North Kansas City Hospital automates the equivalent of 80 FTEs and cuts patient check-in time by over 90% with Notable
NKCH & MH faced persistent staffing shortages, with 43–45 open job requisitions in early 2021, leaving them able to pre-register only 40% of patients and causing slow check-in and intake processes that led to frequent denials and write-offs.
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Notable's automation platform eliminated the need to hire 80 additional FTEs, reduced patient check-in time by over 90% (from approximately 4 minutes to about 10 seconds), cut no-shows by 34%, and raised the pre-registration rate from 40% to 80%, with 70% of staff willing to recommend Notable.
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Frequently asked questions
What did this team achieve with this AI workflow?
Notable's automation platform eliminated the need to hire 80 additional FTEs, reduced patient check-in time by over 90% (from approximately 4 minutes to about 10 seconds), cut no-shows by 34%, and raised the pre-regis…
What tools did this team use?
Notable.
What results were reported?
Check-in time reduction: more than 90%; FTE equivalent avoided: 80 additional FTEs; Administrative workforce percentage avoided: 10–15%; Staff recommendation rate: 70% (source-reported, not independently verified).
How is this patient onboarding AI workflow structured?
Vaccine scheduling pilot launch → Platform-wide deployment → Patient pre-registration → Rapid facility check-in.
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