Continental Health Partners
The challenge
Continental Health Partners processed claims through a manual review queue that took an average of 4 hours per case, with inconsistent decisions across reviewers and no visibility into bottlenecks.
The solution
DreamImp trained a triage model on two years of historical claims data, deployed it behind an API inside the existing claims system, and built a live operations dashboard so managers could see queue health in real time.
Timeline
Discovery · Weeks 1–2
Audited the existing claims workflow and reviewer decision patterns.
Model training · Weeks 3–6
Trained and validated the triage model against two years of labeled claims.
Shadow deployment · Weeks 7–9
Ran the model alongside human reviewers without acting on its output.
Full rollout · Weeks 10–12
Model recommendations went live, with human review retained for edge cases.
Architecture diagram
Layers flow top to bottom: user-facing experience, intelligence, data, and infrastructure.
Interactive metrics
“DreamImp rebuilt our claims pipeline with AI and cut processing time dramatically.”
Adaeze Nwosu
COO, Continental Health Partners
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