Automated Pediatric Verification
TL;DR
Epic EHR integration for pediatric clinic operations managers that auto-corrects age-based patient record verification errors (newborns, infants, teens) before Epic timeouts occur so they reduce claim rejections by 90% and cut manual verification fixes from 5+ hours/week to zero
Target Audience
Healthcare IT administrators managing pediatric clinic registration kiosks in Epic systems
The Problem
Problem Context
Pediatric clinics use Epic's digital check-in system, but its demographic verification fails for patients under 18. Newborns and teens get routed incorrectly, causing claim rejections and manual fixes. Staff spend hours daily cleaning up verification errors that Epic's native tools can't prevent.
Pain Points
Epic's verification flags timeout after 365 days, forcing staff to manually re-verify records. Age-based routing breaks because the system treats all under-18 patients the same. Manual fixes defeat the purpose of self-service check-ins, increasing wait times and family frustration. Claim rejections from unverified data cost clinics thousands monthly.
Impact
Clinics lose $500+/hour to staff overtime fixing verification errors. Claim rejections delay payments and create extra billing work. Families experience long wait times due to broken self-service, hurting patient satisfaction scores. Operational inefficiencies force clinics to hire more staff just to manage Epic's failures.
Urgency
This isn't a 'nice-to-have'—it's a revenue leak that directly impacts clinic budgets. Every unverified record risks claim denials, and every manual fix wastes staff time that could be spent on patient care. The problem escalates daily as more records age out of verification. Clinics can't afford to ignore this.
Target Audience
All pediatric clinics using Epic EHR (5,000+ in the US alone). Also affects:
- Children's hospitals with high newborn/teen volumes
- Multi-location pediatric practices
- Clinic IT teams struggling with Epic support tickets
- Billing departments dealing with claim rejections
Proposed AI Solution
Solution Approach
A specialized tool that integrates directly with Epic's API to automatically verify and route pediatric patient records. It uses age-based logic to handle newborns, infants, and teens differently, preventing the verification timeouts that break Epic's native system. Alerts staff before families are affected, ensuring smooth check-ins.
Key Features
- Age-Smart Routing: Applies different workflows for newborns (0-2 years), young children (3-
- , and teens (13-
- to prevent misrouting.
- Real-Time Alerts: Notifies staff via email/SMS when verification fails, so they can intervene before families notice.
- Audit Log: Tracks all verification events for compliance and billing protection.
User Experience
Clinic staff set it up in 10 minutes via Epic API credentials. The tool runs silently in the background, fixing verification issues automatically. When a problem occurs, they get an alert with one-click resolution options. Billing teams see fewer claim rejections, and families experience faster check-ins. No more manual fixes or frustrated parents.
Differentiation
Unlike generic Epic tools, this is built specifically for pediatric age-based routing. It doesn't just monitor—it fixes verification failures automatically. Competitors either require manual input or can't handle Epic's complex demographic rules. Our solution integrates directly with Epic's API, so no Epic updates break it.
Scalability
Starts at $49/month for single-location clinics. Multi-location practices pay $99/month with unlimited seats. As clinics grow, they can add more locations or upgrade to 'Premium Support' for custom Epic rule configurations. The API-based model scales effortlessly with Epic's infrastructure.
Expected Impact
Clinics save $500+/hour in staff time. Claim rejections drop by 90%, protecting revenue. Patient satisfaction improves as check-ins run smoothly. IT teams spend less time on Epic support tickets. The tool pays for itself in weeks by eliminating manual fixes and verification errors.