time2pay.net
Time2Pay
Turn every patient encounter into same-day payment.
Summary
Time2Pay is an automated billing and payment acceleration platform designed for family-owned optometry practices. It captures service time automatically via check-in and chair sensors, uses image recognition to document procedures, translates exam notes into insurance codes with an AI translation workflow, and manages the entire approval and claims process. Patients are billed instantly, with automated payment collection and smart follow-up, reducing the average payment cycle from 45+ days to under a week.
Target Audience
Family-owned optometry practice owners who personally manage or oversee billing and insurance claims, typically with 1-5 optometrists and limited administrative staff.
Economic Engine
Usage-based fee: a small percentage (e.g., 2%) of each patient payment collected through the platform, with a monthly minimum per provider. For practices that choose automated payment collection, a flat per-transaction fee applies.
Point of Difference
Unlike generic billing software, Time2Pay is purpose-built for optometry workflows and uses AI to directly convert clinical observations (including images of the eye) into billing codes, eliminating manual code lookup. It also creates a proprietary dataset of claim outcomes by procedure, region, and payer, which improves denial prediction and pricing recommendations over time.
Problem Statement
Family-owned optometry practices lose weeks to months between providing a service and receiving payment, due to manual billing, insurance claim rejections, and inefficient follow-up processes. This cash flow gap creates stress and financial instability for small practices with limited administrative resources.
Solution
A web and mobile app that integrates with existing practice management systems via event stream processing. Key components: AI image recognition to capture insurance cards and procedural documentation; an AI translation workflow that converts clinical notes into accurate billing codes; an approval workflow for insurance pre-authorizations and claims; and a booking and capacity optimizer to schedule follow-ups for balances owed. The system learns from each practice's claim outcomes to improve code accuracy and predict denial risks.
Core Value Proposition
Time2Pay compresses the time from service to payment by automating every step: capturing service time automatically, generating flawless claims, and collecting patient balances instantly—paying for itself by reducing claim rejections and the need for billing staff.
Killer Features
- Check-in Snap: Patient holds insurance card and ID to a tablet camera; AI instantly extracts all data and verifies eligibility before the appointment starts.
- Clinical Code Generator: The provider dictates or types notes, and an AI translation workflow creates accurate ICD-10 and CPT codes, with a side-by-side preview and edit capability.
- Auto-Dunning Engine: If a patient has an outstanding balance, Time2Pay automatically triggers a sequence of text, email, and voice reminders, and offers a one-click payment link with the outstanding amount.
- Denial Predictor: Before submitting a claim, the system flags potential denials (e.g., missing pre-auth, code mismatch) based on historical payer behavior and prompts the user to fix them.
Pros
- Dramatically reduces days sales outstanding (DSO) from weeks to days, improving cash flow for small practices.
- Eliminates manual code entry and claim rework, saving hours per week for practice owners and reducing burnout.
- Built-in approval workflows catch common denial causes before submission, improving first-pass claim acceptance rates.
- Data network effects: as more practices use Time2Pay, the AI models become more accurate at predicting optimal pricing, payer preferences, and denial patterns.
Cons
- Requires integration with existing practice management and EHR systems, which may need custom API work for older platforms.
- Practices with high patient self-pay volume may be resistant to the per-payment fee model.
- Some clinical staff may need training to adopt the new check-in and image capture workflow.
- The platform's reliance on image recognition for insurance cards and procedures may raise privacy concerns and require HIPAA-compliant storage.
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