patient_onboarding · healthcare · workflow
North Kansas City Hospital achieves 99.3% patient satisfaction with Notable Intelligent Scheduling for digital registration and care gap outreach
NKCH found it difficult to proactively identify and screen patients based on risk factors in real time, and EHRs were not set up to automatically reconcile data or close care gaps—particularly when patients received care outside their primary care provider. Communicating current eligibility guidelines to specific patient cohorts during the COVID-19 vaccination rollout compounded the challenge.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · AI patient-provider matching
AI is leveraged to match each patient with the correct provider through Intelligent Scheduling.
Tools used
NotableIntelligent Scheduling
Outcome
NKCH achieved 99.3% patient satisfaction and scheduled 80,000 appointments within three weeks of deployment, with increased provider adoption of online scheduling and plans to expand Intelligent Scheduling across primary and specialty care areas.
Results
Time saved80,000
Volume99.3%
Grounding & classification
Source type: vendor customer story
21 fields verified against source quotes.
predictive analyticsrecommendation systemform submissionmedical recordmetric backednamed customerproduction runtime claimedtools describedworkflow describedhealthcarecustomer satisfactionthroughput increasevendor customer storyappointment schedulingpatient onboardingautonomous resolution