How One Infusion Nurse's Attention to Detail Saved Patient's Life
Sophia, a pediatric patient with PANDAS (Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal infections), was receiving home infusion care, part of a family journey marked by years of uncertainty and inconsistent access to treatment. During a routine visit, home-infusion nurse Courtney noticed Sophia had gone unusually silent — a deviation from her normal behavior — and recognized it as a warning sign; she performed abdominal thrusts, and "after a few abdominal thrusts, the obstruction finally cleared," despite never having done the maneuver before in her career. Courtney's familiarity with Sophia's baseline behavior enabled her to catch the emergency, and she has continued supporting the family with ongoing troubleshooting and guidance in their care journey.
Optum is UnitedHealth Group's data and analytics arm, with one of the largest raw claims and EHR-derived real-world-data footprints of any vendor in this directory.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Optum on its own site — read the original case study on business.optum.com ↗
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