A New Jersey children's hospital cut no-shows 8.5% with a SAS Viya-based predictor.
Patient no-shows wasted staff time and revenue and delayed care for others. The hospital used the Predictive Health Solutions Patient No-Show Predictor built on SAS Viya, hosted on AWS and integrated with Epic. The page reports an 8.5% reduction in no-shows across the network within three months and 63% at one clinic.
SAS is an analytics and AI software vendor, used across pharma, hospitals and medtech for clinical trial programming, prediction and decision support
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by SAS on its own site — read the original case study on sas.com ↗
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