[Client Info]healthcare data network
A provider of interoperable data services for hospitals, clinics, and payers supporting value-based care and patient data exchange.
#1. summary.
This engagement centered on optimizing care coordination and patient record accuracy across a fragmented data ecosystem. The client struggled with duplicate patient records, data lag between systems, and inconsistent eligibility verification. Xuno implemented predictive identity resolution, data matching algorithms, and automated pre-authorization signals to reduce manual load and improve provider workflows across 40+ care delivery partners.
Technologies used:
#2. challenges.
Hospitals and clinics had disjointed systems that couldn’t communicate in real time. This led to duplicated records, coverage gaps, and delays in determining eligibility or treatment approval. Staff manually verified patient data, resulting in slow intake, authorization bottlenecks, and costly billing issues. Compliance demands added complexity and blocked adoption of non-certified third-party solutions.
#3. solution.
Xuno deployed AI-based patient identity resolution and real-time data normalization tools across the network. Our team built automated verification pipelines to reconcile payer data with provider intake forms, surfacing missing or outdated information instantly. We also developed dashboards that tracked authorization cycles, record completion rates, and EHR data gaps in real time—compliant with HIPAA and state-level security protocols.
#4. outcome.
Duplicate patient entries decreased by 62%, and eligibility verification time dropped from 6 days to under 24 hours. Administrative overhead shrank by 41%, and claims denials related to incomplete data declined by 28% within two billing cycles. Providers reported faster intake and reduced claim rework rates across all pilot locations.
