AI-POWERED REFERRAL MATCHING
Smarter Referrals for FQHCs, Rural Hospitals, and Community Clinics
TrialClinIQ ingests health data through TEFCA/QHIN and direct EHR integration to flag patients who may benefit from a specialist referral — alerting providers and referral coordinators before conditions go undetected. Clinical trial matching included.
Smarter referrals
start with better
data infrastructure
INGEST
health data through TEFCA/QHIN and direct EHR integration
FLAG
patients who may benefit from a specialist referral — often before diagnosis
ALERT
providers and referral coordinators through a unified dashboard
IMPROVE
referral timelines for FQHCs, rural hospitals, and community clinics
Our Solutions
Better Referrals,
Better Outcomes
TEFCA/QHIN & EHR Integration
We ingest health data through TEFCA/QHIN networks and direct EHR integrations, giving your organization a real-time, longitudinal view of your patient population.
Learn MoreEarly Patient Flagging
AI identifies patients who may benefit from a specialist referral — flagging risk patterns in health records before conditions progress or go undiagnosed.
Learn MoreImproved Referral Timelines
Streamline the entire referral workflow — from identification to coordination — reducing delays and ensuring patients reach the right specialist faster.
Learn MoreProvider & Coordinator Alerts
Automatically notify the right people — attending providers and referral coordinators — through a unified dashboard when a patient needs action.
Learn MoreHIPAA-Compliant Infrastructure
Secure, HIPAA-compliant data aggregation and normalization purpose-built for FQHCs, rural hospitals, and community clinics.
Learn MoreClinical Trial Matching
Beyond referrals, TrialClinIQ matches eligible patients to clinical trials — giving your patients access to cutting-edge treatments and your organization additional research revenue.
Learn MoreHow it
works
Our platform connects to your health data, flags patients who need referrals, and gets the right people notified — faster. Here's how it works:
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