Boston Medical Center faced the same challenge many systems are grappling with: beds staying full longer than necessary because getting patients home safely took too long.
BMC turned to AI to transform how teams identify patients ready for home and proactively coordinate their transitions. After automating care operations, BMC eliminated 3,200 excess days—that’s 9 years of patient time freed up. That’s capacity created without construction, without adding staff, and without compromising care.
In this webinar, Christopher Manasseh, MD, associate chief medical officer for inpatient operations at Boston Medical Center, shares how the organization shifted from manual discharge planning to automated capacity creation—helping more patients transition home sooner while saving 25,400 FTE hours and $3.2 million annually.
You’ll learn:
- How BMC reduced the administrative burden that delays home transitions
- Practical lessons for driving staff adoption without disrupting care delivery
- How automated care operations directly impact throughput, capacity and patient outcomes
