a Bachelor of Science in Naval Architecture from Hamburg University of Technology, Germany and a Master of Science in Computational Engineering Science from RWTH Aachen University in Aachen, Germany.
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